DocumentCode
840998
Title
The complex subband decomposition and its application to the decimation of large adaptive filtering problems
Author
Reilly, James P. ; Wilbur, Matt ; Seibert, Michael ; Ahmadvand, Nima
Author_Institution
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Volume
50
Issue
11
fYear
2002
fDate
11/1/2002 12:00:00 AM
Firstpage
2730
Lastpage
2743
Abstract
We show that a near perfect reconstruction (NPR) M-channel filterbank with a diagonal system inserted between the analysis and synthesis filterbanks may be used to decompose a finite impulse response (FIR) system of order L into M complex subband components, each of order L/K, where K is the downsampling rate. This decomposition is at the expense of using complex arithmetic for the subband processing. The theory surrounding the proposed filterbank structure leads to a new understanding of subbanded adaptive filtering implementations. It also leads naturally to a delayless subbanded adaptive filter scheme. Using conditions on the analysis and synthesis filters, the formulas for the subband components and their respective properties are developed. Simulation results for an acoustic echo cancellation (AEC) example are given to support the developed theory.
Keywords
adaptive filters; adaptive signal processing; channel bank filters; digital arithmetic; digital filters; echo suppression; filtering theory; network synthesis; signal reconstruction; signal sampling; FIR system; acoustic echo cancellation; analysis filterbanks; analysis filters; complex arithmetic; complex subband decomposition; delayless subbanded adaptive filter; downsampling rate; finite impulse response system; large adaptive filtering problems decimation; near perfect reconstruction filterbank; simulation results; subband components; subband processing; synthesis filterbanks; synthesis filters; Acoustic devices; Adaptive filters; Arithmetic; Delay; Echo cancellers; Filter bank; Finite impulse response filter; Frequency response; Microphones; Telephony;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2002.804068
Filename
1041031
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