TY - GEN
T1 - Beamformer design with sparse filters
AU - Gao, Ming Jie
AU - Yiu, Ka Fai Cedric
PY - 2015/9/10
Y1 - 2015/9/10
N2 - In designing broadband beamformers, when the number of microphone increases and the filters are long, the complexity can grow significantly. It is advantageous if many of the filter coefficients are zeroes so that the implementation can be executed with less computation. In this paper, the sparse design of beamformers is studied. We employ the penalty decomposition method to constrain the l0-norm of the filters and investigate the performance of the designed frequency responses. Numerical results show that sparsity of the designed beamformers can be reduced without affecting very much of the performance.
AB - In designing broadband beamformers, when the number of microphone increases and the filters are long, the complexity can grow significantly. It is advantageous if many of the filter coefficients are zeroes so that the implementation can be executed with less computation. In this paper, the sparse design of beamformers is studied. We employ the penalty decomposition method to constrain the l0-norm of the filters and investigate the performance of the designed frequency responses. Numerical results show that sparsity of the designed beamformers can be reduced without affecting very much of the performance.
KW - penalty decomposition
KW - sparse beamformer design
UR - http://www.scopus.com/inward/record.url?scp=84961348557&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2015.7252056
DO - 10.1109/ICDSP.2015.7252056
M3 - Conference article published in proceeding or book
AN - SCOPUS:84961348557
T3 - International Conference on Digital Signal Processing, DSP
SP - 1135
EP - 1137
BT - 2015 IEEE International Conference on Digital Signal Processing, DSP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Digital Signal Processing, DSP 2015
Y2 - 21 July 2015 through 24 July 2015
ER -