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Blind Separation of Statistically Independent Signals with Mixed Sub-Gaussian and Super-Gaussian Probability Distributions

机译：具有亚高斯和超高斯混合概率分布的统计独立信号的盲分离

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Muhammad Tufail; Masahide Abe; Masayuki Kawamata;
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年度 2013
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1. On Improved Methods for Blind Separation of Signals with Arbitrary Probability Distributions and Robust Independent Component Analysis [J] . Muhammad Tufail 東北大学電通谈话会記録 . 2007,第2期

机译：具有任意概率分布的信号盲分离和鲁棒独立分量分析的改进方法
2. Audio analysis of statistically instantaneous signals with mixed Gaussian probability distributions [J] . Ganesh R. Naik, Wenwu Wang International journal of electronics . 2012,第10a12期

机译：具有混合高斯概率分布的统计瞬时信号的音频分析
3. A fundamental consideration on the stochastic blind signal separation based on the rotational transformation and a measure of statistical independency [J] . Noboru Nakasako, Hisanao Ogura, Mitsuo Ohta Acoustical science and technology . 2001,第1期

机译：基于旋转变换和统计独立性度量的随机盲信号分离的基本考虑
4. Blind Separation of Statistically Independent Signals with Mixed Sub-Gaussian and Super-Gaussian Probability Distributions [C] . Muhammad Tufail, Masahide Abe, Masayuki Kawamata IEEE International Symposium on Circuits and Systems . 2005

机译：用混合亚高斯和超高斯概率分布盲分离统计上独立信号
5. Blind Source Separation of Speech Signals: Exploiting Second Order Statistics [D] . Madanagopal, Vishaal. 2018

机译：语音信号的盲来源分离：利用二阶统计
6. Micropower Mixed-signal VLSI Independent Component Analysis for Gradient Flow Acoustic Source Separation [O] . Milutin Stanaćević, Shuo Li, Gert Cauwenberghs -1

机译：用于梯度流声源分离的微功率混合信号VLSI独立分量分析
7. Independent component analysis based blind signal separation for mixed speech signal [O] . Karthikeyan G, Sahoo Radharaman 2007

机译：基于独立成分分析的混合语音信号盲信号分离
8. Virtues and Vices of Source Separation Using Linear Independent Component Analysis for Blind Source Separation of Non-Linearly Coupled and Synchronised Fetal and Mother ECGs. [R] . Sabry-Rizk, M., Zgallai, W., McLean, A., 2001

机译：利用线性独立分量分析非线性耦合和同步胎儿和母亲心电图的盲源分离源和分离。

Blind Separation of Statistically Independent Signals with Mixed Sub-Gaussian and Super-Gaussian Probability Distributions

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