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
fDate :
11/1/2002 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2002.804068