Rozprawy doktorskie na temat „Signal detection”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych rozpraw doktorskich naukowych na temat „Signal detection”.
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.
Park, Subok. "Signal detection with random backgrounds and random signals". Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280729.
Pełny tekst źródłaLie, Celia, i n/a. "Punishment and human signal detection". University of Otago. Department of Psychology, 2007. http://adt.otago.ac.nz./public/adt-NZDU20071004.134135.
Pełny tekst źródłaHuang, Wensheng. "Wavelet Transform Adaptive Signal Detection". NCSU, 1999. http://www.lib.ncsu.edu/theses/available/etd-19991104-151423.
Pełny tekst źródłaWavelet Transform Adaptive Signal Detection is a signal detection method that uses the Wavelet Transform Adaptive Filter (WTAF). The WTAF is the application of adaptive filtering on the subband signals obtained by wavelet decomposition and reconstruction. The WTAF is an adaptive filtering technique that leads to good convergence and low computational complexity. It can effectively adapt to non-stationary signals, and thus could find practical use for transient signals. Different architectures for implementing the WTAF were proposed and studied in this dissertation. In terms of the type of the wavelet transform being used, we presented the DWT based WTAF and the wavelet tree based WTAF. In terms of the position of the adaptive filter in the signal paths of the system, we presented the Before-Reconstruction WTAF, in which the adaptive filter is placed before the reconstruction filter; and the After-Reconstruction WTAF, in which the adaptive filter is placed after the reconstruction filter. This could also be considered as implementing the adaptive filtering in different domains, with the Before-Reconstruction structure corresponding to adaptive filtering in the scale-domain, and the After-Reconstruction structure corresponding to adaptive filtering in the time-domain. In terms of the type of the error signal used in the WTAF, we presented the output error based WTAF and the subband error based WTAF. In the output error based WTAF, the output error signal is used as input to the LMS algorithm. In the subband error based WTAF, the error signal in each subband is used as input to the LMS algorithm. The algorithms for the WTAF were also generalized in this work. In order to speed up the calculation, we developed the block LMS based WTAF, which modifies the weights of the adaptive filter block-by-block instead of sample-by-sample. Experimental studies were performed to study the performance of different implementation schemes for the WTAF. Simulations were performed on different WTAF algorithms with a sinusoidal input and with a pulse input. The speed and stability properties of each structure were studied experimentally and theoretically. It was found that different WTAF structures had different tradeoffs in terms of stability, performance, computational complexity, and convergence speed. The WTAF algorithms were applied to an online measurement system for fabric compressional behavior and they showed encouraging results. A 3-stage DWT based WTAF and a block WTAF based on a 3-stage DWT was employed to process the noisy force-displacement signal acquired from the online measurement system. The signal-to-noise ratio was greatly increased by applying these WTAFs, which makes a lower sampling rate a possibility. The reduction of the required time for data sampling and processing greatly improves the system speed to meet faster testing requirements. The WTAF algorithm could also be used in other applications requiring fast processing, such as in the real-time applications in communications, measurement, and control.
Krause, Michael. "Signal Detection for Overloaded Receivers". Thesis, University of Canterbury. Department of Electrical and Computer Engineering, 2009. http://hdl.handle.net/10092/2959.
Pełny tekst źródłaArslanian, A. S. "Spectral techniques for signal detection". Thesis, University of Strathclyde, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372465.
Pełny tekst źródłaShikhaliev, Azer P. "Techniques for Adaptive Signal Detection". The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1610123085674943.
Pełny tekst źródłaGallas, Brandon Dominic. "Signal detection in lumpy backgrounds". Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290090.
Pełny tekst źródłaZhang, Hongbin. "Signal detection in medical imaging". Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290512.
Pełny tekst źródłaMabrouk, Mohamed Hussein Emam Mabrouk. "Signal Processing of UWB Radar Signals for Human Detection Behind Walls". Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/31945.
Pełny tekst źródłaPike, Cameron M. "Multipath signal detection using the bispectrum". Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183467926.
Pełny tekst źródłaHoppe, Elizabeth A. "Improving Signal Clarity through Interference Suppression and Emergent Signal Detection". Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/39325.
