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Analysis and Fast Implementation of Oversampled Modulated Filter Banks

Analysis and Fast Implementation of Oversampled Modulated Filter Banks
Analysis and Fast Implementation of Oversampled Modulated Filter Banks
Oversampled modulated filter banks (OSFBs) are popularly employed for a number of applications such as acoustic echo cancellation in order to reduce the processing complexity of a signal processing algorithm. Hence, an efficient implementation of OSFBs themselves is mandatory. In this paper, a polyphase description is used to remove redundancies in the filter operations and to factorise the OSFB into filter components depending on the prototype filter, and the modulating transform. Based on a state-space representation of this derived polyphase factorisation, signal flow graphs can be obtained which permit a very simple and efficient OSFB implementation. The analysis is performed for a number of different classes of OSFBs, and a comparison to existing methods is drawn.
0-19-850734-8
263-74
Oxford University Press
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
McWhirter, JG
Proudler, IK
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
McWhirter, JG
Proudler, IK

Weiss, S (2002) Analysis and Fast Implementation of Oversampled Modulated Filter Banks. In, McWhirter, JG and Proudler, IK (eds.) Mathematics in Signal Processing. Mathematics in Signal Processing V (01/04/02) Oxford University Press, pp. 263-74.

Record type: Book Section

Abstract

Oversampled modulated filter banks (OSFBs) are popularly employed for a number of applications such as acoustic echo cancellation in order to reduce the processing complexity of a signal processing algorithm. Hence, an efficient implementation of OSFBs themselves is mandatory. In this paper, a polyphase description is used to remove redundancies in the filter operations and to factorise the OSFB into filter components depending on the prototype filter, and the modulating transform. Based on a state-space representation of this derived polyphase factorisation, signal flow graphs can be obtained which permit a very simple and efficient OSFB implementation. The analysis is performed for a number of different classes of OSFBs, and a comparison to existing methods is drawn.

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Published date: March 2002
Additional Information: Chapter: 23 Organisation: Institute of Mathematics and its Applications
Venue - Dates: Mathematics in Signal Processing V, 2002-04-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259147
URI: http://eprints.soton.ac.uk/id/eprint/259147
ISBN: 0-19-850734-8
PURE UUID: bbf11124-ec58-481c-8497-5d50889c7a55

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Date deposited: 13 Mar 2004
Last modified: 14 Mar 2024 06:19

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Contributors

Author: S Weiss
Editor: JG McWhirter
Editor: IK Proudler

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