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Dissertations / Theses on the topic 'Adaptive filtering'

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Published: 4 June 2021

Last updated: 25 July 2025

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1

Haglund, Leif. "Adaptive Multidimensional Filtering." Doctoral thesis, Linköpings universitet, Bildbehandling, 1991. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54339.

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This thesis contains a presentation and an analysis of adaptive filtering strategies for multidimensional data. The size, shape and orientation of the flter are signal controlled and thus adapted locally to each neighbourhood according to a predefined model. The filter is constructed as a linear weighting of fixed oriented bandpass filters having the same shape but different orientations. The adaptive filtering methods have been tested on both real data and synthesized test data in 2D, e.g. still images, 3D, e.g. image sequences or volumes, with good results. In 4D, e.g. volume sequences, the

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2

Adriannse, Robert. "Adaptive local statistics filtering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq21530.pdf.

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3

Chambers, Brian D. "Adaptive Bayesian information filtering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0007/MQ45945.pdf.

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4

Rangarao, Kaluri Venkata. "Adaptive digital notch filtering." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26345.

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5

Xie, Bei. "Partial Update Adaptive Filtering." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26670.

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Adaptive filters play an important role in the fields related to digital signal processing and communication, such as system identification, noise cancellation, channel equalization, and beamforming. In practical applications, the computational complexity of an adaptive filter is an important consideration. The Least Mean Square (LMS) algorithm is widely used because of its low computational complexity (O(N)) and simplicity in implementation. The least squares algorithms, such as Recursive Least Squares (RLS), Conjugate Gradient (CG), and Euclidean Direction Search (EDS), can converge faster

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6

Kshonze, Kristopher. "Adaptive filtering with systolic arrays." Thesis, University of Ottawa (Canada), 1988. http://hdl.handle.net/10393/5456.

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7

Fertig, Louis B. "Dual forms for constrained adaptive filtering." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/15642.

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8

Baykal, Buyurman. "Underdetermined recursive least-squares adaptive filtering." Thesis, Imperial College London, 1995. http://hdl.handle.net/10044/1/7790.

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9

Faghih, Farshad. "Adaptive wavelet-based noise filtering techniques." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ38627.pdf.

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10

Wilstrup, Steven L. "Adaptive algorithms for two dimensional filtering." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/22855.

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11

Hawes, Anthony H. "Least squares and adaptive multirate filtering." Thesis, Monterey, California. Naval Postgraduate School, 2012.

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Approved for public release; distribution in unlimited.<br>This thesis addresses the problem of estimating a random process from two observed signals sampled at different rates. The case where the low-rate observation has a higher signal-to- noise ratio than the high-rate observation is addressed. Both adaptive and non-adaptive filtering techniques are explored. For the non-adaptive case, a multirate version of the Wiener-Hopf optimal filter is used for estimation. Three forms of the filter are described. It is shown that using both observations with this filter achieves a lower mean-squared e

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12

Nambiar, Raghu. "Learning algorithms for adaptive digital filtering." Thesis, Durham University, 1993. http://etheses.dur.ac.uk/5544/.

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In this thesis, we consider the problem of parameter optimisation in adaptive digital filtering. Adaptive digital filtering can be accomplished using both Finite Impulse Response (FIR) filters and Infinite Impulse Response Filters (IIR) filters. Adaptive FIR filtering algorithms are well established. However, the potential computational advantages of IIR filters has led to an increase in research on adaptive IIR filtering algorithms. These algorithms are studied in detail in this thesis and the limitations of current adaptive IIR filtering algorithms are identified. New approaches to adaptive

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13

Pasquato, Lorenzo. "Adaptive filtering with balanced model truncation." Thesis, University of Westminster, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251702.

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14

Zhahir, Md Amzari. "Adaptive filtering applications to satellite navigation." Thesis, Queen Mary, University of London, 2010. http://qmro.qmul.ac.uk/xmlui/handle/123456789/364.