Pełny tekst źródłaPh. D.
Li, Tao. "Signal detection in unknown interference channels /". View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?ECED%202006%20LI.
Pełny tekst źródłaLehtomäki, J. (Janne). "Analysis of energy based signal detection". Doctoral thesis, University of Oulu, 2005. http://urn.fi/urn:isbn:9514279255.
Pełny tekst źródłaChen, Hao. "Noise enhanced signal detection and estimation". Related electronic resource:, 2007. http://proquest.umi.com/pqdweb?did=1342743841&sid=2&Fmt=2&clientId=3739&RQT=309&VName=PQD.
Pełny tekst źródłaAdams, Mark D. "Signal detection optimization for underwater acoustics". Master's thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-02022010-020009/.
Pełny tekst źródłaORTEGA, ALVARO JAVIER. "SIGNAL DETECTION IN MASSIVE MIMO SYSTEMS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26176@1.
Pełny tekst źródłaCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO
Este trabalho de dissertação de mestrado apresenta uma comparação de algumas das técnicas de detecção de sinais mais promissoras para a viabilização de sistemas MIMO de grande porte em termos de desempenho, taxa de erro de bit e complexidade, número médio de flops requeridos por vetor de símbolos recebido. Com este objetivo foram também consideradas as técnicas de detecção clássicas, visando assim ressaltar o desempenho das novas técnicas com relação as antigas. Além disso foram propostas e investigadas novas estruturas para detectores SIC baseados em lista (i.e., com múltiplos ramos) que resultaram em melhor desempenho com menor complexidade quando comparados aos detectores deste tipo já propostos. Na comparação dos algoritmos, foram considerados três cenários diferentes: (i ) monousuário, com ganhos de canal gaussianos complexos independentes e identicamente distribuídos, ou seja, uma propagação que só considera a presença de desvanecimento de Rayleigh; (ii ) múltiplos usuários com canais correlatados e que considera as perdas de propagação de pequena e larga escala num sistema com antena centralizada; e (iii ) múltiplos usuários com canais correlatados e que considera as perdas de propagação de pequena e larga escala num sistema com antena distribuída.
This work dissertation presents a comparison of some of the signal detection techniques most promising for the viability of large MIMO systems in terms of performance, bit error rate, and complexity, average number of flops required by transmitted symbol vector. For this purpose it was also considered classical detection techniques, thus aiming to highlight the performance of new techniques with respect the old. Also it has been proposed and investigated new structures to SIC detectors based on list (i.e., with multiple branches) resulting in better performance with less complexity compared to detectors of this kind already proposed. In the comparison of algorithms, three different scenarios were used: (i ) single user, with channel gains independent and distributed identically complex Gaussian, that is, a spread that only considers the presence of Rayleigh fading; (ii ) multiple users, with correlated channels, and considers the short and large scale path loss in a system with centralized antenna; e (iii ) multiple users, with correlated channels, and considers the short and large scale path loss in a system with distributed antenna.
Crane, Nicola. "Debiasing reasoning : a signal detection analysis". Thesis, Lancaster University, 2016. http://eprints.lancs.ac.uk/82265/.
Pełny tekst źródłaSexton, G. "Ground probing radar signal processing techniques". Thesis, University of Newcastle Upon Tyne, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354404.
Pełny tekst źródłaQu, Yang. "Mixed Signal Detection, Estimation, and Modulation Classification". Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1576615989584971.
Pełny tekst źródłaIcaza, Astiz Yannik Alan de. "Optimal signal recovery for pulsed balanced detection". Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/285635.
