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1

Gudmundson, Erik. "Signal Processing for Spectroscopic Applications." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-120194.

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Spectroscopic techniques allow for studies of materials and organisms on the atomic and molecular level. Examples of such techniques are nuclear magnetic resonance (NMR) spectroscopy—one of the principal techniques to obtain physical, chemical, electronic and structural information about molecules—and magnetic resonance imaging (MRI)—an important medical imaging technique for, e.g., visualization of the internal structure of the human body. The less well-known spectroscopic technique of nuclear quadrupole resonance (NQR) is related to NMR and MRI but with the difference that no external magnet
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Zhao, Wentao. "Genomic applications of statistical signal processing." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2952.

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Xu, Luzhou. "Growth curve models in signal processing applications." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015020.

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4

Ko, Ming-Yung. "Integrated software synthesis for signal processing applications." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3459.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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5

Peterson, Krystal, Samuel Richter, Adam Schafer, Steve Grant, and Kurt Kosbar. "DISTRIBUTED COMPUTING PROCESSOR FOR SIGNAL PROCESSING APPLICATIONS." International Foundation for Telemetering, 2016. http://hdl.handle.net/10150/624191.

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Many signal processing, data analysis and graphical user interface algorithms are computationally intensive. This paper investigates a method of off-loading some of the calculations to remotely located processors. Inexpensive, commercial off the shelf processors are used to perform operations such as fast Fourier transforms and other numerically intensive algorithms. The data is passed to the processors, and results collected, using conventional network interfaces such as TCP/IP. This allows the processors to be located at any location, and also allows potentially large caches of processo
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Naulleau, Patrick. "Optical signal processing and real world applications /." Online version of thesis, 1993. http://hdl.handle.net/1850/12136.

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7

Ghaderi, Foad. "Signal processing techniques for extracting signals with periodic structure : applications to biomedical signals." Thesis, Cardiff University, 2010. http://orca.cf.ac.uk/55183/.

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In this dissertation some advanced methods for extracting sources from single and multichannel data are developed and utilized in biomedical applications. It is assumed that the sources of interest have periodic structure and therefore, the periodicity is exploited in various forms. The proposed methods can even be used for the cases where the signals have hidden periodicities, i.e., the periodic behaviour is not detectable from their time representation or even Fourier transform of the signal. For the case of single channel recordings a method based on singular spectrum anal ysis (SSA) of the
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8

Auyeung, Cheung. "Optimal constraint-based signal restoration and its applications." Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/15785.

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9

Kuchler, Ryan J. "Theory of multirate statistical signal processing and applications." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FKuchler%5FPhD.pdf.

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10

Liu, Haibo. "SEED devices used in optical signal processing applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq25657.pdf.

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11

Persson, Per. "Annealing Based Optimization Methods for Signal Processing Applications." Doctoral thesis, Ronneby : Department of Telecommunications and Signal Processing, Blekinge Institute of Technology, 2003. http://www.bth.se/fou/forskinfo.nsf/01f1d3898cbbd490c12568160037fb62/da44274e9f86a54ec1256d260044e0dd!OpenDocument.

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12

Birgmeier, Martin. "Kalman-trained neural networks for signal processing applications /." Wien : Österr. Kunst- und Kulturverl, 1998. http://www.gbv.de/dms/bs/toc/250698048.pdf.

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13

Jha, Sanjay Kumar. "Artificial neural networks for digital signal processing applications." Thesis, University of Strathclyde, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284097.

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14

Walsh, Brendan. "Seismic signal processing for single well imaging applications." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/9784.

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This thesis focuses on the concept of Single Well Imaging (SWI) in which a seismic source and receivers are deployed in a borehole to investigate the surrounding geology. The Uniwell project (1997-1999) was the first attempt to develop the SWI method; it used a fluid-coupled downhole source, which unfortunately generated high amplitude guided waves in the borehole which obscured all other useful information. Initial research work detailed in this thesis focused on removing the high amplitude guided waves, known as tube waves. Two-step source signature deconvolution using first the recorded sou
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15

Vallet, Pascal. "Random matrices and applications to statistical signal processing." Thesis, Paris Est, 2011. http://www.theses.fr/2011PEST1055/document.

