Rozprawy doktorskie na temat „Separation estimation”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych rozpraw doktorskich naukowych na temat „Separation estimation”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj rozprawy doktorskie z różnych dziedzin i twórz odpowiednie bibliografie.
Gunawan, David Oon Tao Electrical Engineering & Telecommunications Faculty of Engineering UNSW. "Musical instrument sound source separation". Awarded By:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/41751.
Pełny tekst źródłaParfitt, Maxwell. "Estimation of magnet separation for magnetic suspension applications". Thesis, University of Reading, 2013. http://centaur.reading.ac.uk/36656/.
Pełny tekst źródłaChe, Viet Nhat Anh. "Cyclostationary analysis : cycle frequency estimation and source separation". Thesis, Saint-Etienne, 2011. http://www.theses.fr/2011STET4035.
Pełny tekst źródłaBlind source separation problem aims to recover a set of statistically independent source signals from a set of sensor observations. These observations can be modeled as an instantaneous or convolutive mixture of the same sources. In this dissertation, the source signals are assumed to be cyclostationary where their cycle frequencies may be known or unknown a priori. First, we establish relations between the spectrum, power spectrum of a source signal and its component, then we propose two novel algorithms to estimate its cycle frequencies. Next, for blind separation of instantaneous mixtures of sources, we present four algorithms based on orthogonal (or non-orthogonal) approximate diagonalization of the multiple cyclic temporal moment matrices, and the matrix pencil approach to extract the source signal. We also introduce and prove a new identifiability condition to show which kind of input cyclostationary sources can be separated based on second-order cyclostationarity statistics. For blind separation of convolutive mixtures of sources signal or blind deconvolution of FIR MIMO systems, we present a two-steps algorithm based on time domain approach for recovering the source signals. Numerical simulations are used throughout this thesis to demonstrate the effectiveness of our proposed approaches, and compare theirs performances with previous methods
Meseguer, Brocal Gabriel. "Multimodal analysis : informed content estimation and audio source separation". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS111.
Pełny tekst źródłaThis dissertation proposes the study of multimodal learning in the context of musical signals. Throughout, we focus on the interaction between audio signals and text information. Among the many text sources related to music that can be used (e.g. reviews, metadata, or social network feedback), we concentrate on lyrics. The singing voice directly connects the audio signal and the text information in a unique way, combining melody and lyrics where a linguistic dimension complements the abstraction of musical instruments. Our study focuses on the audio and lyrics interaction for targeting source separation and informed content estimation. Real-world stimuli are produced by complex phenomena and their constant interaction in various domains. Our understanding learns useful abstractions that fuse different modalities into a joint representation. Multimodal learning describes methods that analyse phenomena from different modalities and their interaction in order to tackle complex tasks. This results in better and richer representations that improve the performance of the current machine learning methods. To develop our multimodal analysis, we need first to address the lack of data containing singing voice with aligned lyrics. This data is mandatory to develop our ideas. Therefore, we investigate how to create such a dataset automatically leveraging resources from the World Wide Web. Creating this type of dataset is a challenge in itself that raises many research questions. We are constantly working with the classic ``chicken or the egg'' problem: acquiring and cleaning this data requires accurate models, but it is difficult to train models without data. We propose to use the teacher-student paradigm to develop a method where dataset creation and model learning are not seen as independent tasks but rather as complementary efforts. In this process, non-expert karaoke time-aligned lyrics and notes describe the lyrics as a sequence of time-aligned notes with their associated textual information. We then link each annotation to the correct audio and globally align the annotations to it. For this purpose, we use the normalized cross-correlation between the voice annotation sequence and the singing voice probability vector automatically, which is obtained using a deep convolutional neural network. Using the collected data we progressively improve that model. Every time we have an improved version, we can in turn correct and enhance the data
Lahlou, Mouncef. "Color-Based Surface Reflectance Separation for Scene Illumination Estimation and Rendering". FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/381.
Pełny tekst źródłaBecker, Saskia. "The Propagation-Separation Approach". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2014. http://dx.doi.org/10.18452/16960.
Pełny tekst źródłaIn statistics, nonparametric estimation is often based on local parametric modeling. For pointwise estimation of the target function, the parametric neighborhoods can be described by weights that depend on design points or on observations. As it turned out, the comparison of noisy observations at single points suffers from a lack of robustness. The Propagation-Separation Approach by Polzehl and Spokoiny [2006] overcomes this problem by using a multiscale approach with iteratively updated weights. The method has been successfully applied to a large variety of statistical problems. Here, we present a theoretical study and numerical results, which provide a better understanding of this versatile procedure. For this purpose, we introduce and analyse a novel strategy for the choice of the crucial parameter of the algorithm, namely the adaptation bandwidth. In particular, we study its variability with respect to the unknown target function. This justifies a choice independent of the data at hand. For piecewise constant and piecewise bounded functions, this choice enables theoretical proofs of the main heuristic properties of the algorithm. Additionally, we consider the case of a misspecified model. Here, we introduce a specific step function, and we establish a pointwise error bound between this function and the corresponding estimates of the Propagation-Separation Approach. Finally, we develop a method for the denoising of diffusion-weighted magnetic resonance data, which is based on the Propagation-Separation Approach. Our new procedure, called (ms)POAS, relies on a specific description of the data, which enables simultaneous smoothing in the measured positions and with respect to the directions of the applied diffusion-weighting magnetic field gradients. We define and justify two distance functions on the combined measurement space, where we follow a differential geometric approach. We demonstrate the capability of (ms)POAS on simulated and experimental data.
Han, Kun. "Supervised Speech Separation And Processing". The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1407865723.
Pełny tekst źródłaLiu, Yuzhou. "Deep CASA for Robust Pitch Tracking and Speaker Separation". The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1566179636974186.
Pełny tekst źródłaUmiltà, Caterina. "Development and assessment of a blind component separation method for cosmological parameter estimation". Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066453/document.