Pełny tekst źródłaMedir las características cuánticas en un mundo clásico no solo requiere llevar al límite la tecnología clásica, sino también, inventar y descubrir nuevos esquemas para utilizar los dispositivos clásicos, reduciendo y filtrando las fuentes de ruido. Los detectores balanceados, cuando miden un láser de bajo ruido, se han convertido en una herramienta excepcional para alcanzar el nivel del ruido de disparo, que es el límite estándar clásico para medir la luz. Detectar pulsos de luz al nivel de ruido de disparo requiere reducir y filtrar todas las otras fuentes de ruido, es decir, el ruido electrónico y el técnico. El objetivo de este trabajo es crear una nueva herramienta para filtrar ruido tanto técnico como electrónico de pulsos de luz, que es especialmente relevante para los métodos de procesamiento de señales en los experimentos de óptica cuántica, como una manera de alcanzar el nivel de ruido de disparo y reducir fuertemente el ruido técnico por medio una función patrón. Presentamos, por lo tanto, el modelo teórico para el filtrado por una función patrón. Primeramente damos el modelo teórico de un detector balanceado, luego exponemos cómo se recupera la señal de la salida del detector balanceado. A continuación proponemos un modelo para las fuentes de ruido y las condiciones que debe satisfacer el algoritmo de filtrado. Finalmente, se resuelve el problema y se obtiene la función patrón que nos permite filtrar los ruidos técnico y electrónico. Una vez que la función patrón se puede calcular, diseñamos un montaje experimental para probar y demostrar esta técnica basada en un modelo. Para tal propósito, producimos pulsos de luz usando moduladores acusto-ópticos que producen pulsos de luz que están precisamente caracterizados, junto con el sistema de detección. Los datos se analizan a continuación con un osciloscopio, reuniendo todos los datos en el dominio del tiempo. La representación del dominio de la frecuencia se calcula utilizando funciones matemáticas. De esta manera, se prueba que nuestro detector está limitado por el ruido de disparo para luz continua. Después, se muestra cómo se produce el ruido técnico de manera controlada, y cómo se reúne la información necesaria para calcular la función patrón. Finalmente, se muestra la detección limitada por el ruido de disparo para pulsos sin ruido técnico introducido primero, y luego, se hace una demostración experimental con 10 dB de ruido técnico, que se filtra a continuación usando la función patrón. La parte final de esta investigación está enfocada a la recuperación óptima de la señal para polarimetría pulsada. Recordamos los parámetros de Stokes y cómo estimar el estado de polarización de una señal. Luego, introducimos el filtro de Wiener, que es una técnica ampliamente usada en el procesamiento de señales. Para el paso final, mostramos cómo se recupera, bajo las mejores condiciones, el ángulo de rotación de polarización con una señal que tiene 10 dB de ruido técnico. Obteniendo el límite estándar cuántico para la estimación fase/ángulo y superando así el estimador de Wiener. Debido a la correlación entre polarimetría pulsada y la estimación magnética usando conjuntos atómicos magnéticos vía el efecto de Faraday, esta técnica de filtraje de función patrón puede ser fácilmente usada para sondear conjuntos atómico-magnéticos en ambientes con fuerte ruido técnico.
Wooler, John Peter Fairfax. "Fibre Optic Sensors for Dynamic Signal Detection". Thesis, Durham University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486827.
Pełny tekst źródłaJordan, Pamela Ann. "Optical tweezers for signal detection and micromanipulation". Thesis, University of Glasgow, 2005. http://theses.gla.ac.uk/1728/.
Pełny tekst źródłaBRAZ, JOAO ALFREDO CAL. "SIGNAL DETECTION IN SPATIAL MODULATION MULTIANTENNA SYSTEMS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26134@1.
