DocumentCode
1274597
Title
An adaptive technique for determining a reduced model for a system
Author
Etter, D.M. ; Jiang, Jean
Author_Institution
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
Volume
39
Issue
1
fYear
1991
fDate
1/1/1991 12:00:00 AM
Firstpage
200
Lastpage
202
Abstract
A reduced or sparse system model is discussed that will contain only the most significant components, as opposed to a complete finite impulse response (FIR) model which may not be very accurate with the requirement of only a few components. The technique presented uses an adaptive delay filter to provide the sparse model and compares it to the model obtained with the standard adaptive filter
Keywords
adaptive filters; filtering and prediction theory; adaptive delay filter; adaptive technique; impulse response; reduced model; sparse system model; Acoustic signal detection; Adaptive filters; Delay; Filtering; Finite impulse response filter; Nonlinear filters; Signal processing; Speech processing; Statistics; Tail;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.80782
Filename
80782
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