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
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
March 2002
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
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, .
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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: 12 Sep 2024 17:01
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Contributors
Author:
S Weiss
Editor:
JG McWhirter
Editor:
IK Proudler
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