DocumentCode
3463061
Title
Adaptive filtering and periodic inputs: conditions for an exponential divergence
Author
Chamzas, Christodoulos
Author_Institution
Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece
Volume
2
fYear
1996
fDate
13-16 Oct 1996
Firstpage
844
Abstract
Adaptive filters find applications in many areas of signal processing and echo cancellation is one of them. It has been observed that, due to non-linearities inherent in the implementation, echo cancelers can diverge when their input is periodic. In this paper we examine the behaviour of adaptive filters in the presence of periodic inputs and provide a theoretical explanation and conditions for a potential exponential divergence
Keywords
adaptive filters; echo suppression; filtering theory; adaptive filtering; echo cancellation; exponential divergence; nonlinearities; periodic inputs; signal processing; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Convolution; Differential equations; Finite impulse response filter; Least squares approximation; Nonlinear equations; Signal processing algorithms; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location
Rodos
Print_ISBN
0-7803-3650-X
Type
conf
DOI
10.1109/ICECS.1996.584514
Filename
584514
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