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Dissertations / Theses on the topic 'Extraction du signal'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Arani, Amirali Shayan. "Noninvasive cardioneural signal extraction." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p1457392.

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Thesis (M.S.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed Nov. 5, 2008). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 64-68).

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2

Fontanarava, Julien. "Signal Extraction from Scans of Electrocardiograms." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-248430.

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In this thesis, we propose a Deep Learning method for fully automated digitization of ECG (Electrocardiogram) sheets. We perform the digitization of ECG sheets in three steps: layout detection, column-wise signal segmentation, and finally signal retrieval - each of them performed by a Convolutional Neural Network. These steps leverage advances in the fields of object detection and pixel-wise segmentation due to the rise of CNNs in image processing. We train each network on synthetic images that reect the challenges of real-world data. The use of these realistic synthetic images aims at making

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3

Chilo, José. "Feature extraction for low-frequency signal classification /." Stockholm : Fysik, Physics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4661.

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4

Bergemann, Tracy L. "Image analysis and signal extraction from cDNA microarrays /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/9603.

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5

Pennington, Jason R. "Radar Signal Characteristic Extraction with FFT-Based Techniques." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663.

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6

Vartiainen, J. (Johanna). "Concentrated signal extraction using consecutive mean excision algorithms." Doctoral thesis, Oulun yliopisto, 2010. http://urn.fi/urn:isbn:9789514263491.

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Abstract Spread spectrum communication systems may be affected by other types of signals called outliers. These coexisting signals are typically narrow (or concentrated) in the considered domain. This thesis considers two areas of outlier detection, namely the concentrated interference suppression (IS) and concentrated signal detection. The focus is on concentrated signal extraction using blind, iterative and low-complex consecutive mean excision (CME) -based algorithms that can be applied to both IS and detection. A summary of results obtained from studying the performance of the existing I

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7

Mason, Steven George. "A modification of OPM : a signal-independent methodology for single-trial signal extraction." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/30024.

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Initial investigations of the Outlier Processing Method (OPM), first introduced by Birch [1][2][3] in 1988, have demonstrated a promising ability to extract a special class of signals, called highly variable events (HVEs), from coloured noise processes. The term HVE is introduced in this thesis to identify a finite-duration signal whose shape and latency vary dramatically from trial to trial and typically has a very low signal-to-noise ratio (SNR). This thesis presents a modified version of the original OPM algorithm, which can generate an estimate of the HVE with significantly less estimatio

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8

Forsling, Robin. "Decentralized Estimation Using Conservative Information Extraction." Licentiate thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171998.

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Sensor networks consist of sensors (e.g., radar and cameras) and processing units (e.g., estimators), where in the former information extraction occurs and in the latter estimates are formed. In decentralized estimation information extracted by sensors has been pre-processed at an intermediate processing unit prior to arriving at an estimator. Pre-processing of information allows for the complexity of large systems and systems-of-systems to be significantly reduced, and also makes the sensor network robust and flexible. One of the main disadvantages of pre-processing information is that inform

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9

Reindl, Klaus [Verfasser]. "Multichannel Acoustic Signal Extraction for Reverberant Environments / Klaus Reindl." München : Verlag Dr. Hut, 2015. http://d-nb.info/1074063287/34.

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Reindl, Klaus Josef [Verfasser]. "Multichannel Acoustic Signal Extraction for Reverberant Environments / Klaus Reindl." München : Verlag Dr. Hut, 2015. http://d-nb.info/1074063287/34.

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11

Randeny, Tharindu D. "Multi-Dimensional Digital Signal Processing in Radar Signature Extraction." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1451944778.

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12

Kong, Frederick. "Silicon-on-sapphire MOSFET parameter extraction by small-signal measurement /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17051.pdf.

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13

Regehr, Martin W. Drever Ronald W. P. Drever Ronald W. P. Yariv Amnon Raab Frederick J. "Signal extraction and control for an interferometric gravitational wave detector /." Diss., Pasadena, Calif. : California Institute of Technology, 1995. http://resolver.caltech.edu/CaltechETD:etd-10192007-092215.