Pełny tekst źródłaCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Modulação Espacial é um método de transmissão por múltiplas antenas recentemente proposto,designado por MIMO-SIM, que associa informação à escola das antenas transmissoras. Isto possibilita a redução do número de cadeias de radiofrequência e, consequentemente, a imimplementação de sistemas de comunicação que consomem menos energia. O novo esquema de comunicação dos sistemas MIMO-SIM exige que, do lado redeptor, novas e eficientes estratégias de detecção do sinal transmitido sejam elaborados. O detector de máxima verossimilhança (ML), que fornece o desempenho ótimo, é de inviável implementação devido ao elevado custo computacional. Os detectores Sphere Decoding (SD) são comumente aplicados aos sistemas MIMO e atingem o desempenho ótimo a menor custo de computação. Um algoritmo SD que considera as caractéristicas do sinal SM foi desenvolvido, resultando em redução de custo computacional em relação ao detector ML e aos algoritmos SD convencionais. A elevada sensibilidade da complexidade dos algoritmos SD à variação da relação sinal-ruído (SNR) motivou o desenvolvimento de técnicas de detencção subótimas. Estratégias baseadas em detecção em grupos foram propostas, e os algoritmos de detecção aninhada MLA-M e MLA-C tiveram sua complexidade e desempenho avaliados em diferetes configurações e cenários de canal. Uma nova família de detectores, que realiza a detecção da combinação de antenas transmissoras e dos símbolos transmitidos em fases distintas, foi proposto, eo algoritmo List-BMP-LR-MMSE atingiu desempenho de detecção quase ótimo com baixo custo computacional, menos sensível à variação de SNR. Baseado na estratégia de detecção em duas fases, um novo detector de baixo custo foi desenvolvido para sistemas SM com codificação espácio-temporal.
Spatial Modulation is a recently proposed multiantenna transmission scheme, designated as SM-MIMO, that associates information to the transmit antenna selection, thus enabling the reduction of the number of radiofrequency chains and , consequently, the implementation of less power consuming communication systems. The novel SM-MIMO communication scheme requires, at the receiver side, the development of new and efficient signal detection strategies of the optimal performance, is infeasible to implement due to the high computational cost. Sphere Decoding detectors (SD) are customarily applied to MIMO systems and attain optimal performance with lower computational cost.An SD algorithm, tailored following SM signal characteristics was deloped, resulting in computational cost reduction compared to ML detector and conventional MIMO SD algorithms. The hogh computational sensitivity of SD algorithms to the signal-to-noise ratio (SNR) variation motivated the development of subboptimal detection techniques. Strategies based in group detection were propsed, and nested detection algorithms LA-M and MLA-C had their complexity and performance evaluated in different configurations and channel scenarios. A new family of detectors, that performs the detection of the transmit antenna combinations and the transmitted symbols in two distinct stages,was proposed, and List-BMP-LR-MMSE algorithm attained near -optimal detection performace with low computational complexity, less sensitive to SNR variation. Based on the two-stage detection strategy, a new low-complexity detector was developed to space-time coded SM systems.
Lui, Feng. "Spread Spectrum Signal Detection from Compressive Measurements". International Foundation for Telemetering, 2013. http://hdl.handle.net/10150/579660.
Pełny tekst źródłaSpread Spectrum (SS) techniques are methods used to deliberately spread the spectrum of transmitted signals in communication systems. The increased bandwidth makes detection of these signals challenging for non-cooperative receivers. In this paper, we investigate detection of Frequency Hopping Spread Spectrum (FHSS) signals from compressive measurements. The theoretical and simulated performances of the proposed methods are compared to those of the conventional methods.
Siciliani, Francesco. "Development of a Vehicle Stability Detection Signal". Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-73718.
Pełny tekst źródłaKhani, Shirkoohi Mehrdad. "Adaptive Neural Signal Detection for Massive MIMO". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122549.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (pages 55-58).
Massive Multiple-Input Multiple-Output (MIMO) is a key enabler for fifth generation (5G) cellular communication systems. Massive MIMO gives rise to challenging signal detection problems for which traditional detectors are either impractical or suffer from performance limitations. Recent work has proposed several learning approaches to MIMO detection with promising results on simple channel models (e.g., i.i.d. Gaussian entries). However, we find that the performance of these schemes degrades significantly in real-world scenarios in which the channels of different receivers are spatially correlated. The root of this poor performance is that these schemes either do not exploit the problem structure (requiring models with millions of training parameters), or are overly-constrained to mimic algorithms that require very specific assumptions about the channel matrix. We propose MMNet, a deep learning MIMO detection scheme that significantly outperforms existing approaches on realistic channel matrices with the same or lower computational complexity. MMNet's design builds on the theory of iterative soft-thresholding algorithms to identify the right degree of model complexity, and it uses a novel training algorithm that leverages temporal and frequency locality of channel matrices at a receiver to accelerate training. Together, these innovations allow MMNet to train online for every realization of the channel. On i.i.d. Gaussian channels, MMNet requires 2 orders of magnitude fewer operations than existing deep learning schemes but achieves near-optimal performance. On spatially-correlated realistic channels, MMNet achieves the same error rate as the next-best learning scheme (OAMPNet [1]) at 2.5dB lower Signal-to-Noise Ratio (SNR) and with at least lOx less computational complexity. MMNet is also 4-8dB better overall than a classic linear scheme like the minimum mean square error (MMSE) detector.
by Mehrdad Khani Shirkoohi.
