DocumentCode
2620917
Title
Time scale separation techniques for adaptive filtering
Author
Hull, Andrew W. ; Jenkins, W. Kenneth
Author_Institution
Illinois Univ., Urbana, IL, USA
fYear
1990
fDate
1-3 May 1990
Firstpage
805
Abstract
Direct-sequence spread-spectrum (DS/SS) and interpolation techniques are applied to adaptive digital signal processing. These techniques are shown to facilitate rapid convergence of adaptive algorithms with respect to the rate of the data being processed by providing more iterations of the adaptive algorithm between incoming data samples. Simulations are presented to demonstrate the ability of DS/SS and interpolation techniques to improve the rate of convergence of adaptive algorithms
Keywords
adaptive filters; computerised signal processing; digital filters; interpolation; spread spectrum communication; adaptive filtering; convergence; digital signal processing; incoming data samples; interpolation techniques; time scale separation techniques; Adaptive algorithm; Adaptive filters; Adaptive systems; Bandwidth; Convergence; Equalizers; Interpolation; Least squares approximation; Signal processing algorithms; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/ISCAS.1990.112201
Filename
112201
Link To Document