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14

Kunicki, Theodora C. "Novel data-processing techniques for signal extraction in Project 8." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105596.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Physics, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 49-50).<br>Project 8 presents a new modality of electron spectroscopy with the potential to exceed the resolution of the most precise electron spectrometers in operation today, potentially at much lower cost. Project 8, being a novel method, has different computational demands from existing experiments. This thesis explores the use of the Hough Transform as a tool in data processing in Project 8 and discusses its utility and fu

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15

Kawaguchi, Hirokazu. "Signal Extraction and Noise Removal Methods for Multichannel Electroencephalographic Data." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188593.

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16

Zhou, Meng. "Vibration Extraction Using Rolling Shutter Cameras." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34963.

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Measurements of vibrations, such as sound hitting an object or running a motor, are widely used in industry and research. Traditional methods need either direct contact with the object or a laser vibrometer. Although computer vision methods have been applied to solve this problem, high speed cameras are usually preferred. This study employs a consumer level rolling shutter camera for extracting main frequency components of small vibrations. A rolling shutter camera exposes continuously over time on the vertical direction of the sensor, and produces images with shifted rows of objects. We utili

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17

Peddaneni, Hemanth. "Comparison of algorithms for fetal ECG extraction." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0007480.

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18

Kreuzinger, Tobias. "Digital Signal Processing Methods for Source Function Extraction of Piezoelectric Elements." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4792.

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Guided wave techniques have great potential for the structural health monitoring of plate-like components. Previous research has demonstrated the effectiveness of combining laser-ultrasonic techniques with time-frequency representations to experimentally develop the dispersion relationship of a plate; the high fidelity, broad bandwidth and point-like nature of laser ultrasonics are critical for the success of these results. Unfortunately, laser ultrasonic techniques are time and cost intensive, and are impractical for many in-service applications. Therefore this research develops a complementa

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19

Sun, Pu. "Development of mathematical morphology systems for signal feature extraction and detection." Thesis, University of Liverpool, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399060.

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This thesis describes a set of algorithms and systems that were developed, using signal processing techniques based on mathematical morphology (MM), for neonatal electrocardiogram (ECG) signal analysis and power transformer inrush current identification. MM methodologies are founded on set-theoretic concepts and nonlinear superpositions of signals and images. Morphological operations have been applied successfully to a wide range of problems including image processing and analysis tasks, noise suppression, feature extraction and pattern recognition etc. This approach seems very appropriate for

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20

Wang, Yuanxun. "Radar signature prediction and feature extraction using advanced signal processing techniques /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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21

Gale, Alan Ian. "Signal processing and modelling of coritcal evoked potentials for feature extraction." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/42593.

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22

Lau, Mark C. "Small Signal Equivalent Circuit Extraction From A Gallium Arsenide MESFET Device." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/36952.

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The development of microwave Gallium Arsenide Metal Semiconductor Field Effect Transistor (MESFET) devices has enabled the miniaturization of pagers, cellular phones, and other electronic devices. With these MESFET devices comes the need to model them. This thesis extracts a small signal equivalent circuit model from a Gallium Arsenide MESFET device. The approach taken in this thesis is to use measured S- parameters to extract a small signal equivalent circuit model by optimization. Small signal models and S-parameters are explained. The Simplex Method is used to optimize the smal

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23

Danielski, C. "Optimal extraction of planetary signal out of instrumental and astrophysical noise." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1425469/.

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Astonishingly for a discipline that did not even exist twenty years ago, the science of Exoplanets has arguably evolved exponentially, delivering transformational science. Planetary formation theories had to be completely revisited. The critical step yet to take is the determination of the chemical composition of the atmospheres of these exotic worlds. Detecting atmospheric features, which have a contrast of about 10^(-4) compared to the host stars radiation, is a challenge, especially since none of the instruments available can provide an absolute calibration at that level. To measure even th

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24

Janjarasjitt, Suparerk. "A NEW QRS DETECTION AND ECG SIGNAL EXTRACTION TECHNIQUE FOR FETAL MONITORING." Case Western Reserve University School of Graduate Studies / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1144263231.

