Дисертації з теми "Convolutional transformer"
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Dronzeková, Michaela. "Analýza polygonálních modelů pomocí neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-417253.
Повний текст джерелаDomini, Davide. "Classificazione di Radiografie Toraciche per la Diagnosi del COVID-19 con Reti Convoluzionali e Vision Transformer." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24243/.
Повний текст джерелаRichtarik, Lukáš. "Rozpoznávání ručně psaného textu pomocí hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-433517.
Повний текст джерелаDuhamel, Pierre. "Algorithmes de transformées discrètes rapides pour convolution cyclique et de convolution cyclique pour transformées rapides." Paris 11, 1986. http://www.theses.fr/1986PA112197.
Повний текст джерелаFirst, we present the fast transforms to be considered in the following (Number Theoretic Transforms - NTT -, Fast Fourier Transforms - FFT -, Polynomial Transforms - PT -, Discrete Cosine Transforms - OCT -) in a unified manner. Then, we use the link between NTT and PT to propose a new family of NTT with 2 as a root of unity which includes classical ones (Fermat, Mersenne, etc. . . ), but also includes new ones, which allow transforming longer sequences for a given dynamic range. We also establish a decomposition property of the arithmetic in this family of NTT's. We also propose a set of NTT algorithms with minimum number of shifts. Next, for the computation of FFT's, we introduced the "split-radix" algorithm. Application of this algorithm to complex, real or real-symmetric data requires in each case the smallest known number of operations (multiplications and additions), with a regular structure. We also showed that any improvement of one of these algorithms would also bring a corresponding improvement of the other ones. Furthermore, we showed that their structure is very similar to that of the optimum (minimum number of multiplications) algorithm. The search for minimum multiplication DCT algorithms enabled us to show the equivalence between a 2n DCT and a cyclic convolution. We used this equivalence to propose two new architectures for DCT computation. The first one presents the advantage of needing only one general multiplier per point, but necessitates modulo-arithmetic. The second one, based on distributed arithmetic, has a very simple structure that can be used also for other fast transforms (FFT, e. G. )
Kwok, Yien Chian. "Shah convolution Fourier transform detection." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428105.
Повний текст джерелаWestermark, Pontus. "Wavelets, Scattering transforms and Convolutional neural networks : Tools for image processing." Thesis, Uppsala universitet, Analys och sannolikhetsteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-337570.
Повний текст джерелаHighlander, Tyler. "Efficient Training of Small Kernel Convolutional Neural Networks using Fast Fourier Transform." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1432747175.
Повний текст джерелаMartucci, Stephen A. "Symmetric convolution and the discrete sine and cosine transforms : principles and applications." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/15038.
Повний текст джерелаDušanka, Perišić. "On Integral Transforms and Convolution Equations on the Spaces of Tempered Ultradistributions." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 1992. https://www.cris.uns.ac.rs/record.jsf?recordId=73337&source=NDLTD&language=en.
Повний текст джерелаU ovoj tezi su proučavani prostori temperiranih ultradistribucija Beurlingovog i Roumieovog tipa, koji su prirodna uopštenja prostora Schwarzovih temperiranih distribucija u Denjoy-Carleman-Komatsuovoj teoriji ultradistribucija. Dokazano je ovi prostori imaju sva dobra svojstva, koja ima i Schwarzov prostor, izmedju ostalog, značajno svojstvo da Furijeova transformacija preslikava te prostore neprekidno na same sebe.U prvom poglavlju su uvedene neophodne oznake i pojmovi.U drugom poglavlju su uvedeni prostori ultrabrzo opadajucih ultradiferencijabilnih funkcija i njihovi duali, prostori Beurlingovih i Rumieuovih temperiranih ultradistribucija; proučavana su njihova topološka svojstva i veze sa poznatim prostorima distribucija i ultradistribucija, kao i strukturne osobine; date su i karakterizacije Ermitskih ekspanzija i graničnih reprezentacija elemenata tih prostora.Prostori multiplikatora Beurlingovih i Roumieuovih temperiranih ultradistribucija su okarakterisani u trećem poglavlju.Četvrto poglavlje je posvećeno proučavanju Fourierove, Wignerove, Bargmanove i Hilbertove transformacije na prostorima Beurlingovih i Rouimieovih temperiranih ultradistribucija i njihovim test prostorima.U petoj glavi je dokazana ekvivalentnost klasičnih definicija konvolucije na Beurlingovim prostorima ultradistribucija, kao i ekvivalentnost novouvedenih definicija ultratemperirane konvolucije ultradistribucija Beurlingovog tipa.U poslednjoj glavi je dat potreban i dovoljan uslov da konvolutor prostora temperiranih ultradistribucija bude hipoeliptičan u prostoru integrabilnih ultradistribucija i razmatrane su neke konvolucione jednačine u tom prostoru.Bibliografija ima 70 bibliografskih jedinica.
