A Modified Speech Blind Separation Method Based on Information Maximum

2010 WASE International Conference on Information Engineering ◽

10.1109/icie.2010.25 ◽

2010 ◽

Author(s):

Xueying Zhang ◽

Hairong Jia ◽

Hong Xu

Keyword(s):

Separation Method ◽

Blind Separation

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A Modified Single-Channel Blind Separation Method Using EMD and ICA

Trustworthy Computing and Services - Communications in Computer and Information Science ◽

10.1007/978-3-662-43908-1_10 ◽

2014 ◽

pp. 78-85 ◽

Author(s):

Jiao Wang ◽

Yulin Liu ◽

Zhichao Chao ◽

Wei He

Keyword(s):

Single Channel ◽

Separation Method ◽

Blind Separation

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Multi-dimensional blind separation method for STBC systems

Journal of Systems Engineering and Electronics ◽

10.1109/jsee.2013.00106 ◽

2013 ◽

Vol 24 (6) ◽

pp. 912-918

Author(s):

Minggang Luo ◽

Liping Li ◽

Guobing Qian ◽

Huaguo Zhang

Keyword(s):

Separation Method ◽

Blind Separation

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Bidirectional coupled noise sources separation over the same frequency band using convolutive blind separation method

Applied Acoustics ◽

10.1016/j.apacoust.2012.08.006 ◽

2013 ◽

Vol 74 (3) ◽

pp. 301-306 ◽

Author(s):

Linke Zhang ◽

Yong Jiang ◽

Lin He

Keyword(s):

Frequency Band ◽

Separation Method ◽

Blind Separation ◽

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A Modified Speech Blind Separation Method Based on Information Maximum

Journal of Networks ◽

10.4304/jnw.5.12.1450-1457 ◽

2010 ◽

Vol 5 (12) ◽

Author(s):

Xueying Zhang ◽

Hairong Jia ◽

Hong Xu

Keyword(s):

Separation Method ◽

Blind Separation

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A new blind separation method of convolutive mixture of regular signal based on hidden representation and system deconvolution

Signal Processing ◽

10.1016/s0165-1684(00)00195-x ◽

2001 ◽

Vol 81 (1) ◽

pp. 173-182 ◽

Author(s):

Xianhua Dai

Keyword(s):

Separation Method ◽

Blind Separation ◽

Convolutive Mixture

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An adaptive blind separation method using para-Hermitian whitening filter for convolutively mixed signals

Signal Processing ◽

10.1016/j.sigpro.2006.04.003 ◽

2007 ◽

Vol 87 (1) ◽

pp. 33-50 ◽

Author(s):

Masashi Ohata ◽

Kiyotoshi Matsuoka ◽

Toshiharu Mukai

Keyword(s):

Separation Method ◽

Blind Separation ◽

Whitening Filter

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A repeated single-channel mechanical signal blind separation method based on morphological filtering and singular value decomposition

Measurement ◽

10.1016/j.measurement.2012.05.003 ◽

2012 ◽

Vol 45 (8) ◽

pp. 2052-2063 ◽

Author(s):

Shaojiang Dong ◽

Baoping Tang ◽

Yan Zhang

Keyword(s):

Singular Value Decomposition ◽

Single Channel ◽

Singular Value ◽

Separation Method ◽

Blind Separation ◽

Morphological Filtering ◽

Mechanical Signal ◽

Value Decomposition

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A Blind Separation Method of Noised Image Based on Neural Network Nonlinear Filtering and Independent Component Analysis

2008 International Conference on Computer Science and Software Engineering ◽

10.1109/csse.2008.1623 ◽

2008 ◽

Author(s):

Tian Yanan ◽

Wang Xu

Keyword(s):

Neural Network ◽

Independent Component Analysis ◽

Nonlinear Filtering ◽

Component Analysis ◽

Independent Component ◽

Separation Method ◽

Blind Separation

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Research on Non-stationary Blind Separation Method for Unfixed Signal Based on Extended Joint Diagonalization

Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace ◽

10.4108/eai.27-8-2020.2294590 ◽

2020 ◽

Author(s):

jun li ◽

Xin-Yuan Chen

Keyword(s):

Separation Method ◽

Blind Separation ◽

Joint Diagonalization

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Method for the single-channel blind separation based on particle filtering

Physico-mathematical modelling and informational technologies ◽

10.15407/fmmit2021.32.041 ◽

2021 ◽

pp. 22-26

Author(s):

Vasyl Semenov ◽

Evgeniya Semenova

Keyword(s):

State Space ◽

Particle Filtering ◽

Single Channel ◽

State Space Model ◽

Separation Method ◽

Blind Separation ◽

Digital Signals ◽

A method for single-channel blind separation of two digital signals is proposed. The method is based on particle filtering and state space model of the mixture of two signals. The effectiveness of method is verified and the advantage over the iterative Bayesian separation method is shown.

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