Pełny tekst źródłaThe Planck satellite observed the whole sky at various frequencies in the microwave range. These data are of high value to cosmology, since they help understanding the primordial universe through the observation of the cosmic microwave background (CMB) signal. To extract the CMB information, astrophysical foreground emissions need to be removed via component separation techniques. In this work I use the blind component separation method SMICA to estimate the CMB angular power spectrum with the aim of using it for the estimation of cosmological parameters. In order to do so, small scales limitations as the residual contamination of unresolved point sources and the noise need to be addressed. In particular, the point sources are modelled as two independent populations with a flat angular power spectrum: by adding this information, the SMICA method is able to recover the joint emission law of point sources. Auto-spectra deriving from one sky map have a noise bias at small scales, while cross-spectra show no such bias. This is particularly true in the case of cross-spectra between data-splits, corresponding to sky maps with the same astrophysical content but different noise properties. I thus adapt SMICA to use data-split cross-spectra only. The obtained CMB spectra from simulations and Planck 2015 data are used to estimate cosmological parameters. Results show that this estimation can be biased if the shape of the (weak) foreground residuals in the angular power spectrum is not well known. In the end, I also present results of the study of a Modified Gravity model called Induced Gravity
Landqvist, Ronnie. "Signal processing techniques in mobile communication systems : signal separation, channel estimation and equalization /". Karlskrona : Blekinge Institute of Technology, 2005. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/98bf8bfb44d67d86c1257099003e2fc1?OpenDocument.
Pełny tekst źródłaHerrmann, Felix J., i Eric Verschuur. "Separation of primaries and multiples by non-linear estimation in the curvelet domain". European Association of Geoscientists and Engineers, 2004. http://hdl.handle.net/2429/442.
Pełny tekst źródłaChen, Jitong. "On Generalization of Supervised Speech Separation". The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492038295603502.
Pełny tekst źródłaVilardaga, García-Cascón Santi. "An integrated framework for trajectory optimisation, prediction and parameter estimation for advanced aircraft separation concepts". Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/668090.
Pełny tekst źródłaDes del naixement de l’aviació comercial, les aplicacions i beneficis dels avions han crescut immensament. Això, en perfecta sincronia amb l’augment mitjà del poder adquisitiu de la societat, ha augmentat el nombre d’avions que volen pel cel. Aquest augment comporta, tanmateix, un cost, tant en aspectes mediambientals com en la capacitat de l’espai aeri. Aquesta tesi és concebuda per treballar en l’alleujament dels problemes que resulten de l’elevat nombre de vols, proposant nous conceptes i mecanismes per augmentar la capacitat de l’espai aeri amb seguretat i alhora minimitzar l’impacte ambiental de l’aviació. Aquesta recerca, complexa però extremadament necessària, és la protagonista d’una gran quantitat de treballs científics publicats. Des de la propulsió, fins a les aerostructures i la gestió del transit aeri, avui en dia es dedica un gran esforç a la reducció de l’impacte ambiental, així com a l’augment de la seguretat i la capacitat de l’espai aeri. Un tema prometedor és la introducció de nous conceptes d’operació que aprofiten al màxim l’optimització de trajectòries en les quatre dimensions (4D) i nivells d’automatització més elevats, tant per a sistemes de bord com de terra. Conceptes com ara operacions de perfil vertical continu són cada cop més utilitzats en el dia a dia. També, la reducció de la distancia recorreguda dels avions mitjançant rutes més directes esdevé una realitat com més va més evident. Per tal d’abastar un àmbit més ampli, els sistemes embarcats i de terra hauran d’esser actualitzats. És per això que s’hauria d’explorar minuciosament la quantificació dels beneficis esperats per als nou conceptes que es proposin, abans d’introduir-los a escala local o global. La investigació d’aquesta tesi doctoral proposa un sistema integrat per a l’optimització de trajectòries, la predicció, i l’estimació de paràmetres, amb el qual es poden avaluar nous conceptes de gestió del trànsit aeri. Aquest sistema té la flexibilitat d’optimitzar trajectòries que van des d’un vol lliure (free-flight) fins a una estructura de ruta molt estricta, des d’una llibertat completa al perfil vertical fins a una adhesió especifica als nivells de vol, etc. La definició d’escenaris és prou genèrica com per permetre una àmplia varietat de tipologies de vol, fases de vol, fases de rendiment, restriccions al llarg de la trajectòria, entre molts altres aspectes. L’estratègia d’optimització 4D d´ona com a resultat una trajectòria que no només compleix les característiques del vol (i de l’entorn configurat), sinó que també minimitza un objectiu funcional determinat, com ara el cost operatiu, el temps, el combustible, etc. I com ja s’ha mencionat breument, aquesta mateixa estratègia d’optimització s’adapta lleugerament per presentar una innovadora estratègia per realitzar prediccions de trajectòria adaptativa (amb monitoratge de conformitat) i per estimar paràmetres crucials inicialment desconeguts d’un avió. Per resoldre un problema tan complex, es formula un problema de control òptim i es converteix en un problema de programació no lineal (NLP) amb mètodes de col·locació directa. Aquest problema es resol numèricament mitjançant un programari de resolució de problemes NLP i se n’extreuen els resultats per a l’anàlisi. Es presenta una arquitectura de programari integral, aprofitant el millor de dos mons: un llenguatge de programació orientat a objectes (C++) i un llenguatge matemàtic algèbric molt potent (GAMS). La interacció entre aquests dos mons permet la flexibilitat i la genericitat del sistema d’optimització desenvolupat A partir d’aquest sistema d’optimització, els diferents capítols de la tesi produeixen resultats operatius rellevants. Això no només demostra que el sistema pot fer front a una gran varietat de problemes, sinó que també contribueix a l’objectiu final d’augmentar de forma segura la capacitat de l’espai aeri i l’eficiència del transit aeri. Es