Marir, F. "The application of number theoretic transforms to two dimensional convolutions and adaptive filtering." Thesis, University of Newcastle Upon Tyne, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374136.
Повний текст джерелаHomeili, Saeid. "Metrological characterisation of Low Power Voltage Transformers by using impulse response analysis." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20998/.
Повний текст джерелаGiulieri, Laurent. "Séparation aveugle de sources basée sur l'utilisation des transformées spatiales quadratiques." Toulon, 2003. http://www.theses.fr/2003TOUL0016.
Повний текст джерелаWe are concerned with the blind source separation for instantaneous mixing problem using quadratic spatial trans-forms. The central problematics and these main works being presented, the tools (joint diagonalization and zero-diagonalization of a set of matrices, quadratic and bilinear transforms with the particular case of the time-frequency representations, extension to the vectorial case with the quadratic spatial transforms) used to developed methods are detailed. The study of quadratic spatial transform of mixed sources, in the noiseless case, represents the original work of this document. It leads to the design of the two automatic selection criteria of time-frequency points allowing to the elaboration of the set of matrices having to be joint diagonalized and/or joint zero-diagonalized. The first criterion is intended for the uncorrelated deterministic sources mixing, previously whitened, where the mixing could be complex. The second criterion, more general, is intended for the correlated deterministic sources mixing. The whitening step is removed and the joint diagonalization techniques are replaced by a technic without constraint, limiting the separation performances. We show that it is possible to solve the problem by an analytical way. Finally, the noise effect on quadratic spatial time-frequency representation is studied in order to design new decision strategies for the adaptation of the automatic selection criteria to the noisy case
Proença, Maria da Conceiçao Machado Sangreman. "La transformée en ondelettes appliquée au traitement d'images de télédétection." Toulouse 3, 1992. http://www.theses.fr/1992TOU30260.
Повний текст джерелаPavel, Dimovski. "Translation invariant Banach spaces of distributions and boundary values of integral transform." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=93767&source=NDLTD&language=en.
Повний текст джерелаKoristimo oznaku ∗ za distribuciono (Svarcovo), (Mp) (Berlingovo) i {Mp} (Roumieuovo) okruženje. Uvodimo i prouavamo nove (ultra)distribucione prostore, test funkcijske prostore D∗E i njihove duale D'∗E'*. Ovi prostori uopštavaju prostore D∗Lq , D'∗Lp , B'∗ i njihove težinske verzije. Konstrukcija naših novih (ultra)distribucionih prostora je zasnovana na analizi odgovarajuićh translaciono - invarijantnih Banahovih prostora (ultra)distribucija koje označavamo sa E. Ovi prostori imaju neprekidnu grupu translacija, koja je konvolucioni modul nad Beurlingovom algebrom L1ω, gde je težina ω povezana sa operatorima translacije prostora E. Banahov prostor E'∗ označava prostor L1ω˅ ∗ E'. Koristeći dobijene rezultata proučavamo konvoluciju ultradistribucija. Prostori konvolutora O'∗C (Rn) temperiranih ultradistribucija, analizirani su pomoću dualnosti test funkcijskih prostora O∗C (Rn), definisanih u ovoj tezi. Koristeći svojstva translaciono - invarijantnih Banahovih prostora temperiranih ultradistribucija, opet označenih sa E, dobijamo karakterizaciju konvolucije Romuieu-ovih ultradistribucija, preko integrabilnih ultradistribucija. Dokazujemo da: konvolucija dve Roumieu-ove ultradistribucija T, S ∈ D'{Mp} (Rn) postoji ako i samo ako (φ ∗ Sˇ)T ∈ D'{Mp} L1 (Rn) za svaki φ ∈ D{Mp}(Rn). Takođe, proučavamo granične vrednosti holomorfnih funkcija definisanih na tubama. Dokazane su nove teoreme ”otrog klina”. Rezultati se zatim koriste za prezentaciju D'E'∗ preko faktor prostora holomorfnih funkcija. Takođe, data je prezentacija elemente D'E'∗ koristeći heat kernel metode.
