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
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;
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
DOI :
10.1109/ICECS.1996.584514
