DocumentCode
1445275
Title
Avoiding slow band-edge convergence in subband echo cancelers
Author
Duttweiler, Donald L.
Volume
49
Issue
3
fYear
2001
fDate
3/1/2001 12:00:00 AM
Firstpage
593
Lastpage
602
Abstract
Subband echo cancelers decompose their input signals into frequency bands and then do echo canceling on a per-band basis. Such structures have both computational and algorithmic advantages over conventional full-band structures. However, many implementations have been found to suffer from slow convergence at band edges, that is, at frequencies carried roughly equally by two adjacent subbands. A poorly conditioned correlation matrix with eigenvalues approaching zero is generally cited as the culprit. One possible solution to the poor band-edge convergence problem is a scheme dubbed postfiltering by Morgan (1995) and De Leon (1995). Under postfiltering, the slowly converging eigenmodes continue to be excited, but their energy is removed from the final output. An alternative solution developed here makes the subband analysis filter for the reference signal slightly broader in spectrum than the analysis filter for the echo. With unequal analysis filtering, it is possible to avoid eliciting the bad eigenmodes in the first place. There are important practical advantages for unequal analysis filtering. Extreme care must be exercised in filter design. However, given a proper understanding of requirements, it is possible to synthesize reasonable-length FIR filters with entirely satisfactory performance
Keywords
FIR filters; acoustic signal processing; channel bank filters; convergence of numerical methods; correlation methods; echo suppression; filtering theory; matrix algebra; FIR filters; acoustic signal processing; band-edge convergence problem; correlation matrix; eigenmodes; eigenvalues; filter design; filterbanks; frequency bands; input signal decomposition; performance; postfiltering; reference signal; subband analysis filter; subband echo cancelers; unequal analysis filtering; Adaptive filters; Convergence; Eigenvalues and eigenfunctions; Filter bank; Filtering; Finite impulse response filter; Frequency; Signal analysis; Signal processing algorithms; Signal synthesis;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.905886
Filename
905886
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