Paper Info
Title
An adaptive filter coefficients adjustment algorithm stable against reference signal power fluctuation available for acoustic echo canceller systems
Abstract
The ERLE (echo return loss enhancement) iterates greatly up and down, if the adaptive filter coefficients are continuously adjusted in disregard of the reference signal power fluctuation. This paper presents a method of always maintaining the specified ERLE, even when the adjustment is continued in voiceless noise terms. The method is based on the ‘summatìonal’ NLMS (normalized least mean square) algorithm in which the coefficients are updated after the reference signal norm, and the product of the residual echo and the reference signal have been summed up for continuos iterations (a block). The SNLMS algorithm can keep the ERLE at the specified level, if the coefficients are updated after the summed norm has been amounted to a value which was evaluated from a given surrounding noise power.
Year
Venue
Keywords
1996
EUSIPCO
signal to noise ratio,convergence,speech,estimation
Field
DocType
ISBN
Least mean squares filter,Convergence (routing),Residual,Return loss,Noise power,Normalization (statistics),Signal-to-noise ratio,Algorithm,Iterated function,Mathematics
Conference
978-888-6179-83-6
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
kensaku fujii111217.46
Juro Ohga26839.77