9th International Conference on Communications and Networking in China 2014
DOI: 10.1109/chinacom.2014.7054320
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Work in progress: Exploiting charrelation matrix to improve blind separation performance in DS-CDMA systems

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(11 citation statements)
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“…The main application of ICA is blind separation problem, which has become an appealing field of research in statistical signal processing related communications [1,24]. The increasing interest in ICA is mainly due to emerging new practical application areas, where the assumption of independence is both powerful and realistic, which making it possible to find meaningful source signals or independent component from the data to be analyzed in a completely blind manner [16][17][18].…”
Section: Independent Component Analysismentioning
confidence: 99%
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“…The main application of ICA is blind separation problem, which has become an appealing field of research in statistical signal processing related communications [1,24]. The increasing interest in ICA is mainly due to emerging new practical application areas, where the assumption of independence is both powerful and realistic, which making it possible to find meaningful source signals or independent component from the data to be analyzed in a completely blind manner [16][17][18].…”
Section: Independent Component Analysismentioning
confidence: 99%
“…The third type of blind multiuser detectors is the ICA based BSS detection, which is also referred to as ICA-based receivers [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. The higher-order statistic (HOS) based ICA algorithms are used to deal with BSS of unknown sources from a mixed-up received signal.…”
Section: Introductionmentioning
confidence: 99%
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