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Dans cette thèse, nous considérons le problème de la localisation de source dans les grands réseaux de capteurs, quand le nombre d'antennes du réseau et le nombre d'échantillons du signal observé sont grands et du même ordre de grandeur. Nous considérons le cas où les signaux source émis sont déterministes, et nous développons un algorithme de localisation amélioré, basé sur la méthode MUSIC. Pour ce faire, nous montrons de nouveaux résultats concernant la localisation des valeurs propres des grandes matrices aléatoires gaussiennes complexes de type information plus bruit<br>In this thesis, we
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Wahab, Lena. "Poisson relationships with applications to digital signal processing." Thesis, Imperial College London, 2007. http://hdl.handle.net/10044/1/11345.

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17

Shah, Vijay Pravin. "An advanced signal processing toolkit for Java applications." Master's thesis, Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-11102002-141018.

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18

Gabriel, Joseph R. "Invariant hypothesis testing with applications in signal processing /." View online ; access limited to URI, 2004. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3135904.

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19

Tran, Merry Thi. "Applications of Digital Signal Processing with Cardiac Pacemakers." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4582.

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Because the voltage amplitude of a heart beat is small compared to the amplitude of exponential noise, pacemakers have difficulty registering the responding heart beat immediately after a pacing pulse. This thesis investigates use of digital filters, an inverse filter and a lowpass filter, to eliminate the effects of exponential noise following a pace pulse. The goal was to create a filter which makes recognition of a haversine wave less dependent on natural subsidence of exponential noise. Research included the design of heart system, pacemaker, pulse generation, and D sensor system simulatio
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Tam, Chi Pan. "Signal and image deconvolution : algorithms and applications." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1105.

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21

Larsson, Erik G. "The ubiquitous signal processing : applications to communications, spectral analysis and array processing /." Uppsala : Uppsala Univ, 2001. http://www.gbv.de/dms/goettingen/342399306.pdf.

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Pan, Jian Jia. "EMD/BEMD improvements and their applications in texture and signal analysis." HKBU Institutional Repository, 2013. https://repository.hkbu.edu.hk/etd_oa/75.

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The combination of the well-known Hilbert spectral analysis (HAS) and the recently developed Empirical Mode Decomposition (EMD) designated as the Hilbert-Huang Transform (HHT) by Huang in 1998, represents a paradigm shift of data analysis methodology. The HHT is designed specifically for analyzing nonlinear and nonstationary data. The key part of HHT is EMD with which any complicated data set can be decomposed into a finite and often small number of Intrinsic Mode Functions (IMFs). For two dimension, bidimensional IMFs (BIMFs) is decomposed by use of bidimensional EMD (BEMD). However, th
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23

Awad, Hazem. "Competitive optics circuits for all-optical signal-processing applications." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27221.

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This thesis details the simulation and experimental validation of several all-optical signal-processing configurations that utilise competitive optics principles. Competitive optics refers to any number of optical systems where different optical modes or wavelengths compete for a limited system resource, such as the optical gain of some common gain medium, in order to receive amplification. The gain medium can utilise different materials including photorefractive materials (e.g. BaTO3 crystals) and saturated gain material (e.g. semiconductor optical amplifiers). Competitive optics configuratio
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24

Hill, S. "Applications of statistical learning theory to signal processing problems." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604048.

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The dissertation focuses on the applicability of Support Vector Regression (SVR) in signal processing contexts. This is shown to be particularly well-suited to filtering in alpha-stable noise environments, and a further slight modification is proposed to this end. The main work in this dissertation on SVR is on the application to audio filtering based on perceptual criteria. This appears an ideal solution to the problem due to the fact that the loss function typically used by perceptual audio filtering practitioners incorporates a region of zero loss, as does SVR. SVR is extended to the proble
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25

Vu, Viet Thuy. "Ultrawideband-Ultrawidebeam Synthetic Aperture Radar – Signal Processing and Applications." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00512.