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Differential Global Navigation Satellite Systems employ the extended Kalman filter to estimate the reference position error. High accuracy integrated navigation systems have the ability to mix traditional inertial sensor outputs with navigation satellite based position information and can be used to develop high accuracy landing systems for aircraft. This thesis considers a host of estimation problems associated with aircraft navigation systems that currently rely on the extended Kalman filter and proposes to use a nonlinear estimation algorithm, the unscented Kalman filter (UKF) that does not

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15

Weiss, S. "On adaptive filtering in oversampled subbands." Thesis, University of Strathclyde, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.561417.

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For a number of applications like acoustic echo cancellation, adaptive filters are required to identify very long impulse responses. To reduce the computational cost in implementations, adaptive filtering in subband is known to be beneficial. Based on a review of popular fullband adaptive filtering algorithms and various subband approaches, this thesis investigates the implementation, design, and limitations of oversampled subband adaptive filter systems based on modulated complex and real valued filter banks. The main aim is to achieve a computationally efficient implementation for adaptive f

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16

Jelfs, Beth. "Collaborative adaptive filtering for machine learning." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/5598.

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Quantitative performance criteria for the analysis of machine learning architectures and algorithms have long been established. However, qualitative performance criteria, which identify fundamental signal properties and ensure any processing preserves the desired properties, are still emerging. In many cases, whilst offline statistical tests exist such as assessment of nonlinearity or stochasticity, online tests which not only characterise but also track changes in the nature of the signal are lacking. To that end, by employing recent developments in signal characterisation, criteria are deriv

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17

Hawes, Anthony H. "Least squares and adaptive multirate filtering /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FHawes.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, September 2003.<br>Thesis advisor(s): Charles W. Therrien, Roberto Cristi. Includes bibliographical references (p. 45). Also available online.

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18

Sridharan, M. K. "Subband Adaptive Filtering Algorithms And Applications." Thesis, Indian Institute of Science, 2000. https://etd.iisc.ac.in/handle/2005/266.

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In system identification scenario, the linear approximation of the system modelled by its impulse response, is estimated in real time by gradient type Least Mean Square (LMS) or Recursive Least Squares (RLS) algorithms. In recent applications like acoustic echo cancellation, the order of the impulse response to be estimated is very high, and these traditional approaches are inefficient and real time implementation becomes difficult. Alternatively, the system is modelled by a set of shorter adaptive filters operating in parallel on subsampled signals. This approach, referred to as subband adapt

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19

Sridharan, M. K. "Subband Adaptive Filtering Algorithms And Applications." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/266.

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In system identification scenario, the linear approximation of the system modelled by its impulse response, is estimated in real time by gradient type Least Mean Square (LMS) or Recursive Least Squares (RLS) algorithms. In recent applications like acoustic echo cancellation, the order of the impulse response to be estimated is very high, and these traditional approaches are inefficient and real time implementation becomes difficult. Alternatively, the system is modelled by a set of shorter adaptive filters operating in parallel on subsampled signals. This approach, referred to as subband adapt

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20

Hutchinson, James H. "Reduced-order adaptive control." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-05022009-040532/.

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21

Zhang, Jie. "Blind adaptive cyclic filtering and beamforming algorithms /." *McMaster only, 2001.

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22

Torgrimsson, Jan. "Adaptive filtering of VLF data from space." Thesis, KTH, Rymd- och plasmafysik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91544.

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23

Mayyass, Khaled A. "Gradient adaptive digital filtering: Problems and solutions." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/9498.

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The LMS adaptive algorithm has always been attractive to researchers in the field of adaptive signal processing due to its inherent conceptual and implementational simplicity. Unfortunately, this elegant simplicity is undermined by problems associated with the direct use of the LMS algorithm. One of the main disadvantages of the LMS is its relatively slow convergence. We deal with this problem for FIR adaptive filters by proposing two algorithms based on different approaches. The first algorithm relies on the time-varying step size approach. The step size of the algorithm is adjusted according

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24

Khan, Imran. "Personal adaptive web agent for information filtering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq23361.pdf.

