DocumentCode
3096456
Title
Adaptive deconvolution and system identification using higher order moments
Author
Rozario, Noel ; Papoulis, Athanasios
Author_Institution
Polytech. Univ., Farmingale, NY, USA
fYear
1990
fDate
10-12 Oct. 1990
Firstpage
207
Lastpage
211
Abstract
Introduces a new method to adaptively deconvolve a linear process. The problem is to obtain the unknown linear system and the underlying white-noise process in a simple adaptive manner. The solution is based on second and higher order moments, and is exceedingly easy to implement. The method is radically different from the familiar gradient-based schemes used in adaptive filtering.<>
Keywords
adaptive filters; filtering and prediction theory; identification; statistical analysis; white noise; adaptive filtering; higher order moments; linear process; system identification; white-noise process; Adaptive filters; Adaptive systems; Deconvolution; Equalizers; Filtering; Finite impulse response filter; Linear systems; Random processes; System identification; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location
Rochester, NY, USA
Type
conf
DOI
10.1109/SPECT.1990.205576
Filename
205576
Link To Document