On the sparse beamformer design

In designing acoustic broadband beamformers, the complexity can grow significantly when the number of microphones and the filter length increase. It is advantageous if many of the filter coefficients are zeroes so that the implementation can be executed with less computation. Moreover, the size of t...

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Main Authors: Gao, M., Yiu, K., Nordholm, Sven
Format: Journal Article
Published: MDPI Publishing 2018
Online Access:http://hdl.handle.net/20.500.11937/71572
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author Gao, M.
Yiu, K.
Nordholm, Sven
author_facet Gao, M.
Yiu, K.
Nordholm, Sven
author_sort Gao, M.
building Curtin Institutional Repository
collection Online Access
description In designing acoustic broadband beamformers, the complexity can grow significantly when the number of microphones and the filter length increase. It is advantageous if many of the filter coefficients are zeroes so that the implementation can be executed with less computation. Moreover, the size of the array can also be pruned to reduce complexity. These problems are addressed in this paper. A suitable optimization model is proposed. Both array pruning and filter thinning can be solved together as a two-stage optimization problem to yield the final sparse designs. Numerical results show that the complexity of the designed beamformers can be reduced significantly with minimal effect on performance.
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institution Curtin University Malaysia
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publishDate 2018
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spelling curtin-20.500.11937-715722019-01-15T03:01:22Z On the sparse beamformer design Gao, M. Yiu, K. Nordholm, Sven In designing acoustic broadband beamformers, the complexity can grow significantly when the number of microphones and the filter length increase. It is advantageous if many of the filter coefficients are zeroes so that the implementation can be executed with less computation. Moreover, the size of the array can also be pruned to reduce complexity. These problems are addressed in this paper. A suitable optimization model is proposed. Both array pruning and filter thinning can be solved together as a two-stage optimization problem to yield the final sparse designs. Numerical results show that the complexity of the designed beamformers can be reduced significantly with minimal effect on performance. 2018 Journal Article http://hdl.handle.net/20.500.11937/71572 10.3390/s18103536 http://creativecommons.org/licenses/by/4.0/ MDPI Publishing fulltext
spellingShingle Gao, M.
Yiu, K.
Nordholm, Sven
On the sparse beamformer design
title On the sparse beamformer design
title_full On the sparse beamformer design
title_fullStr On the sparse beamformer design
title_full_unstemmed On the sparse beamformer design
title_short On the sparse beamformer design
title_sort on the sparse beamformer design
url http://hdl.handle.net/20.500.11937/71572