Sazish, Abdul Naser. "Efficient architectures and power modelling of multiresolution analysis algorithms on FPGA." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/6290.
Повний текст джерелаGabriel, Eric [Verfasser]. "Automatic Multi-Scale and Multi-Object Pedestrian and Car Detection in Digital Images Based on the Discriminative Generalized Hough Transform and Deep Convolutional Neural Networks / Eric Gabriel." Kiel : Universitätsbibliothek Kiel, 2019. http://d-nb.info/1187732826/34.
Повний текст джерелаHammarqvist, Ulf. "Audio editing in the time-frequency domain using the Gabor Wavelet Transform." Thesis, Uppsala universitet, Centrum för bildanalys, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-153634.
Повний текст джерелаLe, Van Linh. "Automatic landmarking for 2D biological images : image processing with and without deep learning methods." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0238.
Повний текст джерелаLandmarks are presented in the applications of different domains such as biomedical or biological. It is also one of the data types which have been usedin different analysis, for example, they are not only used for measuring the form of the object, but also for determining the similarity between two objects. In biology, landmarks are used to analyze the inter-organisms variations, however the supply of landmarks is very heavy and most often they are provided manually. In recent years, several methods have been proposed to automatically predict landmarks, but it is existing the hardness because these methods focused on the specific data. This thesis focuses on automatic determination of landmarks on biological images, more specifically on two-dimensional images of beetles. In our research, we have collaborated with biologists to build a dataset including the images of 293 beetles. For each beetle in this dataset, 5 images correspond to 5 parts have been taken into account, e.g., head, body, pronotum, left and right mandible. Along with each image, a set of landmarks has been manually proposed by biologists. First step, we have brought a method whichwas applied on fly wings, to apply on our dataset with the aim to test the suitability of image processing techniques on our problem. Secondly, we have developed a method consisting of several stages to automatically provide the landmarks on the images.These two first steps have been done on the mandible images which are considered as obvious to use the image processing methods. Thirdly, we have continued to consider other complex remaining parts of beetles. Accordingly, we have used the help of Deep Learning. We have designed a new model of Convolutional Neural Network, named EB-Net, to predict the landmarks on remaining images. In addition, we have proposed a new procedure to augment the number of images in our dataset, which is seen as our limitation to apply deep learning. Finally, to improve the quality of predicted coordinates, we have employed Transfer Learning, another technique of Deep Learning. In order to do that, we trained EB-Net on a public facial keypoints. Then, they were transferred to fine-tuning on beetle’s images. The obtained results have been discussed with biologists, and they have confirmed that the quality of predicted landmarks is statistically good enough to replace the manual landmarks for most of the different morphometry analysis
Bertani, Federico. "Deep Learning methods for Portfolio Optimization." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24245/.
Повний текст джерелаJatobá, Ariosvaldo Marques. "Tipos de holomorfia em espaços de Banach." [s.n.], 2008. http://repositorio.unicamp.br/jspui/handle/REPOSIP/307327.
Повний текст джерелаTese (doutorado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica
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Resumo: Neste trabalho introduzimos e estudamos os espaços das funções inteiras ?-holomorfas de tipo limitado. Em particular obtemos resultados de dualidade via a transformada de Borel e provamos resultados de existência e aproximação para equações de convolução. Os resultados provados generalizam resultados anteriores deste tipo devido a C. Gupta [21], M. Matos [28] e X. Mujica [32]. Nós estudamos as relações entre o espaço Hb(E; F) das funções inteiras de tipo limitado, o espaço HNb(E; F) das funções inteiras nucleares de tipo limitado, o espaço HPIb(E; F) das funções inteiras Pietsch-integrais de tipo limitado, e o espaço HGIb (E; F) das funções inteiras Grothendieck-integrais de tipo limitado. Estendemos para o caso de funções inteiras resultados de R. Alencar [2] e R. Cilia e J. Gutierrez [10] no caso de polinômios homogêneos.