presenten diferents casos d’ ´ us i exemples il·lustratius centrats en enlairaments dins l’àrea de maniobra terminal (TMA). Concretament, quatre etapes formen aquesta part de la tesi. Primer, es presenta una avaluació de l’eficiència dels temps requerits d’arribada (RTA) com a forma d’augmentar la capacitat del transit aeri. Aquest estudi proporciona resultats sobre el cost en termes de combustible i temps d’imposar aquests requisits de temps dins d’una TMA (que pot arribar a xifres sorprenentment baixes). A més, mostra com d’efectiva pot ser aquesta estratègia per a la separació del transit. En segon lloc, es presenta la implementació d’una metodologia de separació d’avions mitjançant el sistema d’optimització. En ella, una aeronau (l’aeronau) genera una predicció de trajectòria d’un avio extern amb qui preveu tenir un conflicte proper (l’intrús). Seguidament, l’aeronau calcula la seva pròpia trajectòria òptima que es desvia d’aquella predita de l’intrús. S’implementa una estratègia de control de la conformitat per assegurar que la separació es mantingui durant tot el vol, reconeixent les desviacions i reaccionant en conseqüència. En tercer lloc, la predicció de la trajectòria intrusa es veu millorada per l’estimació d’una massa equivalent mitjançant estats passats coneguts (el deixant). Com era d’esperar, com més llarg sigui aquest deixant, millor serà l’estimació de la massa. Tanmateix, s’aconsegueix una precisió impressionant molt poc després de l’inici del vol. Finalment, es presenta la implementació d’una estratègia de separació de múltiples aeronaus. En aquesta formulació, s’optimitzen simultàniament les trajectòries de diversos avions dins el mateix problema d’optimització, mantenint la separació entre ells. La complexitat de l’alineació temporal de les coordenades d’avions per a una comparació justa s’aborda des d’una perspectiva innovadora. En conclusió, es comparen les diferents estratègies de separació d’avions i, sorprenentment, els millors resultats de cada estratègia són força similars. De fet, l’augment del cost operatiu que presenten les diferents estratègies (en comparació amb la trajectòria òptima individual) és insignificant i sempre millor que el paradigma actual de separació del control de trànsit aeri.
Flake, Darl D. II. "Separation of Points and Interval Estimation in Mixed Dose-Response Curves with Selective Component Labeling". DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4697.
Pełny tekst źródłaAgrawal, Gaurav. "Systematic optimization and experimental validation of simulated moving bed chromatography systems for ternary separations and equilibrium limited reactions". Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54028.
Pełny tekst źródłaNguyen, Linh Trung. "Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing". Queensland University of Technology, 2004. http://eprints.qut.edu.au/15984/.
Pełny tekst źródłaHu, Junqi. "Estimation of Runway Throughput with Reduced Wake Vortex Separation, Technical Buffer and Runway Occupancy Time Considerations". Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85047.
Pełny tekst źródłaMaster of Science
Nguyen, Linh-Trung. "Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing". Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15984/1/Nguyen_Linh-Trung_Thesis.pdf.
Pełny tekst źródłaBrodin, Henrik. "CCASENSE: Canonical Correlation Analysis for Estimation of Sensitivity Maps for Fast MRI". Thesis, Linköping University, Department of Biomedical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7953.
Pełny tekst źródłaMagnetic Resonance Imaging is an established technology for both imaging and
functional studies in clinical and research environments. The field is still very
research intense. Two major research areas are acquisition time and signal quality.
The last decade has provided tools for more efficient possibilities of trading these
factors against each other through parallel imaging.
In this thesis one parallel imaging method, Sensitivity Encoding for fast
MRI (SENSE) is examined. An alternative solution CCASENSE is developed.
CCASENSE reduces the acquisition time by estimating the sensitivity maps required
for SENSE to work instead of running a reference scan. The estimation
process is done by Blind Source Separation through Canonical Correlation Analysis.
It is shown that CCASENSE appears to estimate the sensitivity maps better
than ICASENSE which is a similar algorithm.
Oppizzi, Filippo. "Non-Gaussianity in CMB analysis: bispectrum estimation and foreground subtraction". Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3425298.
Pełny tekst źródłal tema centrale di questa tesi `e lo sviluppo di metodi statistici e numerici per lo studio di caratteristiche non gaussiane e/o anisotrope in esperimenti mirati alla misura dellaradiazione cosmica di fondo (CMB, dall’inglese Cosmic Microwave Background). Ciconcentriamo su due tipi molto diversi di segnali non gaussiani: il primo `e la non Gaussianit`a primordiale, che si ipotizza venga generata nell’Universo primordiale durante l’epoca inflazionaria. Lo studio di questo tipo di non-Gaussianit`a permette di ottenere preziose informazioni cosmologiche. Il secondo `e invece la non-Gaussianit`a generata dalla contaminazione dovuta al foreground astrofisico. In questo caso, invece, il nostroobiettivo `e utilizzare la non-Gaussianit`a come tracciante per identificare e rimuovere lecomponenti spurie non cosmologiche (ovviamente l’emissione di foreground contiene informazioni astrofisiche rilevanti, ma il tema di questa tesi verte sulla cosmologia, quindi verra' considerata solo in virtu' dell’effetto contaminante in esperimenti che mirano a ricostruire la CMB). Sforzi considerevoli sono stati spesi finora nel tentativo di misurare piccole deviazionidalla Gaussianita' nelle anisotropie della CMB, che fornirebbero informazioni inestimabilisull’epoca dell’Inflazione. La teoria prevede che l’Inflazione produca un campo di fluttuazioni isotropo e quasi Gaussiano. Tuttavia, una grande quantit`a di modelli prevede anche l’insorgenza di piccole componenti non Gaussiane, le cui caratteristiche dipendono fortemente dal modello inflazionario sottostante. Questa `e la ragione principaledel grande interesse della comunit`a cosmologica per la misura della non Gaussianita'. Naturalmente, nella ricerca della non-Gaussianit`a primordiale `e necessario ricorrere astatistiche di ordine superiore rispetto allo spettro di potenza. Ci si aspetta che la maggior parte