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Noise reduction design of perfect reconstruction oversampled filter banks

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conference contribution
posted on 2024-07-11, 12:17 authored by Li Chai, Jingxin ZhangJingxin Zhang, Cishen Zhang, Edoardo Mosca
This paper studies the noise reduction design problem for oversampled filter banks (FBs) with perfect reconstruction (PR) constraint. Both the optimal design and worst case design are considered, where the former method caters for the noise with known power spectral density (PSD) and the latter one for the noise with unknown PSD. Explicit formulae involving only algebraic Riccati equation and matrix manipulations are provided for the general (IIR or FIR) oversampled PR FBs.

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ISBN

142440469X

ISSN

1520-6149

Journal title

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Conference name

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

Volume

3

Publisher

IEEE

Copyright statement

Copyright © 2006 IEEE. The published version is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in oTher works must be obtained from The IEEE.

Language

eng

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