Abstract: In this work we introduce and study functions of ?-holomorphy type of bounded type. In particular we obtain a duality result via the Borel transform and we prove existence and approximation results for convolution equations. The results we prove generalize previous results of this type due to C. Gupta [21], M. Matos [28] and X. Mujica [32]. We study the relationships among the space Hb(E; F) of entire mappings of bounded type, the space HNb(E; F) of entire mappings of nuclear bounded type, the space HPIb(E; F) of entire mappings of Pietsch integral bounded type, and the space HGIb(E; F) of entire mappings of Grothendieck integral bounded type. We extend to the case of entire mappings several results due to R. Alencar [2] and R. Cilia and J. Gutiérrez [10] in the case of homogeneous polynomials.
Doutorado
Analise Funcional
Doutor em Matemática
Kloeckner, Jonas. "Tabela de covariância : um mapeamento rápido e automático de continuidade espacial." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/184705.
Повний текст джерелаCovariance models are essential geostatistical tools to map spatial continuity. The current approach pursues a licit spatial continuity model with minimum or even no user interference. Aligned with this modern view we propose to obtain a covariance table that aims at replacing in practice traditional covariance explicit defined model. This covariance table is obtained through a three steps work flow: interpolating the dataset to fill up a regular grid, auto convolute via Fast Fourier Transform algorithm and back transform to spacial domain. The base model to extract covariance represents the turning point comparing with previous methods that proposed covariance table usage. The results are satisfactory, both in the statistical validation of the method and in the speed of obtaining a spatial continuity analysis. A three dimensional case study illustrates the practical application for kriging and geostatistical simulation in comparison with traditional spatial modeling.
Nassar, Alaa S. N. "A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/16917.
Повний текст джерелаHigher Committee for Education Development in Iraq
Puigt, Matthieu. "Méthodes de séparation aveugle de sources fondées sur des transformées temps-fréquence : application à des signaux de parole." Toulouse 3, 2007. http://thesesups.ups-tlse.fr/217/.
Повний текст джерелаSeveral time-frequency (TF) blind source separation (BSS) methods have been proposed in this thesis. In the systems output that have been used, a contribution of each source is estimated, using only mixed signals. All the methods proposed in this manuscript find tiny TF zones where only one source is active and estimate the mixing parameters in these zones. These approaches are particularly well suited for non-stationary sources (speech, music). We first studied and improved linear instantaneous methods based on variance or correlation criteria, that have been previously proposed by our team. They yield excellent performance for signals of speech and can also separate spectra from astrophysical data. However, the nature of the mixtures that they can process limits their application fields. We have extended these approaches to more realistic mixtures. The first extensions consider attenuated and delayed mixtures of sources, which corresponds to mixtures in anechoic chamber. They require less restrictive sparsity assumptions than some approaches previously proposed in the literature, while addressing the same type of mixtures. We have studied the contribution of clustering techniques to our approaches and have achieved good performance for mixtures of speech signals. Lastly, a theoretical extension of these methods to general convolutive mixtures is described. It needs strong sparsity hypotheses and we have to solve classical indeterminacies of frequency-domain BSS methods
Herrmann, Felix J. "Surface related multiple prediction from incomplete data." European Association of Geoscientists & Engineers, 2007. http://hdl.handle.net/2429/551.
Повний текст джерелаRajbhandari, Samyam. "Locality Optimizations for Regular and Irregular Applications." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469033289.
Повний текст джерелаBenaych-Georges, Florent. "Matrices aléatoires et probabilités libres." Paris 6, 2005. http://www.theses.fr/2005PA066566.
Повний текст джерелаDall'Olio, Lorenzo. "Estimation of biological vascular ageing via photoplethysmography: a comparison between statistical learning and deep learning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21687/.
Повний текст джерелаMoravec, Zbyněk. "Kontrola zobrazení textu ve formulářích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363844.
Повний текст джерелаKaalen, Stefan. "Semi-Markov processes for calculating the safety of autonomous vehicles." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252331.