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25

Lee, Woei Chieh. "Extraction of a weak co-channel interfering communication signal using adaptive filtering." Thesis, Monterey, California: Naval Postgraduate School, 2015. http://hdl.handle.net/10945/45219.

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Approved for public release; distribution is unlimited<br>Conventional separation techniques such as filters cannot be used in a scenario where a weak signal is embedded within a stronger signal in the same frequency band. An adaptive filter approach to recover a weak narrowband communication signal embedded in a strong wideband broadcast signal and additive noise is investigated by taking advantage of the known characteristics of the broadcast signal standard. The weak signal considered is a four–quadrature amplitude modulation (QAM) communication signal, and the stronger signal is a Digital

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26

Liu, Hongtao, and 刘洪涛. "Fast signal extraction of somatosensory evoked potentials for intraoperative spinal cord monitoring." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45697139.

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27

Bayram, Saffet. "Overloaded Array Processing: System Analysis, Signal Extraction Techniques, and Time-delay Estimation." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/36039.

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In airborne communication systems such as airborne cell-extender repeaters the receiver faces the challenge of demodulating the signal of interest (SOI) in the presence of excessive amounts of Co-Channel Interference (CCI) from a large number of sources. This results in the overloaded environment where the number of near-equal power co-channel interferers exceeds the number of antenna array elements. This thesis first analyzes the interference environment experienced by an airborne cellular repeater flying at high altitudes. Link budget analysis using a two-ray propagation model shows that

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28

Paraskevas, Ioannis. "Phase as a feature extraction tool for audio classification and signal localisation." Thesis, University of Surrey, 2005. http://epubs.surrey.ac.uk/843856/.

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The aim of this research is to demonstrate the significance of signal phase content in time localization issues in synthetic signals and in the extraction of appropriate features from acoustically similar audio recordings (non-synthetic signals) for audio classification purposes. Published work, relating to audio classification, tends to be1 focused on the discrimination of audio classes that are dissimilar acoustically. Consequently, a wide range of features, extracted from the audio recordings, has been appropriate for the classification task. In this research, the audio classification appli

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29

Lorentzon, Matilda. "Feature Extraction for Image Selection Using Machine Learning." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142095.

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During flights with manned or unmanned aircraft, continuous recording can result in avery high number of images to analyze and evaluate. To simplify image analysis and tominimize data link usage, appropriate images should be suggested for transfer and furtheranalysis. This thesis investigates features used for selection of images worthy of furtheranalysis using machine learning. The selection is done based on the criteria of havinggood quality, salient content and being unique compared to the other selected images.The investigation is approached by implementing two binary classifications, one

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30

Noorzadeh, Saman. "Extraction de l'ECG du foetus et de ses caractéristiques grâce à la multi-modalité." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT135/document.

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La surveillance de la santé foetale permet aux cliniciens d’évaluer le bien-être du foetus,de faire une détection précoce des anomalies cardiaques foetales et de fournir les traitementsappropriés. Les développements technologies actuels visent à permettre la mesurede l’électrocardiogramme (ECG) foetal de façon non-invasive afin d’extraire non seulementle rythme cardiaque mais également la forme d’onde du signal. Cet objectif est rendudifficile par le faible rapport signal sur bruit des signaux mesurés sur l’abdomen maternel.Cette mesure est donc toujours un challenge auquel se confrontent beau

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31

Gooch, Richard M. "Machine learning techniques for signal processing, pattern recognition and knowledge extraction from examples." Thesis, University of Bristol, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294898.

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32

Lee, Mark de Jersey. "A graph theoretic approach to region and edge extraction in image signal processing." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/47037.

