Title :
Spectral domain MMSE estimators for non-uniform system modeling subband adaptive filters
Author :
Griesbach, Jacob D. ; Lightner, Michael ; Etter, Delores M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
Non-uniform subband adaptive filters have been suggested for system modeling/echo cancellation applications due to their increased flexibility. This research derives spectral domain minimum mean square (MMSE) subband error estimators for system modeling non-uniform adaptive filters. With respect to a given filterbank, MMSE estimators are presented for infinite length causal (IIR), and infinite non-causal adaptive filters which can be used as a lower bound for finite length (FIR) adaptive filters. These error estimates can be utilized to estimate and compare the performance of non-uniform subband adaptive filters.
Keywords :
FIR filters; IIR filters; adaptive filters; adaptive signal processing; channel bank filters; filtering theory; least mean squares methods; parameter estimation; spectral analysis; FIR adaptive filters; IIR adaptive filter; echo cancellation; error estimates; filterbank; finite length adaptive filters; infinite length causal adaptive filters; infinite noncausal adaptive filters; lower bound; minimum mean square estimator; nonuniform system modeling subband adaptive filters; performance; spectral domain MMSE subband error estimators; Adaptive filters; Computer errors; Convergence; Echo cancellers; Filter bank; Finite impulse response filter; Jacobian matrices; Modeling; Optical reflection; Speech;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.911238