Повний текст джерелаFlertalet tillverkare av vägfordon jobbar idag på att utveckla autonoma fordon. Ett ämne ofta på agendan i diskussionen om att integrera autonoma fordon på vägarna är säkerhet. Det finns i sammanhanget ingen klar bild över hur säkerhet ska kvantifieras. Som ett bidrag till denna diskussion föreslås här att beskriva varje potentiellt farlig situation av ett fordon som en Semi-Markov process (SMP). En metod presenteras för att via beräkning av funktionssäkerheten nyttja semi-Markov representationen för att beräkna sannolikheten för att en farlig situation ska uppstå. Metoden nyttjar Laplace-Stieltjes transformen för att förenkla uttrycket för funktionssäkerheten och beräknar transformen av funktionssäkerheten exakt. Numeriska algoritmer för den inversa transformen appliceras sedan för att beräkna funktionssäkerheten upp till en viss feltolerans. Metoden valideras genom alternativa tekniker och appliceras sedan på ett system för autonom styrning baserat på ett riktigt exempel från industrin. En fördelaktig utveckling av metoden som presenteras här skulle vara att involvera ett ramverk för hur varje potentiellt farlig situation ska representeras som en SMP.
Limouzineau, Maÿlis. "Constructions de sous-variétés legendriennes dans les espaces de jets d'ordre un de fonctions et fonctions génératrices." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066676/document.
Повний текст джерелаThis thesis concerns two types of fundamental objects of the contact topology : Legendrian submanifolds in 1-jet spaces of functions de fined on a manifold M, denoted by J1(M;R), and the closed related notion of generating functions. We study "operations" that build (generically) new Legendrian submanifolds from old ones. In particular, we de fined the operations sum and convolution of Legendrian submanifolds, which are linked by a form of the Legendre transform. We show how the operations are well re flected in terms of generating functions. It offers a second point of view and leads us to wonder the effect of our operations on the selector, which is a classical notion of symplectic geometry, and we adapt its construction to this context. Finally, we focus on the three dimensional space J1(R;R) and Legendrian knots which admit a (global) generating function. It is a strong condition for Legendrian submanifolds, and we choose to examine it by proposing several explicit constructions. We conclude by studying the notions of Legendrian cobordism which are naturally related. The operation sum mentioned before finds there a central role
Farias, Filho Antonio Pereira de. "A Transformada Discreta de Fourier no círculo finito ℤ/nℤ". Universidade Federal da Paraíba, 2016. http://tede.biblioteca.ufpb.br:8080/handle/tede/9429.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
We will do here a theoretical study of the Discrete Fourier Transform on the finite circle ℤ/nℤ. Our main objective is to see if we can get properties analogous to those found in the Fourier transform for the continuous case. In this work we show that ℤ/nℤ has a ring structure, providing conditions for the development of extensively discussed topics in arithmetic, for example, The Chinese Remainder Theorem, Euler’s Phi Function and primitive roots, themes these to be dealt with in first chapter. The main subject of this study is developed in the second chapter, which define the space L2(ℤ/nℤ) and prove that this is a finite-dimensional inner product vector space, with an orthonormal basis. This fact is of utmost importance when we are determining the matrix and demonstrating the properties of the discrete Fourier transform. We will also make geometric interpretations of the Chinese Remainder Theorem and the finite circle ℤ/nℤ as well as give a graphical representation of the DFT of some functions that calculate. During the development of this study we will make recurrent use of definitions and results treated in Arithmetic, Algebra and Linear Algebra.
Faremos, aqui, um estudo teórico sobre a Transformada Discreta de Fourier no círculo finito ℤ/nℤ. Nosso principal objetivo é verificar se podemos obter propriedades análogas às encontradas nas transformadas de Fourier para o caso contínuo. Nesse trabalho mostraremos que ℤ/nℤ tem uma estrutura de anel, dando condições para o desenvolvimento de temas bastante discutidos na Aritmética como, por exemplo, o Teorema Chinês do Resto, função Phi de Euler e raízes primitivas, temas estes que serão tratados no primeiro capítulo. O assunto principal desse estudo é desenvolvido no segundo capítulo, onde definiremos o espaço L2(ℤ/nℤ) e provaremos que este é um espaço vetorial com produto interno, dimensão finita e uma base ortonormal. Tal fato será de extrema importância quando estivermos determinando a matriz e demonstrando as propriedades da transformada discreta de Fourier. Também faremos interpretações geométricas do Teorema Chinês do Resto e do círculo finito ℤ/nℤ assim como daremos a representação gráfica da DFT de algumas funções que calcularemos. Durante o desenvolvimento desse estudo faremos uso recorrente de definições e resultados tratados na Aritmética, Álgebra e Álgebra Linear.
