DocumentCode
336218
Title
On H∞ optimal signal reconstruction in noisy filter banks
Author
Vikalo, H. ; Hassibi, B. ; Kailath, T.
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
Volume
3
fYear
1999
fDate
15-19 Mar 1999
Firstpage
1493
Abstract
We study the design of synthesis filters in noisy filter bank systems using an H∞ point of view. For unitary analysis polyphase matrices we obtain an explicit expression for the minimum achievable disturbance attenuation. Numerical examples and comparisons with existing methods are also included
Keywords
H∞ optimisation; channel bank filters; filtering theory; matrix algebra; signal reconstruction; H∞ estimation; minimum achievable disturbance attenuation; noisy filter banks; numerical examples; optimal signal reconstruction; synthesis filters; unitary analysis polyphase matrices; Channel bank filters; Contracts; Delay estimation; Filter bank; Filtering; Kalman filters; Quantization; Signal reconstruction; Signal synthesis; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location
Phoenix, AZ
ISSN
1520-6149
Print_ISBN
0-7803-5041-3
Type
conf
DOI
10.1109/ICASSP.1999.756266
Filename
756266
Link To Document