Title :
GMDFα with adaptive reconstruction filters and zero throughput delay
Author :
Lariviere, J. ; Goubran, R.
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
Abstract :
With reduction of the block size (increasing the number of subfilters) regular generalized multi-delay frequency domain adaptive filter (GMDFα) can achieve low throughput delay at the expense of the system performance. In situations where zero delay is desirable, we propose a new method which is not dependent on the block size. In addition, by using an adaptive reconstruction filter, further performance gains can be achieved with minimal additional computation complexity. Results from experiments performed in a conference room show an increase in the average echo return loss enhancement (ERLE) of >2.5 dB for acoustic echo cancellation over the traditional moving average reconstruction filter
Keywords :
acoustic signal processing; adaptive filters; adaptive signal processing; delays; echo suppression; filtering theory; frequency-domain analysis; signal reconstruction; ERLE; acoustic echo cancellation; adaptive reconstruction filters; average echo return loss enhancement; block size reduction; computation complexity; conference room; experiments; generalized multi-delay frequency domain adaptive filter; moving average reconstruction filter; subfilters; system performance; zero throughput delay; Adaptive filters; Band pass filters; Convergence; Delay estimation; Echo cancellers; Filtering; Frequency domain analysis; System performance; Throughput; Vectors;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.679640