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This dissertation presents practical issues in Ultrawideband – Ultrawidebeam (UWB) Synthetic Aperture Radar (SAR) signal processing and crucial applications developed on UWB SAR. In the context of this dissertation, UWB SAR refers to the SAR systems utilizing large fractional bandwidth signals and synthesizing long apertures associated with wide antenna beamwidths. On one hand, such specific systems give us opportunities to develop unique applications. One the other hand, signal processing for data collected by these systems is very challenging and therefore requires much effort due to their c
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26

Molavi, Behnam. "Near infrared spectroscopy : novel signal processing methods and applications." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45353.

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Oxygen is a critical component in living organisms and its concentration in tissue is an important parameter indicative of tissue metabolism, level of activity and health condition. As a result, measuring oxygen concentration in the tissue is essential in many clinical and research applications. Near Infrared Spectroscopy (NIRS) is a non invasive method of measuring tissue oxygenation using diffusion of light in the tissue. NIRS as a safe, non invasive and low cost monitoring technology has been used in a wide range of applications including monitoring muscle and brain oxygenation, brain com
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27

Ying, Chinghui J. "Stochastic exponential modeling and applications to radar signal processing /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487942739805428.

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28

Klingspor, Måns. "Hilbert Transform : Mathematical Theory and Applications to Signal processing." Thesis, Linköpings universitet, Matematik och tillämpad matematik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122736.

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The Hilbert transform is a widely used transform in signal processing. In this thesis we explore its use for three different applications: electrocardiography, the Hilbert-Huang transform and modulation. For electrocardiography, we examine how and why the Hilbert transform can be used for QRS complex detection. Also, what are the advantages and limitations of this method? The Hilbert-Huang transform is a very popular method for spectral analysis for nonlinear and/or nonstationary processes. We examine its connection with the Hilbert transform and show limitations of the method. Lastly, the con
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29

Ekström, Mattias. "Acoustic feedback suppression in audio mixer for PA applications." Thesis, Umeå universitet, Institutionen för fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136841.

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When a speaker is addressing an audience, a PA system consisting of a microphone and a loudspeaker is often used. If the microphone picks up too much of the loudspeaker energy, acoustic feedback in the form of an unwanted characteristic howling can occur. Limes Audio is a software company that specializes in improving sound quality in digital communications, mainly conference telephony, and has developed a reference product, the Magneto mixer, to demonstrate the capability of their software TrueVoice. The company now wishes to expand the field of usage for the Magneto mixer to enable it to wor
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30

Lipstreu, William F. "Digital Signal Processing Laboratory Using Real-Time Implementations of Audio Applications." Cleveland, Ohio : Case Western Reserve University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1240836810.

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31

Couch, P. R. "Cacophonous lasers and their applications." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.232984.

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Chaos, an unstable steady-state phenomenon, arises in apparently random optical sequences from semiconductor lasers subjected to reflection. This condition, referred to as cacophony, might provide a new pseudo-random source for use in coherent fibre optic systems. Coherent optical signal processing is expected to find substantially increased application, especially in local data networks. An optical spread-spectrum source may suit two apparent needs of these networks: 1) a high resolution optical time-domain reflectometer, using correlation of sequences, which can identify the closely spaced f
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32

Ödling, Andreas. "Analysis and Optimisation of Communication Links for Signal Processing Applications." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-109312.

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There are lots of communication links and standards currently being employed to build systems today. These methods are in many way standardised, but far from everyone of them are. The trick is to select the communication method that best suit your needs. Also there is currently a trend that things have to be cheaper and have shorter time to market. That leads to more Component Off The Shelf (COTS) systems being build using commodity components. As one part of this work, Gigabit Ethernet is evaluated as a COTS-solution to building large, high-end systems. The computers used are running Windows
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Perumalla, Calvin A. "Machine Learning and Adaptive Signal Processing Methods for Electrocardiography Applications." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6926.

