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GENERALIZED FLEXIBLE SPLITTING FUNCTION OUTPERFORMS CLASSICAL APPROACHES IN BLIND SIGNAL SEPARATION OF COMPLEX ENVIRONMENT

机译：在复杂环境的盲信号分离中，广义的弹性分裂函数优于经典方法

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Michele Scarpiniti; Daniele Vigliano; Raffaele Parisi; Aurelio Uncini;
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年度 2011
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1. Generalized splitting functions for blind separation of complex signals [J] . Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Neurocomputing . 2008,第10a12期

机译：通用分离功能，用于盲分离复杂信号
2. Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation [J] . Tang Xiaogang, Wang Sunan, Li Jiong Mathematical Problems in Engineering . 2018,第PTa8期

机译：使用广义自相关的复数值信号盲源分离
3. Corrigendum to 'Blind Source Separation for Complex-Valued Signals Using Generalized Autocorrelation' [J] . Tang Xiaogang, Wang Sunan, Li Jiong Mathematical Problems in Engineering . 2018,第PTa16期

机译：使用广泛性自相关的复合信号盲源分离的勘误
4. Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment [C] . Scarpiniti, Michele, Vigliano, . 2007

机译：在复杂环境的盲信号分离中，广义柔性分裂函数的性能优于经典方法
5. Multichannel blind separation of speech signals in a reverberant environment. [D] . Ikram, Muhammad Zubair. 2001

机译：在混响环境中语音信号的多通道盲分离。
6. Rate-splitting multiple access for downlink communication systems: bridging generalizing and outperforming SDMA and NOMA [O] . Yijie Mao, Bruno Clerckx, Victor O.K. Li -1

机译：下行通信系统的速率分离多路访问：桥接通用化和优于SDMA和NOMA
7. Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment [O] . M. SCARPINITI, D. VIGLIANO, R. PARISI, 2007

机译：复杂环境中盲分离中的广义柔性分裂函数优于经典方法
8. Audio Signal Separation Using Blind Source Separation Techniques [R] . Kadambe, S., Owechko, Y. 1999

机译：采用盲源分离技术的音频信号分离

GENERALIZED FLEXIBLE SPLITTING FUNCTION OUTPERFORMS CLASSICAL APPROACHES IN BLIND SIGNAL SEPARATION OF COMPLEX ENVIRONMENT

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