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Performance Limitations of Subband Adaptive Filters

Performance Limitations of Subband Adaptive Filters
Performance Limitations of Subband Adaptive Filters
In this paper, we evaluate the performance limitations of subband adaptive filters in terms of achievable final error terms. The limiting factors are the aliasing level in the subbands, which poses a distortion and thus presents a lower bound for the minimum mean squared error in each subband, and the distortion function of the overall filter bank, which in a system identification setup restricts the accuracy of the equivalent fullband model. Using a generalized DFT modulated filter bank for the subband decomposition, both errors can be stated in terms of the underlying prototype filter. If a source model for coloured input signals is available, it is also possible to calculate the power spectral densities in both subbands and reconstructed fullband. The predicted limits of error quantities compare favourably with simulations presented.
1245-1248
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Stenger, A
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Rabenstein, R
4ac34477-f962-446e-b47d-0e66df88935c
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Stenger, A
9dba20db-8ca7-41fe-8b30-dad4ab2f93c5
Rabenstein, R
4ac34477-f962-446e-b47d-0e66df88935c

Weiss, S, Stewart, R W, Stenger, A and Rabenstein, R (1998) Performance Limitations of Subband Adaptive Filters. 9th European Signal Processing Conference. pp. 1245-1248 .

Record type: Conference or Workshop Item (Other)

Abstract

In this paper, we evaluate the performance limitations of subband adaptive filters in terms of achievable final error terms. The limiting factors are the aliasing level in the subbands, which poses a distortion and thus presents a lower bound for the minimum mean squared error in each subband, and the distortion function of the overall filter bank, which in a system identification setup restricts the accuracy of the equivalent fullband model. Using a generalized DFT modulated filter bank for the subband decomposition, both errors can be stated in terms of the underlying prototype filter. If a source model for coloured input signals is available, it is also possible to calculate the power spectral densities in both subbands and reconstructed fullband. The predicted limits of error quantities compare favourably with simulations presented.

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Published date: September 1998
Additional Information: Organisation: EURASIP Address: Rhodes, Greece
Venue - Dates: 9th European Signal Processing Conference, 1998-09-01
Organisations: Electronics & Computer Science

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Local EPrints ID: 251917
URI: http://eprints.soton.ac.uk/id/eprint/251917
PURE UUID: 166489ac-ac42-43ec-b1ba-65da1dc6c2ba

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Date deposited: 08 Nov 2000
Last modified: 16 Dec 2019 20:47

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