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33

Wildi, Marc. "Signal extraction : efficient estmation, 'unit-root'-tests and early detection of turning-points /." [St. Gallen], 2002. http://aleph.unisg.ch/hsgscan/hm00131369.pdf.

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34

Dupaix, Taylor Meredith Ireene. "Statistical Analysis and Extraction of Quantitative Data from Elliptical-Signal-Model bSSFP MRI." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7475.

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Osteoarthritis is the most common type of arthritis, and is characterized by the loss of articular cartilage in a joint. This eventually leads to painful bone on bone interactions. Since the loss of cartilage is permanent, the main treatment for this disease is pain management until a full joint replacement is needed. To test new potential treatments a consistent way to measure cartilage thickness is needed. The current standard used in the knee to represent cartilage uses joint space width measured from x-rays. This measurement is highly variable, and does not directly show cartilage. Unlike

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35

Yang, Mingqiang. "Extraction d'attributs et mesures de similarité basées sur la forme." Phd thesis, INSA de Rennes, 2008. http://tel.archives-ouvertes.fr/tel-00335083.

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Dans le contexte de la reconnaissance de forme et de l'observation de similarité d'un objet parmi d'autres, les caractéristiques de forme extraites de son image sont des outils puissants. En effet la forme de l'objet est habituellement et fortement liée à sa fonctionnalité et son identité. S'appuyant sur cette forme, un éventail de méthodes par extraction de caractéristiques et mesures de similarité a été proposé dans la littérature. De nombreuses et diverses applications sont susceptibles d'utiliser ces caractéristiques de forme. L'invariance géométrique et la résistance aux déformations sont

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Forsberg, Axel. "A Wavelet-Based Surface Electromyogram Feature Extraction for Hand Gesture Recognition." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39766.

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The research field of robotic prosthetic hands have expanded immensely in the last couple of decades and prostheses are in more commercial use than ever. Classification of hand gestures using sensory data from electromyographic signals in the forearm are primary for any advanced prosthetic hand. Improving classification accuracy could lead to more user friendly and more naturally controlled prostheses. In this thesis, features were extracted from wavelet transform coefficients of four channel electromyographic data and used for classifying ten different hand gestures. Extensive search for suit

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37

Zils, Aymeric. "Extraction de descripteurs musicaux : une approche évolutionniste." Paris 6, 2004. http://www.theses.fr/2004PA066505.

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38

Hagstette, Matthew E. "Extraction of a weak co-channel interfering communication signal using complex independent component analysis." Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34672.

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Approved for public release; distribution is unlimited<br>Independent Component Analysis (ICA) has largely been applied to the biomedical field over the past two decades and only recently extended to the processing of complex non-circular sources. The feasibility and performance of complex ICA to extract a weak co-channel interfering communications signal from a television broadcast signal is investigated in this thesis. The performance of three algorithms, complex maximization of non-Gaussianity (CMN) by Novey et al., RobustICA by Zarzoso et al., and complex fixed-point algorithm (CFPA) by Do

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39

Koch, Christian. "Extraction of Mercury's tidal signal and libration amplitude from synthetic laser altimeter data sets." [Göttingen] Copernicus Publ, 2009. http://d-nb.info/999293885/04.

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Nadkarni, Vivek Bhalchandra 1975. "Parallel FFTCAP : a parallel precorrected FFT based capacitance extraction program for signal integrity analysis." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47615.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.<br>Includes bibliographical references (p. 57-58).<br>by Vivek Bhalchandra Nadkarni.<br>M.Eng.

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Poling, Brian. "On-Chip Signal Generation and Response Waveform Extraction for Analog Built-In-Self-Test." Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1190050023.

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42

Abreu, Rodolfo Telo Martins de. "Algorithms for information extraction and signal annotation on long-term biosignals using clustering techniques." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8250.