Talavašek, Kamil. "Srovnání implementací diskrétní waveletové transformace v Javě a C/C++." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217186.
Повний текст джерелаPapoutsellis, Evangelos. "First-order gradient regularisation methods for image restoration : reconstruction of tomographic images with thin structures and denoising piecewise affine images." Thesis, University of Cambridge, 2016. https://www.repository.cam.ac.uk/handle/1810/256216.
Повний текст джерелаErdogan, Ahmet Yasin. "Analysis of the effects of phase noise and frequency offset in orthogonal frequency division multiplexing (OFDM) systems." Thesis, Monterey California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1712.
Повний текст джерелаOrthogonal frequency division multiplexing (OFDM) is being successfully used in numerous applications. It was chosen for IEEE 802.11a wireless local area network (WLAN) standard, and it is being considered for the fourthgeneration mobile communication systems. Along with its many attractive features, OFDM has some principal drawbacks. Sensitivity to frequency errors is the most dominant of these drawbacks. In this thesis, the frequency offset and phase noise effects on OFDM based communication systems are investigated under a variety of channel conditions covering both indoor and outdoor environments. The simulation performance results of the OFDM system for these channels are presented.
Lieutenant Junior Grade, Turkish Navy
Kopečný, Josef. "Návrh nové metody pro stereovidění." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235903.
Повний текст джерелаMálková, Eliška. "Monitorování pohybu více objektů užitím křížové korelace." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400456.
Повний текст джерелаKornfeil, Vojtěch. "Soubor úloh pro kurs Sběr, analýza a zpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217707.
Повний текст джерелаTankam, Patrice. "Méthodes d'holographie numérique couleur pour la métrologie sans contact en acoustique et mécanique." Phd thesis, Université du Maine, 2010. http://tel.archives-ouvertes.fr/tel-00647931.
Повний текст джерелаHanzálek, Pavel. "Praktické ukázky zpracování signálů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400849.
Повний текст джерелаBodnarova, Adriana. "Texture analysis for automatic visual inspection and flaw detection in textiles." Thesis, Queensland University of Technology, 2000.
Знайти повний текст джерелаKato, Fernando Hideki. "Análise de carteiras em tempo discreto." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/12/12139/tde-24022005-005812/.
Повний текст джерелаIn this thesis, Markowitzs portfolio selection model will be extended by means of a discrete time analysis and more realistic hypotheses. A finite tensor product of Erlang densities will be used to approximate the multivariate probability density function of the single-period discrete returns of dependent assets. The Erlang is a particular case of the Gamma distribution. A finite mixture can generate multimodal asymmetric densities and the tensor product generalizes this concept to higher dimensions. Assuming that the multivariate density was independent and identically distributed (i.i.d.) in the past, the approximation can be calibrated with historical data using the maximum likelihood criterion. This is a large-scale optimization problem, but with a special structure. Assuming that this multivariate density will be i.i.d. in the future, then the density of the discrete returns of a portfolio of assets with nonnegative weights will be a finite mixture of Erlang densities. The risk will be calculated with the Downside Risk measure, which is convex for certain parameters, is not based on quantiles, does not cause risk underestimation and makes the single and multiperiod optimization problems convex. The discrete return is a multiplicative random variable along the time. The multiperiod distribution of the discrete returns of a sequence of T portfolios will be a finite mixture of Meijer G distributions. After a change of the distribution to the average compound, it is possible to calculate the risk and the return, which will lead to the multiperiod efficient frontier, where each point represents one or more ordered sequences of T portfolios. The portfolios of each sequence must be calculated from the future to the present, keeping the expected return at the desired level, which can be a function of time. A dynamic asset allocation strategy is to redo the calculations at each period, using new available information. If the time horizon tends to infinite, then the efficient frontier, in the average compound probability measure, will tend to only one point, given by the Kellys portfolio, whatever the risk measure is. To select one among several portfolio optimization models, it is necessary to compare their relative performances. The efficient frontier of each model must be plotted in its respective graph. As the weights of the assets of the portfolios on these curves are known, it is possible to plot all curves in the same graph. For a given expected return, the efficient portfolios of the models can be calculated, and the realized returns and their differences along a backtest can be compared.