S.M. in Computer Science and Engineering
S.M.inComputerScienceandEngineering Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Seo, Jong-Soo. "Blind fault detection and source identification using higher order statistics for impacting systems". Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326784.
Pełny tekst źródłaPazaitis, Dimitrios I. "Performance improvement in adaptive signal processing algorithms". Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368771.
Pełny tekst źródłaJancik, Jasper F. "Applying signal detection theory to moral decision-making". View electronic thesis, 2008. http://dl.uncw.edu/etd/2008-1/r3/jancikj/jasperjancik.pdf.
Pełny tekst źródłaHasan, Md Mahmudul. "Biomedical signal based drowsiness detection using machine learning: Singular and hybrid signal approaches". Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/211388/1/Md%20Mahmudul_Hasan_Thesis.pdf.
Pełny tekst źródłaMa, Hannan. "Iterative row-column algorithms for two-dimensional intersymbol interference channel equalization complexity reduction and performance enhancement /". Pullman, Wash. : Washington State University, 2010. http://www.dissertations.wsu.edu/Thesis/Summer2010/h_ma_062110.pdf.
Pełny tekst źródłaTitle from PDF title page (viewed on July 28, 2010). "School of Electrical Engineering and Computer Science." Includes bibliographical references (p. 51).
Frazer, Gordon John. "Aspects of time-varying non Gaussian non-linear signal analysis". Thesis, Queensland University of Technology, 1996. https://eprints.qut.edu.au/105546/1/T%28BE%26E%29%201032%20Aspects%20of%20time-varying%20non-Gaussian%20non-linear%20signal%20analysis.pdf.
Pełny tekst źródłaTurner, Brandon M. "Signal detection theory a proposal for a nonparametric model /". Columbus, Ohio : Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1243624652.
Pełny tekst źródłaALQADAH, HATIM FAROUQ. "OPTIMIZED TIME-FREQUENCY CLASSIFICATION METHODS FOR INTELLIGENT AUTOMATIC JETTISONING OF HELMET-MOUNTED DISPLAY SYSTEMS". University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1185838368.
Pełny tekst źródłaEgea-Roca, Daniel. "Change detection techniques for GNSS signal-level integrity". Doctoral thesis, Universitat Autònoma de Barcelona, 2017. http://hdl.handle.net/10803/458425.
Pełny tekst źródłaThe provision of accurate positioning is becoming essential to our modern society. One of the main reasons is the great success and ease of use of Global Navigation Satellite Systems (GNSSs), which has led to an unprecedented amount of GNSS-based applications. In particular, the current trend shows that a new era of GNSS-based applications and services is emerging. These applications are the so-called critical applications, in which the physical safety of users may be in danger due to a miss-performance of the system. These applications have stringent requirements in terms of integrity, which is a measure of reliability and trust that can be placed on the information provided by the system. Unfortunately, GNSS-based critical applications are usually associated with terrestrial environments and original integrity algorithms usually fail. The main impairments are due to local effects such as interference, multipath or spoofing, which are assumed to be controlled in civil aviation but they are not in terrestrial environments. Thus, a new methodology for integrity is necessary in order to detect local effects and provide the additional level of integrity needed for GNSS-based critical applications; the so-called signal-level integrity. This thesis investigates novel detection algorithms with the aim of providing a new generation of integrity techniques in GNSS. For this purpose, the framework of Statistical Change Detection (SCD) is considered. This framework is of particular interest because its optimal criterion target the temporal dimension. This is an indispensable requirement for critical applications, in which a prompt detection is necessary. Therefore, the first part of this dissertation deals with the study of the field of SCD, including both Quickest Change Detection (QCD) and Transient Change Detection (TCD). Novel contributions are provided in the field of TCD, including the finite moving average solution and its statistical characterization. Numerical results show the superiority of our contributions. Finally, to conclude our study of SCD we compare it with classical detection schemes under the same mathematical framework. This comparison shows the appropriateness of SCD when dealing with timely detections. The main contribution of this thesis is the application of the SCD framework to threat detection and integrity in GNSS. To this end, we first investigate several