del segnale non Gaussiano prodotto durante l’Inflazione si presenti sotto formadi correlazioni a tre punti, che possono essere misurate nello spazio armonico dal bispettro. Purtroppo, a causa dell’elevato tempo computazionale richiesto, non `e possibile calcolare direttamente il bispettro dai dati. La ricerca di segnali non gaussiani consiste quindi nel misurare la correlazione tra il bispettro dei dati e determinati modelli teorici che riproducono il segnale predetto da specifici modelli inflazionari. Molte teorie inflazionarie producono correlazioni ad alto ordine il cui bispettro presenta un ampiezza dipendente dalla scala. Questo `e il motivo per cui una parte significativa di questa tesi sara' dedicata allo sviluppo di tecniche statistiche per la stima di bispettri con un esplicita dipendenza dalla scala in osservazioni della CMB. I risultati presentati in questa tesi sono ottenuti dalle osservazioni dei satelliti WMAP e Planck. La seconda parte di questo lavoro riguarda invece il problema dell’identificazione dellediverse fonti che contribuiscono alla luminosit`a del cielo nelle frequenze delle microonde. L’emissione di foreground potenzialmente produce grandi deviazioni dalla Gaussianita, che in linea di principio possono essere utilizzate per identificare e rimuovere i componenti spuri dalle mappe del cielo a microonde. Il nostro obiettivo `e lo sviluppo di una tecnica di pulizia dai foreground basata sull’ipotesi che, se i dati vengono rappresentati nella base appropriata, il segnale delle emissioni di foreground appare sparso. La sparsit`a implica che la maggior parte del segnale sia concentrata in pochi elementi della base, che possono essere usati per ricostruire il componente corrispondente ricorrendo a una tecnica detta thresholding. Abbiamo verificato che il frame delle needlet sferiche ha le propriet`a ideali per separare il segnale coerente del foreground dal segnale isotropo e stocastico della CMB. I principali vantaggi della nostra tecnica di needlet thresholding sono, in primo luogo, che non richiede di avere osservazioni a diverse frequenze e inoltre che pu`o essere utilizzata in combinazione con altri metodi. Pertanto pu`o essere uno strumento prezioso in esperimenti che osservano il cielo in un limitato intervallo di frequenza come, per esempio, gli attuali esperimenti che mirano a misurare la CMB da terra.
Nauclér, Peter. "Estimation and Control of Resonant Systems with Stochastic Disturbances". Doctoral thesis, Uppsala University, Department of Information Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8688.
Pełny tekst źródłaThe presence of vibration is an important problem in many engineering applications. Various passive techniques have traditionally been used in order to reduce waves and vibrations, and their harmful effects. Passive techniques are, however, difficult to apply in the low frequency region. In addition, the use of passive techniques often involve adding mass to the system, which is undesirable in many applications.
As an alternative, active techniques can be used to manipulate system dynamics and to control the propagation of waves and vibrations. This thesis deals with modeling, estimation and active control of systems that have resonant dynamics. The systems are exposed to stochastic disturbances. Some of them excite the system and generate vibrational responses and other corrupt measured signals.
Feedback control of a beam with attached piezoelectrical elements is studied. A detailed modeling approach is described and system identification techniques are employed for model order reduction. Disturbance attenuation of a non-measured variable shows to be difficult. This issue is further analyzed and the problems are shown to depend on fundamental design limitations.
Feedforward control of traveling waves is also considered. A device with properties analogous to those of an electrical diode is introduced. An `ideal´ feedforward controller based on the mechanical properties of the system is derived. It has, however, poor noise rejection properties and it therefore needs to be modified. A number of feedforward controllers that treat the measurement noise in a statistically sound way are derived.
Separation of overlapping traveling waves is another topic under investigation. This operation also is sensitive to measurement noise. The problem is thoroughly analyzed and Kalman filtering techniques are employed to derive wave estimators with high statistical performance.
Finally, a nonlinear regression problem with close connections to unbalance estimation of rotating machinery is treated. Different estimation techniques are derived and analyzed with respect to their statistical accuracy. The estimators are evaluated using the example of separator balancing.
Oprisan, Ana. "Fluctuations, Phase Separation and Wetting Films near Liquid-Gas Critical Point". ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/435.
Pełny tekst źródłaCHAUHAN, SHASHANK. "Parameter Estimation and Signal Processing Techniques for Operational Modal Analysis". University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1204829186.
Pełny tekst źródłaDegottex, Gilles. "Glottal source and vocal-tract separation : estimation of glottal parameters, voice transformation and synthesis using a glottal model". Paris 6, 2010. http://www.theses.fr/2010PA066399.
Pełny tekst źródłaKempe, Henrik. "Advances in Separation Science : . Molecular Imprinting: Development of Spherical Beads and Optimization of the Formulation by Chemometrics". Doctoral thesis, Stockholm University, Department of Analytical Chemistry, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-6582.
Pełny tekst źródłaAn intrinsic mathematical model for simulation of fixed bed chromatography was demonstrated and compared to more simplified models. The former model was shown to describe variations in the physical, kinetic, and operating parameters better than the latter ones. This resulted in a more reliable prediction of the chromatography process as well as a better understanding of the underlying mechanisms responsible for the separation. A procedure based on frontal liquid chromatography and a detailed mathematical model was developed to determine effective diffusion coefficients of proteins in chromatographic gels. The procedure was applied to lysozyme, bovine serum albumin, and immunoglobulin γ in Sepharose™ CL-4B. The effective diffusion coefficients were comparable to those determined by other methods.
