DocumentCode
285029
Title
FSF (frequency sampling filter) bank for adaptive system identification
Author
Kiya, Hitoshi ; Yamaguchi, Satoshi
Author_Institution
Fac. of Technol., Tokyo Metropolitan Univ., Japan
Volume
4
fYear
1992
fDate
23-26 Mar 1992
Firstpage
261
Abstract
Some researchers have explored the use of filter banks to improve the performance of adaptive algorithms. However, some of these approaches have shown degradation in performance. A new class of filter bank (ideal orthogonal filter bank) is defined, which enables one to avoid the degradation, even if one chooses critical subsampling in adaptive filtering. A filter bank (pseudo OFB) whose frequency response is the same as that of the ideal OFB at discrete frequency points is proposed. As a result, using the proposed filter bank, one can identify an unknown system at the discrete frequency points
Keywords
adaptive filters; digital filters; filtering and prediction theory; identification; FSF bank; adaptive system identification; frequency sampling filter bank; ideal orthogonal filter bank; pseudo OFB; Adaptive filters; Adaptive systems; Cities and towns; Degradation; Filter bank; Frequency; Sampling methods; State feedback; System identification; Time invariant systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226436
Filename
226436
Link To Document