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On H^∞ optimal signal reconstruction in noisy filter banks

Vikalo, H. and Hassibi, B. and Kailath, T. (1999) On H^∞ optimal signal reconstruction in noisy filter banks. In: 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1999. Proceedings. Vol.3. IEEE , Piscataway, NJ, pp. 1493-1496. ISBN 0-7803-5041-3.

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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.

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Additional Information:© 1999 IEEE. This work was supported in part by DARPA under contract F49620-95-1-0525-P00001, the Joint Service Electronics Program at Stanford under contract DAAH04-94-G-0058-P3, NSF under contract ECS-529325, and AFOSR under grant F49620-951-0525.
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Defense Advanced Research Projects Agency (DARPA)F49620-95-1-0525-P00001
Joint Service Electronics Program at StanfordDAAH04-94-G-0058-P3
Air Force Office of Scientific Research (AFOSR)F49620-951-0525
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:55309
Deposited By: Shirley Slattery
Deposited On:27 Feb 2015 18:05
Last Modified:10 Nov 2021 20:44

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