DocumentCode :
3073366
Title :
Adaptive algorithms that restore signal properties
Author :
Treichler, John
Author_Institution :
Cornell University, Ithaca, NY
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
203
Lastpage :
206
Abstract :
This paper introduces the concept of designing adaptive filtering algorithms to exploit the presence of some invariant property possessed by a signal of interest. If this invariant property is disturbed by the interference or dispersion which degrades the signal´s quality, and if the disturbance can be sensed, then it can be used to guide an adaptive algorithm. Certain analytic requirements on this type of algorithm are discussed as well as their relation to well-known least squares and MSE algorithms.
Keywords :
Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Degradation; Digital filters; Finite impulse response filter; Iterative algorithms; Least squares methods; Signal restoration; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172530
Filename :
1172530
Link To Document :
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