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25

Marath, Ajitha T. "Adaptive user modeling for filtering electronic news." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0015/MQ57309.pdf.

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26

Papoulis, Eftychios. "Structures and algorithms for subband adaptive filtering." Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429497.

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27

Fee, D. T. "Dereverberation of acoustic signals via adaptive filtering." Thesis, Queen's University Belfast, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438629.

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28

Talebi, Sayedpouria. "Adaptive filtering algorithms for quaternion-valued signals." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/44568.

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Advances in sensor technology have made possible the recoding of three and four-dimensional signals which afford a better representation of our actual three-dimensional world than the ''flat view'' one and two-dimensional approaches. Although it is straightforward to model such signals as real-valued vectors, many applications require unambiguous modeling of orientation and rotation, where the division algebra of quaternions provides crucial advantages over real-valued vector approaches. The focus of this thesis is on the use of recent advances in quaternion-valued signal processing, such as t

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29

Maloney, Thomas C. "Adaptive Array-Gain Spatial Filtering in Magnetoencephalography." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1273001694.

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30

Sathe, Vinay Padmakar Vaidyanathan P. P. Vaidyanathan P. P. "Multirate adaptive filtering algorithms : analysis and applications /." Diss., Pasadena, Calif. : California Institute of Technology, 1991. http://resolver.caltech.edu/CaltechETD:etd-07122007-103754.

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31

Yang, Jia-Horng. "Robust adaptive control using a filtering action." Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/dissert/2009/Sep/09Sep_Yang_PhD.pdf.

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Dissertation (Ph.D. in Electrical Engineering)--Naval Postgraduate School, September 2009.<br>Dissertation Advisor(s): Cristi, Roberto. "September 2009." Description based on title screen as viewed on November 6, 2009. Author(s) subject terms: low pass filter, L1 adaptive controller, unmodeled dynamics, non-minimum phase, PID feedback, flexible problems. Includes bibliographical references (p. 95-102). Also available in print.

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32

Oddiraju, Swetha. "Improving performance for adaptive filtering with voice applications." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/6271.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on September 29, 2008) Includes bibliographical references.

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33

Almosallam, Ibrahim Ahmad Shang Yi. "A new adaptive framework for collaborative filtering prediction." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5630.

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Thesis (M.S.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 22, 2008) Includes bibliographical references.

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34

Andersson, Mats, and Hans Knutsson. "Adaptive Spatio-temporal Filtering of 4D CT-Heart." Linköpings universitet, Medicinsk informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92725.

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The aim of this project is to keep the x-ray exposure of the patient as low as reasonably achievable while improving the diagnostic image quality for the radiologist. The means to achieve these goals is to develop and evaluate an ecient adaptive ltering (denoising/image enhancement) method that fully explores true 4D image acquisition modes. The proposed prototype system uses a novel lter set having directional lter responses being monomials. The monomial lter concept is used both for estimation of local structure and for the anisotropic adaptive ltering. Initial tests on clinical 4D CT-heart

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35

Ramachandran, Ravi P. "Pitch filtering in adaptive predictive coding of speech." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65345.

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36

Boudreau, Daniel. "Joint time delay estimation and adaptive filtering techniques." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70177.

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This thesis studies adaptive filters for the case in which the main input signal is not synchronized with the reference signal. The asynchrony is modelled by a time-varying delay. This delay has to be estimated and compensated. This is accomplished by designing and investigating joint delay estimation and adaptive filtering algorithms. First, joint maximum likelihood estimator is derived for input Gaussian signals. It is used to define a readily implementable joint estimator, composed of an adaptive delay element and an adaptive filter. Next, two estimation criteria are investigated with that

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37

Oakman, Amere. "Dynamic non-uniform filterbanks for subband adaptive filtering." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406180.

