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- W2519698273 abstract "In this thesis, we shoe, that a blind separator/equalizer can be obtained without using any high order including second order statistical information on the input by formulating the blind source separation/channel equalization problem into a quadratic optimization with binary constraints. Then, efficient e-approximation algorithms are presented and applied to find the separator/equalizer coefficients. Identifiability conditions are derived and simulations verify the theoretical results. The method is extended to slowly time-varying as well as nonlinear systems. Different implementation for OFDM systems is also provided. The proposed approach applies to non-minimum phase channels and converges to an e neighborhood of the global optimum. A discussion for Blind Source Separation when second order statistics are available is also presented." @default.
- W2519698273 created "2016-09-23" @default.
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- W2519698273 date "2003-01-01" @default.
- W2519698273 modified "2023-09-27" @default.
- W2519698273 title "Blind source separation and channel equalization: an epsilon-approximation algorithm and finite alphabet approach" @default.
- W2519698273 hasPublicationYear "2003" @default.
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