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica<br>One of the biggest challenges when analysing data is to extract information from it, especially if we dealing with very large sized data, which brings a new set of barriers to be overcome. The extracted information can be used to aid physicians in their diagnosis since biosignals often carry vital information on the subjects. In this research work, we present a signal-independent algorithm with two main goals: perform events detection in biosignals and, with those events, extract information using a set of distance meas

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43

Matzner, Shari. "Model-Based Information Extraction From Synthetic Aperture Radar Signals." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/248.

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Synthetic aperture radar (SAR) is a remote sensing technology for imaging areas of the earth's surface. SAR has been successfully used for monitoring characteristics of the natural environment such as land cover type and tree density. With the advent of higher resolution sensors, it is now theoretically possible to extract information about individual structures such as buildings from SAR imagery. This information could be used for disaster response and security-related intelligence. SAR has an advantage over other remote sensing technologies for these applications because SAR data can be coll

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Hamlet, Sean Michael. "COMPARING ACOUSTIC GLOTTAL FEATURE EXTRACTION METHODS WITH SIMULTANEOUSLY RECORDED HIGH-SPEED VIDEO FEATURES FOR CLINICALLY OBTAINED DATA." UKnowledge, 2012. http://uknowledge.uky.edu/ece_etds/12.

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Accurate methods for glottal feature extraction include the use of high-speed video imaging (HSVI). There have been previous attempts to extract these features with the acoustic recording. However, none of these methods compare their results with an objective method, such as HSVI. This thesis tests these acoustic methods against a large diverse population of 46 subjects. Two previously studied acoustic methods, as well as one introduced in this thesis, were compared against two video methods, area and displacement for open quotient (OQ) estimation. The area comparison proved to be somewhat amb

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Zilberman, Eric R. "Autonomous time-frequency cropping and feature-extraction algorithms for classification of LPI radar modulations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Jun%5FZilberman.pdf.

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Andréasson, Thomas. "Signal Processing Using Wavelets in a Ground Penetrating Radar System." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1774.

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<p>This master's thesis explores whether time-frequency techniques can be utilized in a ground penetrating radar system. The system studied is the HUMUS system which has been developed at FOI, and which is used for the detection and classification of buried land mines. </p><p>The objective of this master's thesis is twofold. First of all it is supposed to give a theoretical introduction to the wavelet transform and wavelet packets, and also to introduce general time-frequency transformations. Secondly, the thesis presents and implements an adaptive method, which is used to perform the task of

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Wang, Yadong. "Represensting signals using only timing information and feature extraction for automatic speech recognition /." View online ; access limited to URI, 2003. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3115640.

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Salamon, Justin J. "Melody extraction from polyphonic music signals." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123777.

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Music was the first mass-market industry to be completely restructured by digital technology, and today we can have access to thousands of tracks stored locally on our smartphone and millions of tracks through cloud-based music services. Given the vast quantity of music at our fingertips, we now require novel ways of describing, indexing, searching and interacting with musical content. In this thesis we focus on a technology that opens the door to a wide range of such applications: automatically estimating the pitch sequence of the melody directly from the audio signal of a polyphonic music re

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49

Liu, Adrian Chi-Yan. "From theoretical promise to observational reality : calibration, foreground subtraction, and signal extraction in hydrogen cosmology." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76830.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 265-271).<br>By using the hyperfine 21 cm transition to map out the distribution of neutral hydrogen at high redshifts, hydrogen cosmology has the potential to place exquisite constraints on fundamental cosmological parameters, as well as to provide direct observation

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Darrington, John Mark. "Real time extraction of ECG fiducial points using shape based detection." University of Western Australia. School of Computer Science and Software Engineering, 2009. http://theses.library.uwa.edu.au/adt-WU2009.0152.

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The electrocardiograph (ECG) is a common clinical and biomedical research tool used for both diagnostic and prognostic purposes. In recent years computer aided analysis of the ECG has enabled cardiographic patterns to be found which were hitherto not apparent. Many of these analyses rely upon the segmentation of the ECG into separate time delimited waveforms. The instants delimiting these segments are called the

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