Molecularly imprinted polymers (MIPs) are traditionally prepared as irregular particles by grinding monoliths. In this thesis, a suspension polymerization providing spherical MIP beads is presented. Droplets of pre-polymerization solution were formed in mineral oil with no need of stabilizers by vigorous stirring. The droplets were transformed into solid spherical beads by free-radical polymerization. The method is fast and the performance of the beads comparable to that of irregular particles. Optimizing a MIP formulation requires a large number of experiments since the possible combinations of the components are huge. To facilitate the optimization, chemometrics was applied. The amounts of monomer, cross-linker, and porogen were chosen as the factors in the model. Multivariate data analysis indicated the influence of the factors on the binding and an optimized MIP composition was identified. The combined use of the suspension polymerization method to produce spherical beads with the application of chemometrics was shown in this thesis to drastically reduce the number of experiments and the time needed to design and optimize a new MIP.
Nessel, James Aaron. "Estimation of Atmospheric Phase Scintillation Via Decorrelation of Water Vapor Radiometer Signals". University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1447701180.
Pełny tekst źródłaHu, Ke. "Speech Segregation in Background Noise and Competing Speech". The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1339018952.
Pełny tekst źródłaGrosfils, Valérie. "Modelling and parametric estimation of simulated moving bed chromatographic processes (SMB)". Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210313.
Pełny tekst źródłaLes modèles mathématiques décrivant les procédés SMB consistent en les bilans massiques des composés à séparer. Ce sont des modèles à paramètres distribués (décrit par des équations aux dérivées partielles). Certains ont un comportement dynamique de type hybride (c'est-à-dire faisant intervenir des dynamiques à temps continu et des événements discrets). Quelques modèles ont été développés dans la littérature. Il s’agit de sélectionner ceux qui paraissent les plus intéressants au niveau de leur temps de calcul, de leur efficacité et du nombre de paramètres à déterminer. En outre, de nouvelles structures de modèles sont également proposées afin d’améliorer le compromis précision / temps de calcul.
Ces modèles comportent généralement certains paramètres inconnus. Ils consistent soit, en des grandeurs physiques mal définies au départ des données de base, soit, en des paramètres fictifs, introduits à la suite d'hypothèses simplificatrices et englobant à eux seuls un ensemble de phénomènes. Il s’agit de mettre au point une procédure systématique d’estimation de ces paramètres requérant le moins d’expériences possible et un faible temps de calcul. La valeur des paramètres est estimée, au départ de mesures réelles, à l'aide d'une procédure de minimisation d'une fonction de coût qui indique l’écart entre les grandeurs estimées par le modèle et les mesures. La sensibilité du modèle aux écarts sur les paramètres, ainsi que l’identifiabilité du modèle (possibilité de déterminer de manière univoque les paramètres du modèle) sur la base de mesures en fonctionnement normal sont étudiées. Ceci fournit un critère de comparaison supplémentaire entre les différents modèles et permet en outre de déterminer les conditions expérimentales optimales (choix du type d’expérience, choix des signaux d’entrée, choix du nombre et de la position des points de mesures…) dans lesquelles les mesures utilisées lors de l’estimation paramétrique doivent être relevées. De plus, les erreurs d’estimation sur les paramètres et les erreurs de simulation sont estimées. La procédure choisie est ensuite validée sur des données expérimentales recueillies sur un procédé pilote existant au Max-Planck-Institut für Dynamik komplexer technischer systeme (Magdebourg, Allemagne).
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
EL, FALLAH MOHAMMED ZOUBAIR. "Effet du recouvrement de pics sur la separation chromatographique : estimation de la complexite des melanges et de la limite de determination quantitative". Paris 6, 1989. http://www.theses.fr/1989PA066171.
Pełny tekst źródłaStöter, Fabian-Robert [Verfasser], Bernd [Akademischer Betreuer] Edler, Bernd [Gutachter] Edler i Gael [Gutachter] Richard. "Separation and Count Estimation for Audio Sources Overlapping in Time and Frequency / Fabian-Robert Stöter ; Gutachter: Bernd Edler, Gael Richard ; Betreuer: Bernd Edler". Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2020. http://d-nb.info/1203879490/34.
Pełny tekst źródłaAnand, K. "Methods for Blind Separation of Co-Channel BPSK Signals Arriving at an Antenna Array and Their Performance Analysis". Thesis, Indian Institute of Science, 1995. https://etd.iisc.ac.in/handle/2005/123.
Pełny tekst źródłaAnand, K. "Methods for Blind Separation of Co-Channel BPSK Signals Arriving at an Antenna Array and Their Performance Analysis". Thesis, Indian Institute of Science, 1995. http://hdl.handle.net/2005/123.
Pełny tekst źródłaRouvière, Clémentine. "Experimental parameter estimation in incoherent images via spatial-mode demultiplexing". Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS033.
Pełny tekst źródłaHistorically, the resolution of optical imaging systems was dictated by diffraction, and the Rayleigh criterion was long considered an unsurpassable limit. In superresolution microscopy, this limit is overcome by manipulating the emission properties of the object. However, in passive imaging, when sources are uncontrolled, reaching sub-Rayleigh resolution remains a challenge. Here, we implement a quantum-metrology-inspired approach for estimating the separation between two incoherent sources, achieving a sensitivity five orders of magnitude beyond the Rayleigh limit. Using a spatial mode demultiplexer, we examine scenes with bright and faint sources, through intensity measurements in the Hermite-Gauss basis. Analysing sensitivity and accuracy over an extensive range of separations, we demonstrate the remarkable effectiveness of demultiplexing for sub-Rayleigh separation estimation. These results effectively render the Rayleigh limit obsolete for passive imaging
Cohen-Hadria, Alice. "Estimation de descriptions musicales et sonores par apprentissage profond". Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS607.
