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Adaptive filters and equalisers

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Published by Kluwer Academic Publishers in Boston .
Written in English


  • Adaptive filters.,
  • Equalizers (Electronics)

Book details:

Edition Notes

Statementby Bernard Mulgrew and Colin F.N. Cowan.
SeriesThe Kluwer international series in engineering and computer science.
ContributionsCowan, C. F. N.
LC ClassificationsTK7872.F5 M83 1988
The Physical Object
Paginationxv, 194 p. :
Number of Pages194
ID Numbers
Open LibraryOL2042066M
ISBN 100898382858
LC Control Number88018799

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Get this from a library! Adaptive Filters and Equalisers. [Bernard Mulgrew; C F N Cowan] -- The work presented in this text relates to research work in the general area of adaptive filter theory and practice which has been carried out at the Department of Electrical Engineering, University. An adaptive filter is a digital filter that has self-adjusting characteristics. It is capable of adjusting its filter coefficients automatically to adapt the input signal via an adaptive algorithm. Adaptive filters play an important role in modern digital signal processing (DSP) products in areas such as telephone echo cancellation, noise cancellation, equalization of communications channels. This book develops the mathematical theory of linear adaptive filters with finite impulse response. Examples and computer experiment applications illustrate the theory and principles. The second edition has also been restructured with an introduction followed by four parts: discrete-time wide-sense station stochastic process; linear optimum filtering; linear FIR adaptive filtering; limitations.   This book presents a concise overview of adaptive filtering, covering as many as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters.

A quantitative performance comparison of the proposed adaptive recursive LMS filter and the adaptive transversal LMS filter of Widrow () is presented; both filters are used as adaptive time-domain equalizers for high-speed data transmission. Another adaptive filtering technique is a generalized filter that estimates correlated nonlinear noise [1,27,28] and compensates for it using a time-varying linear filter as described in Eq. (). Linear Filters 1 Adaptive Filters 2 Adaptive Filter Structures 3 Adaptation Approaches 7 Approach Based on Wiener Filter Theory 7 Method of Least-Squares 8 Real and Complex Forms of Adaptive Filters 9 Applications 9 Modeling 9 Inverse Modeling 11 Linear Prediction 15 Interference. An adaptive equalizer can compensate for in-channel amplitude- and phase-versus-frequency impairments. Adaptive equalizers use sophisticated algorithms to derive coefficients for an equalizer solution “on the fly”—in effect creating a digital filter with essentially the opposite complex frequency response of the impaired channel.

Cite this chapter as: Mulgrew B., Cowan C.F.N. () Adaptive FIR Filter Algorithms. In: Adaptive Filters and Equalisers. The Kluwer International Series in Engineering and Computer Science (VLSI, Computer Architecture and Digital Signal Processing), vol Hi all, I am new to equalizer and adaptive filter. My tutor told me to minimize a DFE(decision feedback equalizer)'s area while keep its timing. I got a book named "Pipelined Adaptive Digital Filters" by Parhi. But the book seems aim at high speed. Can you recommend some book or paper on this subject?   Adaptive Filters allows readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts―each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer Reviews: 8.   Time nature of adaptive linear equalizer Adaptive filter assumes that the channel is time variant and tries to design an equalizer filter whose coefficients are also time variant according to the change of the channel and also try to eliminate ISI and additive noise at each time.