properties of the received GNSS signal that may be useful for local threat detection. This leads us to move a step forward in the field of threat detection by proposing a novel QCD-based framework. Nonetheless, for integrity purposes a bounded delay is desirable, and it is here where TCD is of interest. For this reason, a novel TCD-based framework is considered for both multipath detection and integrity algorithms in GNSS, thus leading to the provision of signal-level integrity. A notable improvement is shown by the proposed TCD-based solutions considered in this thesis with respect to current solutions. In the last part of the thesis, the goal is to validate the proposed threat detectors and signal-level integrity algorithm using real GNSS signals. Real signal gathered in the context of an EC-funded research project is processed to show and validate the results of the implemented detectors. The results obtained in a realistic scenario show the improvement of the accuracy and integrity by using the proposed solution for signal-level integrity, with respect to current integrity algorithms. Furthermore, the proposed solution is shown to have real-time processing capabilities, thus being very attractive to improve current integrity algorithms and easily implementable in mass-market receivers.
Ma, Jun. "Channel estimation and signal detection for wireless relay". Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37082.
Pełny tekst źródłaBlanchett, Travis P. "Event detection and signal compression in digital electrocardiograms". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ39638.pdf.
Pełny tekst źródłaMartel, Karl. "Signal detection of gravitational waves from eccentric binaries". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ47345.pdf.
Pełny tekst źródłaRavirala, Narayana. "Device signal detection methods and time frequency analysis". Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.umr.edu/thesis/pdf/Ravirala_09007dcc803fea67.pdf.
Pełny tekst źródłaVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed March 18, 2008) Includes bibliographical references (p. 89-90).
Abujarad, Fawzy. "Ground penetrating radar signal processing for landmine detection". [S.l.] : [s.n.], 2007. http://diglib.uni-magdeburg.de/Dissertationen/2007/fawabujarad.htm.
Pełny tekst źródłaHayes, William S. "Pattern recognition and signal detection in gene finding". Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/25420.
Pełny tekst źródłaJi, Kang Hyeun. "Transient signal detection using GPS position time series". Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/69466.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (p. 229-243).
Continuously operating Global Positioning System (GPS) networks record station position changes with millimeter-level accuracy and have revealed transient deformations on various spatial and temporal scales. However, the transient deformation may not be easily identified from the position time series because of low signal-to-noise ratios (SNR), correlated noise in space and time and large number of sites in a network. As a systematic detection method, we use state estimation based on Kalman filtering and principal component analysis (PCA). State estimation improves the SNR in the time domain by estimating secular and transient motions and reducing the level of both white and colored noise. PCA improves the SNR in space domain by accounting for the coherence of transient motions between nearby sites. Synthetic tests show that the method is capable of detecting transient signals embedded in noisy data but complex signals (e.g., large-scale signals in space and time, multiple and/or propagating signals) are difficult to detect and interpret. We demonstrate the detection capability with two known signals in the Los Angeles basin, California: far-field coseismic offsets associated with the 1999 Hector Mine earthquake and locally-observed hydrologic deformation due to heavy rainfall in winter 2004-2005 in San Gabriel Valley. We applied the method to the daily GPS data from the Plate Boundary Observatory (PBO) network in Alaska and in the Washington State section of the Cascadia subduction zone. We have detected a transient signal whose maximum displacement is -9 mm in the horizontal and -41 mm in the vertical at Akutan volcano, Alaska, during the first half of 2008 and two previously unrecognized small slow slip events with average surface displacements less than 2 mm, which was thought to be below current GPS resolution. The detection method improves the SNR and therefore provides higher resolution for detecting weak transient signals, and it can be used as a routine monitoring system.
by Kang Hyeun Ji.
