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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756266
