DocumentCode
1365209
Title
Analysis of momentum adaptive filtering algorithms
Author
Sharma, Rajesh ; Sethares, William A. ; Bucklew, James A.
Author_Institution
ERIM Int., Ann Arbor, MI, USA
Volume
46
Issue
5
fYear
1998
fDate
5/1/1998 12:00:00 AM
Firstpage
1430
Lastpage
1434
Abstract
This article analyzes the momentum LMS algorithm and other momentum algorithms using asymptotic techniques that provide information regarding the almost sure behavior of the parameter estimates and their asymptotic distribution. The analysis does not make any assumptions on the autocorrelation function of the input process
Keywords
adaptive filters; adaptive signal processing; filtering theory; least mean squares methods; parameter estimation; prediction theory; asymptotic distribution; asymptotic techniques; autocorrelation function; first-order linear prediction; input process; momentum LMS algorithm; momentum adaptive filtering algorithms; parameter estimates; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Filter bank; Filtering algorithms; Finite impulse response filter; Mirrors; Prototypes; Signal processing; Signal processing algorithms;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.668805
Filename
668805
Link To Document