Pełny tekst źródłaIn Music Information Retrieval (MIR) and voice processing, the use of machine learning tools has become in the last few years more and more standard. Especially, many state-of-the-art systems now rely on the use of Neural Networks.In this thesis, we propose a wide overview of four different MIR and voice processing tasks, using systems built with neural networks. More precisely, we will use convolutional neural networks, an image designed class neural networks. The first task presented is music structure estimation. For this task, we will show how the choice of input representation can be critical, when using convolutional neural networks. The second task is singing voice detection. We will present how to use a voice detection system to automatically align lyrics and audio tracks.With this alignment mechanism, we have created the largest synchronized audio and speech data set, called DALI. Singing voice separation is the third task. For this task, we will present a data augmentation strategy, a way to significantly increase the size of a training set. Finally, we tackle voice anonymization. We will present an anonymization method that both obfuscate content and mask the speaker identity, while preserving the acoustic scene
Gan, Tong. "Study to improve measurement accuracy and resolution of atmospheric radars". 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/202819.
Pełny tekst źródłaGloaguen, Jean-Rémy. "Estimation du niveau sonore de sources d'intérêt au sein de mixtures sonores urbaines : application au trafic routier". Thesis, Ecole centrale de Nantes, 2018. http://www.theses.fr/2018ECDN0023/document.
Pełny tekst źródłaAcoustic sensor networks are being set up in several major cities in order to obtain a more detailed description of the urban sound environment. One challenge is to estimate useful indicators such as the road traffic noise level on the basis of sound recordings. This task is by no means trivial because of the multitude of sound sources that composed this environment. For this, Non-negative Matrix Factorization (NMF) is considered and applied on two corpuses of simulated urban sound mixtures. The interest of simulating such mixtures is the possibility of knowing all the characteristics of each sound class including the exact road traffic noise level. The first corpus consists of 750 30-second scenes mixing a road traffic component with a calibrated sound level and a more generic sound class. The various results have notably made it possible to propose a new approach, called ‘Thresholded Initialized NMF', which is proving to be the most effective. The second corpus created makes it possible to simulate sound mixtures more representatives of recordings made in cities whose realism has been validated by a perceptual test. With an average noise level estimation error of less than 1.3 dB, the Thresholded Initialized NMF stays the most suitable method for the different urban noise environments. These results open the way to the use of this method for other sound sources, such as birds' whistling and voices, which can eventually lead to the creation of multi-source noise maps
Mamouni, Nezha. "Utilisation des Copules en Séparation Aveugle de Sources Indépendantes/Dépendantes". Thesis, Reims, 2020. http://www.theses.fr/2020REIMS007.
Pełny tekst źródłaThe problem of Blind Source Separation (BSS) consists in retrieving unobserved mixed signals from unknown mixtures of them, where there is no, or very limited, information about the source signals and/or the mixing system. In this thesis, we present algorithms in order to separate instantaneous and convolutive mixtures. The principle of these algorithms is to minimize, appropriate separation criteria based on copula densities, using descent gradient type algorithms. These methods can magnificently separate instantaneous and convolutive mixtures of possibly dependent source components even when the copula model is unknown
Fourer, Dominique. "Approche informée pour l’analyse du son et de la musique". Thesis, Bordeaux 1, 2013. http://www.theses.fr/2013BOR14973/document.
Pełny tekst źródłaIn the field of audio signal processing, analysis is an essential step which allows interactions with existing signals. In fact, the quality of transformed or synthesized audio signals depends on the accuracy over the estimated model parameters. However, theoretical limits exist and show that the best accuracy which can be reached by a classic estimator can be insufficient for the most demanding applications (e.g. active listening of music). The work which is developed in this thesis revisits well known audio analysis problems like spectral analysis, automatic transcription of music and audio sources separation using the novel ``informed'' approach. This approach takes advantage of a specific configuration where the parameters of the elementary signals which compose a mixture are known before the mixing process. Using the tools which are proposed in this thesis, the minimal side information is computed and transmitted with the mixture signal. This allows any kind of transformation of the mixture signal with a constraint over the resulting quality. When the compatibility with existing audio formats is required, the side information is embedded directly into the analyzed audio signal using a watermarking technique. This work describes several theoretical and practical aspects of audio signal processing. We show that a classic estimator combined with the sufficient side information can obtain better performances than classic approaches (classic estimation or pure coding)
Bentley, Jason A. "Systematic process development by simultaneous modeling and optimization of simulated moving bed chromatography". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47531.
Pełny tekst źródłaMarxer, Piñón Ricard. "Audio source separation for music in low-latency and high-latency scenarios". Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123808.
Pełny tekst źródłaEsta tesis propone métodos para tratar las limitaciones de las técnicas existentes de separación de fuentes musicales en condiciones de baja y alta latencia. En primer lugar, nos centramos en los métodos con un bajo coste computacional y baja latencia. Proponemos el uso de la regularización de Tikhonov como método de descomposición del espectro en el contexto de baja latencia. Lo comparamos con las técnicas existentes en tareas de estimación y seguimiento de los tonos, que son pasos cruciales en muchos métodos de separación. A continuación utilizamos y evaluamos el método de descomposición del espectro en tareas de separación de voz cantada, bajo y percusión. En segundo lugar, proponemos varios métodos de alta latencia que mejoran la separación de la voz cantada, gracias al modelado de componentes que a menudo no se toman en cuenta, como la respiración y las consonantes. Finalmente, exploramos el uso de correlaciones temporales y anotaciones manuales para mejorar la separación de los instrumentos de percusión y señales musicales polifónicas complejas.
This thesis proposes specific methods to address the limitations of current music source separation methods in low-latency and high-latency scenarios. First, we focus on methods with low computational cost and low latency. We propose the use of Tikhonov regularization as a method for spectrum decomposition in the low-latency context. We compare it to existing techniques in pitch estimation and tracking tasks, crucial steps in many separation methods. We then use the proposed spectrum decomposition method in low-latency separation tasks targeting singing voice, bass and drums. Second, we propose several high-latency methods that improve the separation of singing voice by modeling components that are often not accounted for, such as breathiness and consonants. Finally, we explore using temporal correlations and human annotations to enhance the separation of drums and complex polyphonic music signals.
Cavalcante, Charles Casimiro. "Sobre separação cega de fontes : proposições e analise de estrategias para processamento multi-usuario". [s.n.], 2004. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260272.