Ph.D.
Bland, Ross E. (Ross Edward). "Acoustic and seismic signal processing for footsetp detection". Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37052.
Pełny tekst źródłaIncludes bibliographical references (leaves 83-84).
The problem of detecting footsteps using acoustic and seismic sensors is approached from three different angles in this thesis. First, accelerometer data processing systems are designed to make footsteps more apparent to a human operator listening to accelerometer recordings. These systems work by modulating footstep signal energy into the ear's most sensitive frequency bands. Second, linear predictive modeling is shown to be an effective means to detect footsteps in accelerometer and microphone data. The time evolution of the third order linear prediction coefficients leads to the classical binary hypothesis testing framework. Lastly, a new method for blindly estimating the filters of a SIMO channel is presented. This method is attractive because it allows for a more tractable performance analysis.
by Ross E. Bland.
M.Eng.
Yi-qiang, Zhang, Zhang Qi-shan, Yang Dong-kai, Zhang Bo-chuan, Hu Rong-lei i Li Zi-wei. "SEA SURFACE SCATTERED GPS SIGNAL DETECTION AND APPLICATION". International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/605045.
Pełny tekst źródłaBackground and advantages of GPS based Remote Sensing are introduced, characteristics of forward scattered GPS signal such as polarization change, cross-correlation power variation, code delay due to the wave travel distance difference between direct and scattered signal, and cross-correlation power expansion due to sea surface roughness are discussed in detail. Working principle of the self-developed delay-mapping receiver is also presented. First data collection campaign is done at Inshore of BOHAI ocean with the delay-mapping receiver mounted on an airplane. Results show that the reflected signals has much variation than the direct signals, the code delay of the reflected signals varies as the receiver height and satellite elevation angle changes and expansion of the cross-correlation due to the wind driven surface was also demonstrated.
闐, 田. "Signal detection and interference avoidance in cognitive radio". Thesis, https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB12614652/?lang=0, 2013. https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB12614652/?lang=0.
Pełny tekst źródłaАвраменко, Віктор Васильович, Виктор Васильевич Авраменко, Viktor Vasylovych Avramenko, A. Konoplianchenko i R. Ponomarenko. "The Method for Detection of the Reference Signal". Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47238.
Pełny tekst źródłaRen, Mengqi. "JOINT DETECTION-STATE ESTIMATION AND SECURE SIGNAL PROCESSING". VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4662.
Pełny tekst źródłaQiao, Long. "Structural damage detection using signal-based pattern recognition". Diss., Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1385.
Pełny tekst źródłaTataryn, Douglas Joseph. "Psychophysical and signal detection analyses of hypnotic anesthesia". Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185845.
Pełny tekst źródłaCheng, ChienChun. "MIMO signal design, channel estimation, and symbol detection". Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC003/document.
Pełny tekst źródłaThe aim of this thesis is to investigate multiple input multiple output (MIMO) techniques from the reception algorithms, i.e., channel estimation, symbol detection, and interference suppression, to the advanced spatial modulation (SM) transmission schemes, i.e., the signal constellation design for high performance and energy efficiency. In the reception algorithms, the proposed schemes are derived based on the detection theory, i.e., maximum likelihood (ML), linear minimum mean square error (MMSE), successive interference cancellation (SIC), combining with the statistical analysis, i.e., Bayesian linear regression and Bayesian model comparison, in order to deal with the channel uncertainty, i.e., fading, correlations, thermal noise, multiple interference, and the impact of estimation errors.In the transmission schemes, the signal constellations are targeted to find a good trade off between the average transmit energy and the minimum Euclidean distance in the signal space. The proposed schemes, denoted by enhanced SM (ESM), introduce novel modulation/antenna combinations and use them as the information bits for transmission. The number of those combinations is the double or the quadruple of the number of active antenna indices (or index combinations) in conventional SM systems, and this increases the number of bits transmitted per channel use by one or two.The results of simulations show that good system performance can be achieved with the advanced MIMO techniques. Several examples are presented in this thesis to provide insights for the MIMO system designs