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This dissertation is directed towards improving the state of art cardiac monitoring methods and automatic diagnosis of cardiac anomalies through modern engineering approaches such as adaptive signal processing, and machine learning methods. The dissertation will describe the invention and associated methods of a cardiac rhythm monitor dubbed the Integrated Vectorcardiogram (iVCG). In addition, novel machine learning approaches are discussed to improve diagnoses and prediction accuracy of cardiac diseases. It is estimated that around 17 million people in the world die from cardia
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Glenn, Dickins, and glenn dickins@dolby com. "Applications of Continuous Spatial Models in Multiple Antenna Signal Processing." The Australian National University. Research School of Information Sciences and Engineering, 2008. http://thesis.anu.edu.au./public/adt-ANU20080702.222814.

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This thesis covers the investigation and application of continuous spatial models for multiple antenna signal processing. The use of antenna arrays for advanced sensing and communications systems has been facilitated by the rapid increase in the capabilities of digital signal processing systems. The wireless communications channel will vary across space as different signal paths from the same source combine and interfere. This creates a level of spatial diversity that can be exploited to improve the robustness and overall capacity of the wireless channel. Conventional approaches to using spati
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Mansour, Omar. "High level synthesis for non-manifest digital signal processing applications." Enschede : University of Twente [Host], 2006. http://doc.utwente.nl/51107.

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Blais, Sébastien R. "Superstructured Fiber Bragg Gratings and Applications in Microwave Signal Processing." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30358.

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Since their discovery in 1978 by Hill et al. and the development of the transverse holographic technique for their fabrication by Meltz et al. in 1989, fiber Bragg gratings (FBG) have become an important device for applications in optical communications, optical signal processing and fiber-optical sensors. A superstructured fiber Bragg grating (SFBG), also called a sampled fiber Bragg grating, is a special FBG that consists of a several small FBGs placed in close proximity to one another. SFBGs have attracted much attention in recent years with the discovery of techniques allowing the creation
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Jijie, Zhu. "Finite state machine with applications to digital signal processing systems." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293028.

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38

Song, William S. "A fault-tolerant multiprocessor architecture for digital signal processing applications." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14427.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.<br>Includes bibliographical references.<br>Partly funded by US Air Force Office of Scientific Research. AFOSR-86-0164 Partly funded by Draper Laboratories.<br>by William S. Song.<br>Ph.D.
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Diethe, T. R. "Sparse machine learning methods with applications in multivariate signal processing." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/20450/.

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This thesis details theoretical and empirical work that draws from two main subject areas: Machine Learning (ML) and Digital Signal Processing (DSP). A unified general framework is given for the application of sparse machine learning methods to multivariate signal processing. In particular, methods that enforce sparsity will be employed for reasons of computational efficiency, regularisation, and compressibility. The methods presented can be seen as modular building blocks that can be applied to a variety of applications. Application specific prior knowledge can be used in various ways, result
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Taylor, George. "Micropipeline controller design and verification with applications in signal processing." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/14531.

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Asynchronous circuits, in comparison with synchronous circuits, have the potential to offer power and speed advantages combined with improved design reuse and composition. Continual improvements in fabrication technology increase die sizes and decrease device sizes, increasing the difficulty of clock distribution and timing validation in synchronous designs. As a consequence there has been a resurgence of interest in asynchronous circuits and design methods. This work examines aspects of asynchronous micropipeline controller design, verification and application. A micropipeline controller circ
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Anam, M. A. "Precision-energy-throughput scaling of error tolerant signal processing applications." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1452723/.

