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
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;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN :
0-7803-8104-1
DOI :
10.1109/ACSSC.2003.1291974
