A method based on L-BFGS to solve constrained complex-valued ICA
Complex-valued independent component analysis (ICA) is a celebrated method in blind separation of complex-valued signals. In this paper, we propose to transform the constrained optimization problems of complex-valued ICA into unconstrained optimization problems which can be solved by limited-memory...
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Main Authors: | , , |
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其他作者: | |
格式: | Conference or Workshop Item |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/138246 |
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機構: | Nanyang Technological University |
語言: | English |