DocumentCode
1098691
Title
System identification techniques for adaptive signal processing
Author
Friedlander, Benjamin
Author_Institution
Systems Control Technology, Inc., Palo Alto, CA
Volume
30
Issue
2
fYear
1982
fDate
4/1/1982 12:00:00 AM
Firstpage
240
Lastpage
246
Abstract
Many problems in adaptive filtering can be approached from the point of view of system identification. The recursive maximum likelihood algorithm is proposed for estimating the parameters of the signal model. The parameter estimates are then used to form an adaptive infinite impulse response filter. Several examples are discussed including: adaptive line enhancement, adaptive deconvolution, adaptive noise cancelling, and adaptive time delay estimation.
Keywords
Adaptive filters; Adaptive signal processing; Deconvolution; IIR filters; Maximum likelihood estimation; Noise cancellation; Parameter estimation; Recursive estimation; Signal processing algorithms; System identification;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/TASSP.1982.1163877
Filename
1163877
Link To Document