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Adaptive Notch FilterHuang, Yuchen 14 January 1994 (has links)
The thesis presents a new adaptive notch filter (ANF) algorithm that is more accurate and efficient and has a faster convergent rate than previous ANF algorithms. In 1985, Nehorai designed an infinite impulse response (UR) ANF algorithm that has many advantages over previous ANF algorithms. It requires a minimal number of parameters with constrained poles and zeros. It has higher stability and sharper notches than any ANF algorithm until now. Because of the special filter structure and the recursive prediction error (RPE) method, however, the algorithm is very sensitive to the initial estimate of the filter coefficient and its covariance. Furthermore, convergence to the true filter coefficient is not guaranteed since the error-performance surface of the filter has its global minimum lying on a fairly flat region. We propose a new ANF algorithm that overcomes the convergence problem. By choosing a smaller notch bandwidth control parameter that makes the error-performance surface less flat, we can more easily detect a global minimum. We also propose a new convergence criterion to be used with the algorithm and a self-adjustment feature to reset the initial estimate of the filter coefficient and its covariance. This results in guaranteed convergence with more accurate results and more efficient computations than previous ANF algorithms.
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Convergence study for adaptive allpass filteringOprisan, Paul 06 April 1998 (has links)
Adaptive filtering may be applied in areas where an optimal filtering algorithm
may not be known a-priori and where the filtering operation may be non-stationary. This
field, or more generally, the field of adaptive systems, is one which may be regarded as
mature, having been the subject of considerable research effort in the areas of control and
signal processing for almost four decades.
DFE (decision feedback equalization) in various forms has been proposed for detection
on magnetic recording channel. An allpass filter is an alternative to the FIR (finite
impulse response) forward equalizer which is normally implemented with DFE. This is
because the allpass filter is a lower power and complexity alternative, though its behavior
and performance are not very well understood yet.
Here, an allpass structure implemented as first and second order IIR (infinite
impulse response) filters is examined. Convergence for the LMS (least mean square) adaptation
algorithm is studied and, moreover, some convergence conditions and bounds are
developed, similarly to the well known FIR case. This thesis provides an useful analytical
study of convergence of IIR adaptive filtering. This is accomplished by a systematic approximation
of the covariance terms of the adaptive coefficients. The range of the step-size
parameter of the LMS algorithm is developed under some simplifying assumptions. All
the results obtained are verified by simulation (Matlab and C routines are used). / Graduation date: 1998
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Improved analysis and design of efficient adaptive transversal filtering algorithms with particular emphasis on noise, input and channel modelingZhou, Yi, January 2006 (has links)
Thesis (Ph. D.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.
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Robust statistics based adaptive filtering algorithms for impulsive noise suppressionZou, Yuexian. January 2000 (has links)
Thesis (Ph. D.)--University of Hong Kong, 2001. / Includes bibliographical references.
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Theory and applications of the estimated spectrum adaptive postfilterLinares, Irving 05 1900 (has links)
No description available.
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Design synthesis of application-specification ICs for DSPBen Romdhane Mohamed Salah 12 1900 (has links)
No description available.
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Design methodology of pre-emphasis filtering for digital data communications /Li, Miao, January 1900 (has links)
Thesis (M. App. Sc.)--Carleton University, 2004. / Includes bibliographical references (p. 78-80). Also available in electronic format on the Internet.
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Combined beamforming and noise cancellation /Dmochowski, Jacek January 1900 (has links)
Thesis (M.App.Sc.) - Carleton University, 2005. / Includes bibliographical references (p. 87-88). Also available in electronic format on the Internet.
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Stimulus artifact reduction in somatosensory evoked potential measurements using velocity filters /Yazdani, Nabil, January 1900 (has links)
Thesis (M.App.Sc.) - Carleton University, 2006. / Includes bibliographical references (p. 108-112). Also available in electronic format on the Internet.
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Estimation of a wideband fading HF channel using modified adaptive filtering and center clipping techniquesMatherne, Marcus McLenn. January 1994 (has links)
Thesis (M.S.)--Ohio University, August, 1994. / Title from PDF t.p.
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