Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80280
Title: On the sparse beamformer design
Authors: Gao, MJ
Yiu, KFC 
Nordholm, S
Keywords: Beamformer design
Signal enhancement
Array pruning
Sparse filters
Issue Date: 2018
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Sensors, Oct. 2018, v. 18, no. 10, 3536, p. 1-12 How to cite?
Journal: Sensorsonline only 
Abstract: 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.
URI: http://hdl.handle.net/10397/80280
EISSN: 1424-8220
DOI: 10.3390/s18103536
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Gao, M.J., Yiu, K.F.C., & Nordholm, S. (2018). On the sparse beamformer design. Sensors, 18 (10), 3536, p. 1-12 is available at https://dx.doi.org/10.3390/s18103536
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