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- W2111946365 abstract "The blind equalization of multi-input multi-output (MIMO) digital communication channels is addressed in this paper. A variety of error sources (e.g., stemming from finite sample size) can cause considerable discrepancies between practical performance and theoretical limits of multichannel linear equalizers. In this contribution, we show that a post-detection strategy based on the statistical tool of independent component analysis (ICA) can notably alleviate these detrimental effects. Thanks to the time redundancies introduced by the wideband multipath channel, ICA-assisted detection can bring MIMO equalization performance closer to the theoretical bounds without the excessive computational complexity of extracting all signal components." @default.
- W2111946365 created "2016-06-24" @default.
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- W2111946365 date "2004-01-01" @default.
- W2111946365 modified "2023-09-23" @default.
- W2111946365 title "IMPROVING MIMO CHANNEL EQUALIZATION WITH INDEPENDENT COMPONENT ANALYSIS" @default.
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