Title :
Echo cancellation with the gamma filter
Author :
Palkar, Malhar ; Principe, Jose C.
Author_Institution :
Comput. Neuroeng. Lab., Florida Univ., Gainesville, FL, USA
Abstract :
Compares the Gamma filter with other feedback and feedforward structures in the problem of echo cancellation for digital data communication in the subsciber loop. The authors show that the IIR structures perform better than the corresponding FIR structures, and that the Gamma filter adapts faster than the cascade structure. They also show how the Gamma filter can be adapted using RLS for the filter weights and block LMS for the recursive parameter
Keywords :
IIR filters; adaptive filters; digital communication; digital filters; echo suppression; feedforward; least mean squares methods; least squares approximations; recursive filters; subscriber loops; FIR structures; Gamma filter; IIR structures; block least mean squares; cascade structure; echo cancellation; feedback structures; feedforward structures; filter weights; recursive least squares; recursive parameter; Adaptive filters; Echo cancellers; Finite impulse response filter; IIR filters; Laboratories; Neural engineering; Nonlinear filters; Resonance light scattering; Transfer functions; Transversal filters;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.390013