Lin, Chin-Tung, and 林鑫彤. "InverseMV: Composing Piano Scores with a Convolutional Video-Music Transformer." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/y27qbg.
Повний текст джерела國立政治大學
資訊科學系
107
With the wide popularity of social media including Facebook, Twitter, Instagram, YouTube, etc. and the modernization of mobile photography, users on social media tend to watch and send videos rather than text. People want their video with a high click-through rate. However, such video requires great editing skill and perfect matching music, which are very difficult for common people. On top of that, people creating soundtrack suffer from the lack of ownership of musical pieces. The music generated from a model instead of existing music conduces to preventing from breaching copyright. The rise of deep learning brought out much work using a model based on the neural network to generate symbolic music. However, to the best of our knowledge, there is no work trying to compose music for video and no dataset with paired video and music. Therefore, we release a new dataset composed of over 7 hours of piano scores with fine alignment between pop music videos and midi files. We propose a model VMT(Video-Music Transformer) that generates piano scores from video frames, and then evaluate our model with seq2seq and obtain better music smooth and relevance of video.
JIN, YI-MING, and 金益明. "Convolution-based algorithms for discrete sinusoidal transforms." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/00412644879232058537.
Повний текст джерелаLin, Tzu-Chia, and 林子嘉. "Automated Arrhythmia Detection using Hilbert-Huang Transform Based Convolutional Neural Network." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/7zyxue.
Повний текст джерела國立中央大學
資訊工程學系
107
In this thesis, a novel approach to arrhythmia-based signal classification is introduced. The objective is to properly identify three classes of patients exhibiting normal sinus rhythm, atrial fibrillation, and other rhythm. The proposed method apply Hilbert-Huang transform on raw signal to generate noise-free reconstruction of the original containing temporal variations as input for classification mechanism to learn representative features. The features are directly learned by a computer vision technique known as Convolutional Neural Network, thus replacing traditional methods of relying on experts to handcraft features. To summarize, this thesis contains two major processes: utilize a nonlinear and non-stationary signal processing technique to produce input, and to feed reconstructed signal containing representative features to CNN for multi-classification task. The experimental results indicate the effectiveness of this method, removing the need of human involvement in the process of feature selection. Through analyses and stimulations, the effectiveness of the proposed ECG-classification method is evaluated.
Chiao-Yuan, Jeng, and 鄭朝元. "Multidimension Generalized Discrete Hartley Transform and related convolution." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/88133818661332311284.
Повний текст джерелаHlawitschka, Mario, Julia Ebling, and Gerik Scheuermann. "Convolution and Fourier Transform of Second Order Tensor Fields." 2004. https://ul.qucosa.de/id/qucosa%3A32974.
Повний текст джерела杜維洲. "Novel Convolution-Based computations of the discrete cosine transform." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/63817327093807243898.
Повний текст джерелаChen, Yen-Feng, and 陳彥灃. "Facial Gender Classification based on Convolutional Neural Networks Cascaded with Discrete Wavelet Transform." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/05937291010012756825.
Повний текст джерела國立暨南國際大學
電機工程學系
105
Facial gender classification based on deep convolutional neural networks (DCNNs) cascaded with discrete wavelet transform (DWT) is a work in biometrics by means of the deep learning (DL) architecture. The applied DL architecture is convolutional neural networks (CNNs) which is appropriate to image processing. Biometrics is a subject of pattern recognition while deep learning is a novel machine learning architecture, which is considered the most powerful classifier among the state-of-the-art. The architecture of this work is that three specified channels of CNNs connected in parallel are cascaded with three frequency bands of DWT, respectively. The DWT process extracts critical features from input faces by which the number of kernel of the CNNs can be reduced. This will reduce the training time and the impact of random. Adience 3D dataset is applied as the benchmark.
Keating, Geoffrey. "Fast fourier transforms and the Fujitsu VPP300." Phd thesis, 2000. http://hdl.handle.net/1885/147291.
Повний текст джерела呂芳發. "Two dimension generalized discrete hartley transforms fast algorithm and related convolutions." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/15945666499828844959.
Повний текст джерела