Pełny tekst źródłaTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-04T00:19:46Z (GMT). No. of bitstreams: 1 Cavalcante_CharlesCasimiro_D.pdf: 8652621 bytes, checksum: bf432c4988b60a8e2465828f4f748b47 (MD5) Previous issue date: 2004
Resumo: Esta tese é dedicada ao estudo de tecnicas de separação cega de fontes aplicadas ao contexto de processamento multiusuario em comunicações digitais. Utilizando estrategias de estimação da função de densidade de probabilidade (fdp), são propostos dois metodos de processamento multiusuario que permitem recuperar os sinais transmitidos pela medida de similaridade de Kullback-Leibler entre a fdp dos sinais a saida do dispositivo de separação e um modelo parametrico que contem as caracteristicas dos sinais transmitidos. Alem desta medida de similaridade, são empregados diferentes metodos que garantem a descorrelação entre as estimativas das fontes de tal forma que os sinais recuperados sejam provenientes de diferentes fontes. E ainda realizada a analise de convergencia dos metodos e suas equivalencias com tecnicas classicas resultando em algumas importantes relações entre criterios cegos e supervisionados, tais como o criterio proposto e o criterio de maxima a posteriori. Estes novos metodos aliam a capacidade de recuperação da informação uma baixa complexidade computacional. A proposição de metodos baseados na estimativa da fdp permitiu a realização de um estudo sobre o impacto das estatisticas de ordem superior em algoritmos adaptativos para separação cega de fontes. A utilização da expansão da fdp em series ortonormais permite avaliar atraves dos cumulantes a dinamica de um processo de separação de fontes. Para tratar com problemas de comunicação digital e proposta uma nova serie ortonormal, desenvolvida em torno de uma função de densidade de probabilidade dada por um somatorio de gaussianas. Esta serie e utilizada para evidenciar as diferenças em relação ao desempenho em tempo real ao se reter mais estatisticas de ordem superior. Simulações computacionais são realizadas para evidenciar o desempenho das propostas frente a tecnicas conhecidas da literatura em varias situações de necessidade de alguma estrategia de recuperação de sinais
Abstract: This thesis is devoted to study blind source separation techniques applied to multiuser processing in digital communications. Using probability density function (pdf) estimation strategies, two multiuser processing methods are proposed. They aim for recovering transmitted signal by using the Kullback-Leibler similarity measure between the signals pdf and a parametric model that contains the signals characteristics. Besides the similarity measure, different methods are employed to guarantee the decorrelation of the sources estimates, providing that the recovered signals origin from different sources. The convergence analysis of the methods as well as their equivalences with classical techniques are presented, resulting on important relationships between blind and supervised criteria such as the proposal and the maximum a posteriori one. Those new methods have a good trade-off between the recovering ability and computational complexity. The proposal os pdf estimation-based methods had allowed the investigation on the impact of higher order statistics on adaptive algorithms for blind source separation. Using pdf orthonormal series expansion we are able to evaluate through cumulants the dynamics of a source separation process. To be able to deal with digital communication signals, a new orthonormal series expansion is proposed. Such expansion is developed in terms of a Gaussian mixture pdf. This new expansion is used to evaluate the differences in real time processing when we retain more higher order statistics. Computational simulations are carried out to stress the performance of the proposals, faced to well known techniques reported in the literature, under the situations where a recovering signal strategy is required.
Doutorado
Telecomunicações e Telemática
Doutor em Engenharia Elétrica
Carlo, Diego Di. "Echo-aware signal processing for audio scene analysis". Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S075.
Pełny tekst źródłaMost of audio signal processing methods regard reverberation and in particular acoustic echoes as a nuisance. However, they convey important spatial and semantic information about sound sources and, based on this, recent echo-aware methods have been proposed. In this work we focus on two directions. First, we study the how to estimate acoustic echoes blindly from microphone recordings. Two approaches are proposed, one leveraging on continuous dictionaries, one using recent deep learning techniques. Then, we focus on extending existing methods in audio scene analysis to their echo-aware forms. The Multichannel NMF framework for audio source separation, the SRP-PHAT localization method, and the MVDR beamformer for speech enhancement are all extended to their echo-aware versions
Madrolle, Stéphanie. "Méthodes de traitement du signal pour l'analyse quantitative de gaz respiratoires à partir d’un unique capteur MOX". Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT065/document.
Pełny tekst źródłaNon-invasively taken, exhaled breath contains many volatile organic compounds (VOCs) whose amount depends on the health of the subject. Quantitative analysis of exhaled air is of great medical interest, whether for diagnosis or for a treatment follow-up. As part of my thesis, we propose to study a device to analyze exhaled breath, including these VOCs. This multidisciplinary thesis addresses various aspects, such as the choice of sensors, materials and acquisition modes, the acquisition of data using a gas bench, and then the processing of the signals obtained to quantify a gas mixture. We study the response of a metal oxide sensor (MOX) to mixtures of two gases (acetone and ethanol) diluted in synthetic air (oxygen and nitrogen). Then, we use source separation methods in order to distinguish the two gases, and to determine their concentration. To give satisfactory results, these methods require first to use several sensors for which we know the mathematical model describing the interaction of the mixture with the sensor, and which present a sufficient diversity in the calibration measurements to estimate the model coefficients. In this thesis, we show that MOX sensors can be described by a linear-quadratic mixing model, and that a dual temperature acquisition mode can generate two virtual sensors from a single physical sensor. To quantify the components of the mixture from measurements on these (virtual) sensors, we have develop supervised and unsupervised source separation methods, applied to this nonlinear model: independent component analysis, least squares methods (Levenberg Marquardt algorithm), and a Bayesian method were studied. The experimental results show that these methods make it possible to estimate the VOC concentrations of a gas mixture, accurately, while requiring only a few calibration points
Boudjellal, Abdelouahab. "Contributions à la localisation et à la séparation de sources". Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2063.