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38

Kim, Dai Il. "Transform layered stochastic gradient-type adaptive filtering structures." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394382.

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39

Jaffer, Sadiq. "Noise adaptive particle filtering for mobile robot applications." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/34557/.

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40

Kabbara, Jad. "Kernel adaptive filtering algorithms with improved tracking ability." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123272.

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In recent years, there has been an increasing interest in kernel methods in areas such as machine learning and signal processing as these methods show strong performance in classification and regression problems. Interesting "kernelized" extensions of many well-known algorithms in artificial intelligence and signal processing have been presented, particularly, kernel versions of the popular online recursive least squares (RLS) adaptive algorithm, namely kernel RLS (KRLS). These algorithms have been receiving significant attention over the past decade in statistical estimation problems, among w

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41

Tam, Pik Shan. "Constrained adaptive filtering and application to sound equalisation." Thesis, University of Southampton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398604.

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42

Ludwig, Jeffrey Thomas 1968. "Low power digital filtering using adaptive approximate processing." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42766.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 167-173).<br>by Jeffrey Thomas Ludwig.<br>Ph.D.

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43

Lampl, Tanja. "Implementation of adaptive filtering algorithms for noise cancellation." Thesis, Högskolan i Gävle, Avdelningen för elektroteknik, matematik och naturvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-33277.

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This paper deals with the implementation and performance evaluation of adaptive filtering algorithms for noise cancellation without reference signal. Noise cancellation is a technique of estimating a desired signal from a noise-corrupted observation. If the signal and noise characteristics are unknown or change continuously over time, the need of adaptive filter arises. In contrast to the conventional digital filter design techniques, adaptive filters do not have constant filter parameters, they have the capability to continuously adjust their coefficients to their operating environment. To de

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44

Burns, Clinton Wyatt. "Development Towards the use of Beamforming and Adaptive Line Enhancers for Audio Detection of Quadcopters." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/84522.

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The usage of Unmanned Aerial Systems (UASs), such as quadcopters and hexacopters, has steadily increased over the past few years in both recreational and commercial use. This increased availability to purchase such systems has also given rise to many safety and security concerns. A common concern is that the misuse of a UAS can cause damage to airplanes and helicopters in and around airports. Another growing concern is the use of UASs for terrorist intentions such as using the UAS as a remote controlled bomb. There is clearly a need to be able to detect the presence of unwanted UASs in restric

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45

Birkett, A. Neil. "Nonlinear adaptive filtering with application to acoustic echo cancellation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ26845.pdf.

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46

Adamo, Ronald C. "Adaptive windows via Kalman filtering in the spectral domain." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/27934.

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47

Silva, Rodrigo Cardoso da. "Filtering and adaptive control for balancing a nanosatellite testbed." reponame:Repositório Institucional da UnB, 2018. http://repositorio.unb.br/handle/10482/34210.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2018.<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) e Fundação de Apoio à Pesquisa do Distrito Federal (FAPDF).<br>O Laboratório de Aplicação e Inovação em Ciências Aeroespaciais (LAICA) da Universidade de Brasília (UnB) está desenvolvendo uma plataforma de testes de nanossatélites capaz de simular condições ambientais vistas no espaço, especialmente no que diz respeito ao campo magnético da

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48

Goertz, Michael Brian 1978. "A reduced complexity adaptive filtering system for directional listening." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86712.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.<br>Includes bibliographical references (leaves 71-72).<br>by Michael Brian Goertz.<br>M.Eng.

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49

Nadakuditi, Rajesh Rao. "A channel subspace post-filtering approach to adaptive equalization." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87613.

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Thesis (S.M.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2002.<br>Includes bibliographical references (p. 151-154).<br>by Rajesh Rao Naduditi.<br>S.M.

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50

Kapanipathi, Pavan. "Personalized and Adaptive Semantic Information Filtering for Social Media." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464541093.

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