Abstract/Details

Frequency-domain FIR and IIR adaptive filters


1988 1988

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Abstract (summary)

A discussion of the adaptive filter relating to its convergence characteristics and the problems associated with disparate eigenvalues is presented. This is used to introduce the concept of proportional convergence. The use of the FFT to implement fast convolution and FIR adaptive filters is presented. It is shown that the several frequency-domain filters currently in the literature are special cases of a general frequency-domain block adaptive filter. An analysis of the convergence of the Dentino filter for the case of two sinusoids is presented. In connection with this a closed form expression for the DFT of a general sinusoid and its derivation are given. A novel approach is used to analyze the convergence characteristics of block frequency-domain adaptive filters. This leads to a development showing how the frequency-domain FIR adaptive filter is easily modified to provide proportional convergence. These ideas are extended to the IIR adaptive filter. A new algorithm for high speed IIR convolution using the FFT is presented. This structure is developed into a block frequency-domain IIR adaptive filter and the idea of proportional convergence is applied. Experimental results illustrating proportional convergence in both FIR and IIR frequency-domain block adaptive filters is presented.

Indexing (details)


Subject
Electrical engineering
Classification
0544: Electrical engineering
Identifier / keyword
Applied sciences
Title
Frequency-domain FIR and IIR adaptive filters
Author
Lynn, Douglas Walter
Number of pages
207
Publication year
1988
Degree date
1988
School code
0022
Source
DAI-B 49/05, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
Advisor
Chabries, Douglas M.
University/institution
Brigham Young University
University location
United States -- Utah
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
8811746
ProQuest document ID
303537265
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/303537265
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