Pełny tekst źródłaSignal detection, localization, and separation problems date back to the beginning of the twentieth century. Nowadays, this subject is still a hot topic receiving more and more attention, notably with the rapid growth of wireless communication systems that arose in the last two decades and it turns out that many challenging aspects remain poorly addressed by the available literature relative to this subject. This thesis deals with signal detection, localization using temporal or directional measurements, and separation of dependent source signals. The main objective is to make use of some available priors about the source signals such as sparsity, cyclo-stationarity, non-circularity, constant modulus, autoregressive structure or training sequences in a cooperative framework. The first part is devoted to the analysis of (i) signal’s time-of-arrival estimation using a new minimum error rate based detector, (ii) noise power estimation using an improved order-statistics estimator and (iii) side information impact on direction-of-arrival estimation accuracy and resolution. In the second part, the source separation problem is investigated at the light of different priors about the original sources. Three kinds of prior have been considered : (i) separation of constant modulus communication signals, (ii) separation of dependent source signals knowing their dependency structure and (iii) separation of dependent autoregressive sources knowing their autoregressive structure
Rafi, Selwa. "Chaînes de Markov cachées et séparation non supervisée de sources". Thesis, Evry, Institut national des télécommunications, 2012. http://www.theses.fr/2012TELE0020/document.
Pełny tekst źródłaThe restoration problem is usually encountered in various domains and in particular in signal and image processing. It consists in retrieving original data from a set of observed ones. For multidimensional data, the problem can be solved using different approaches depending on the data structure, the transformation system and the noise. In this work, we have first tackled the problem in the case of discrete data and noisy model. In this context, the problem is similar to a segmentation problem. We have exploited Pairwise and Triplet Markov chain models, which generalize Hidden Markov chain models. The interest of these models consist in the possibility to generalize the computation procedure of the posterior probability, allowing one to perform bayesian segmentation. We have considered these methods for two-dimensional signals and we have applied the algorithms to retrieve of old hand-written document which have been scanned and are subject to show through effect. In the second part of this work, we have considered the restoration problem as a blind source separation problem. The well-known "Independent Component Analysis" (ICA) method requires the assumption that the sources be statistically independent. In practice, this condition is not always verified. Consequently, we have studied an extension of the ICA model in the case where the sources are not necessarily independent. We have introduced a latent process which controls the dependence and/or independence of the sources. The model that we propose combines a linear instantaneous mixing model similar to the one of ICA model and a probabilistic model on the sources with hidden variables. In this context, we show how the usual independence assumption can be weakened using the technique of Iterative Conditional Estimation to a conditional independence assumption
Lassami, Nacerredine. "Représentations parcimonieuses et analyse multidimensionnelle : méthodes aveugles et adaptatives". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0139.
Pełny tekst źródłaDuring the last decade, the mathematical and statistical study of sparse signal representations and their applications in audio, image, video processing and source separation has been intensively active. However, exploiting sparsity in multidimensional processing contexts such as digital communications remains a largely open problem. At the same time, the blind methods seem to be the answer to a lot of problems recently encountered by the signal processing and the communications communities such as the spectral efficiency. Furthermore, in a context of mobility and non-stationarity, it is important to be able to implement adaptive processing solutions of low algorithmic complexity to ensure reduced consumption of devices. The objective of this thesis is to address these challenges of multidimensional processing by proposing blind solutions of low computational cost by using the sparsity a priori. Our work revolves around three main axes: sparse principal subspace tracking, adaptive sparse source separation and identification of sparse systems. For each problem, we propose new adaptive solutions by integrating the sparsity information to the classical methods in order to improve their performance. Numerical simulations have been conducted to confirm the superiority of the proposed methods compared to the state of the art
BABINSKI, MARLY. "Idades isocronicas Pb/Pb e geoquimica isotopica de Pb das rochas carbonaticas do grupo Bambui na porcao sul da bacia do Sao Francisco". reponame:Repositório Institucional do IPEN, 1993. http://repositorio.ipen.br:8080/xmlui/handle/123456789/10339.
Pełny tekst źródłaMade available in DSpace on 2014-10-09T14:03:17Z (GMT). No. of bitstreams: 1 05174.pdf: 4868507 bytes, checksum: ef4d7e8312562d1a1e608bf1fd65e9ec (MD5)
Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares, Sao Paulo
Raguet, Hugo. "A Signal Processing Approach to Voltage-Sensitive Dye Optical Imaging". Thesis, Paris 9, 2014. http://www.theses.fr/2014PA090031/document.
Pełny tekst źródłaVoltage-sensitive dye optical imaging is a promising recording modality for the cortical activity, but its practical potential is limited by many artefacts and interferences in the acquisitions. Inspired by existing models in the literature, we propose a generative model of the signal, based on an additive mixtures of components, each one being constrained within an union of linear spaces, determined by its biophysical origin. Motivated by the resulting component separation problem, which is an underdetermined linear inverse problem, we develop: (1) convex, spatially structured regularizations, enforcing in particular sparsity on the solutions; (2) a new rst-order proximal algorithm for minimizing e›ciently the resulting functional; (3) statistical methods for automatic parameters selection, based on Stein’s unbiased risk estimate.We study thosemethods in a general framework, and discuss their potential applications in variouselds of applied mathematics, in particular for large scale inverse problems or regressions. We develop subsequently a soŸware for noisy component separation, in an integrated environment adapted to voltage-sensitive dye optical imaging. Finally, we evaluate this soŸware on dišerent data set, including synthetic and real data, showing encouraging perspectives for the observation of complex cortical dynamics
Patanchon, Guillaume. "Analyse multi-composantes d'observations du fond diffus cosmologique". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2003. http://tel.archives-ouvertes.fr/tel-00004512.
Pełny tekst źródłaEssebbar, Abderrahman. "Séparation paramétrique des ondes en sismique". Phd thesis, Grenoble INPG, 1992. http://tel.archives-ouvertes.fr/tel-00785644.
Pełny tekst źródła