文件名称:beamforming-using-convex-optimization
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- 上传时间:2017-05-04
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The goal of this thesis is to use convex optimization for a beamformer.
By using convex optimization we observed the signal in desired direction and also reduced
the error in the stopband regions for Least-square norm and Innity norm. The simulation results show that convex optimization is exible to be used for narrowband beamformer with
minimum error in the stopband region.
By using convex optimization we observed the signal in desired direction and also reduced
the error in the stopband regions for Least-square norm and Innity norm. The simulation results show that convex optimization is exible to be used for narrowband beamformer with
minimum error in the stopband region.
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下载文件列表
Beam.m
DoublePassBGUI.m
DsrfiltDsngGui.m
S.m
Untitled.m
Untitled2.m
Untitled3.m
Untitled4.m
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