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The increases in power dissipation and transient fault rates experienced in applications based on state-of-the-art integrated processor technologies now lead to bottlenecks in energy consumption, processing-throughput scaling, and system reliability. Therefore, application and system designers are now beginning to accept the notion of error tolerance across the system stack, i.e., new methods that detect and tolerate (or mitigate) faults in exchange for resource efficiency at the application, runtime, compiler, architecture and hardware layers are now under intensive investigation. Within this
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Zhang, Jinfei. "Advances of Mathematical Morphology and Its Applications in Signal Processing." Thesis, University of Liverpool, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485994.

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This thesis describes some advances of Mathematical Morphology (MM), in order to improve the performance of MM filters in I-D signal processing, . especially in the application to power system protection. MM methodologies are founded on set-theoretic concepts and nonlinear superpositions of signals and images. The morphological operations possess outstanding geometrical properties which make it undoubted that they are efficient image processing methods. However in I-D signal processing, MM filters are not widely employed. To explore the applications of MM for I-D signal processing, our contrib
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Tepvorachai, Gorn. "An Evolutionary Platform for Retargetable Image and Signal Processing Applications." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1209504058.

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Jarrah, Amin. "Development of Parallel Architectures for Radar/Video Signal Processing Applications." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1415806786.

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Marom, Dan M. "Femtosecond-rate optical signal processing with applications in ultrafast communications /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9975898.

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Chaudhary, Mandeep. "Implementation and applications of logarithmic signal processing on an FPGA." Thesis, University of Kent, 2016. https://kar.kent.ac.uk/55184/.

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This thesis presents two novel algorithms for converting a normalised binary floating point number into a binary logarithmic number with the single-precision of a floating point number. The thesis highlights the importance of logarithmic number systems in real-time DSP applications. A real-time cross-correlation application where logarithmic signal processing is used to simplify the complex computation is presented. The first algorithm presented in this thesis comprises two stages. A piecewise linear approximation to the original logarithmic curve is performed in the first stage and a scaled-d
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Nguyen, Quang-Thang. "Contributions to Statistical Signal Processing with Applications in Biomedical Engineering." Télécom Bretagne, 2012. http://www.telecom-bretagne.eu/publications/publication.php?idpublication=13290.

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Cette étude présente des contributions en traitement statistique du signal avec des applications biomédicales. La thèse est divisée en deux parties. La première partie traite de la détection des hotspots à l'interface des protéines. Les hotspots sont les résidus dont les contributions énergétiques sont les plus importantes dans l'interaction entre protéines. Les forêts aléatoires (Random Forests) sont utilisées pour la classification. Une nouvelle famille de descripteurs de hotspot est également introduite. Ces descripteurs sont basés seulement sur la séquence primaire unidimensionnelle d'acid
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姚佩雯 and Pui-man Yiu. "Multiplier-less sinusoidal transformations and their applications to perfect reconstruction filter banks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31228045.

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Nordlund, Per-Johan. "Efficient Estimation and Detection Methods for Airborne Applications." Doctoral thesis, Linköpings universitet, Institutionen för systemteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15826.

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The overall purpose with this thesis is to investigate and provide computationally efficient methods for estimation and detection. The focus is on airborne applications, and we seek estimation and detection methods which are accurate and reliable yet effective with respect to computational load. In particular, the methods shall be optimized for terrain-aided navigation andcollision avoidance respectively. The estimation part focuses on particle filtering and the in general much more efficient marginalized particle filter. The detection part focuses on finding efficient methods for evaluating t
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Li, Kun. "Advanced Signal Processing Techniques for Single Trial Electroencephalography Signal Classification for Brain Computer Interface Applications." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3484.

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Brain Computer Interface (BCI) is a direct communication channel between brain and computer. It allows the users to control the environment without the need to control muscle activity [1-2]. P300-Speller is a well known and widely used BCI system that was developed by Farwell and Donchin in 1988 [3]. The accuracy level of the P300-BCI Speller as measured by the percent of communicated characters correctly identified by the system depends on the ability to detect the P300 event related potential (ERP) component among the ongoing electroencephalography (EEG) signal. Different techniques have bee
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