DocumentCode
409672
Title
LMS adaptive filtering with multirate observations
Author
Hawes, Anthony H. ; Therrien, C.W.
Author_Institution
Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA, USA
Volume
1
fYear
2003
fDate
9-12 Nov. 2003
Firstpage
567
Abstract
This paper addresses the problem of adaptive filtering using the LMS method when two or more observation sequences are available with differing sampling rates. In such cases the steady-state behavior of the filters would be periodically time-varying. We develop the form of the algorithm and examine the performance of the algorithm in the context of interference suppression for narrowband and broadband sources of interference.
Keywords
adaptive filters; interference suppression; least mean squares methods; signal sampling; interference suppression; least mean square adaptive filtering; multirate observation; observation sequence; steady-state behavior; Adaptive filters; Electronic mail; Equations; Filtering algorithms; Finite impulse response filter; Interference suppression; Least squares approximation; Nonlinear filters; Sampling methods; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN
0-7803-8104-1
Type
conf
DOI
10.1109/ACSSC.2003.1291974
Filename
1291974
Link To Document