Overdetermined Blind Source Separation by Gaussian Mixture Model

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25944-9_21 ◽

2012 ◽

pp. 162-169

Author(s):

Yujia Wang ◽

Yunfeng Xue

Keyword(s):

Gaussian Mixture Model ◽

Blind Source Separation ◽

Mixture Model ◽

Source Separation ◽

Gaussian Mixture

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Robust Underdetermined Algorithm Using Heuristic-Based Gaussian Mixture Model for Blind Source Separation

Frontiers in Robotics, Automation and Control ◽

10.5772/6330 ◽

2008 ◽

Author(s):

Tsung-Ying Sun ◽

Chan-Cheng Liu ◽

Tsung-Ying Tsai ◽

Yu-Peng Jheng ◽

Jyun-Hong Jheng

Keyword(s):

Gaussian Mixture Model ◽

Blind Source Separation ◽

Mixture Model ◽

Source Separation ◽

Gaussian Mixture

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Gaussian Mixture Model-Based Bayesian Analysis for Underdetermined Blind Source Separation

Circuits Systems and Signal Processing ◽

10.1007/s00034-004-1030-2 ◽

2006 ◽

Vol 25 (1) ◽

pp. 81-94 ◽

Author(s):

Yingyu Zhang ◽

Xizhi Shi ◽

Chi Hau Chen

Keyword(s):

Bayesian Analysis ◽

Gaussian Mixture Model ◽

Blind Source Separation ◽

Mixture Model ◽

Source Separation ◽

Gaussian Mixture ◽

Underdetermined Blind Source Separation ◽

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An online algorithm for blind source separation with Gaussian mixture model

Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373) ◽

10.1109/asspcc.2000.882503 ◽

2002 ◽

Author(s):

M. Ohata ◽

T. Tokunari ◽

K. Matsuoka

Keyword(s):

Gaussian Mixture Model ◽

Blind Source Separation ◽

Mixture Model ◽

Online Algorithm ◽

Source Separation ◽

Gaussian Mixture

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Blind source separation based on local generalized Gaussian mixture model

2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN) ◽

10.1109/iccsn.2017.8230248 ◽

2017 ◽

Author(s):

Yongqiang Chen

Keyword(s):

Gaussian Mixture Model ◽

Blind Source Separation ◽

Mixture Model ◽

Source Separation ◽

Gaussian Mixture

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Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior

2009 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2009.4959513 ◽

2009 ◽

Author(s):

Shoko Araki ◽

Tomohiro Nakatani ◽

Hiroshi Sawada ◽

Shoji Makino

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Source Separation ◽

Model Fitting ◽

Gaussian Mixture ◽

Unknown Number ◽

Dirichlet Prior

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Deep Bayesian Unsupervised Source Separation Based On A Complex Gaussian Mixture Model

2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2019.8918699 ◽

2019 ◽

Author(s):

Yoshiaki Bando ◽

Yoko Sasaki ◽

Kazuyoshi Yoshii

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Source Separation ◽

Gaussian Mixture

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Noisy cGMM: Complex Gaussian Mixture Model with Non-Sparse Noise Model for Joint Source Separation and Denoising

2018 26th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco.2018.8553410 ◽

2018 ◽

Author(s):

Nobutaka Ito ◽

Christopher Schymura ◽

Shoko Araki ◽

Tomohiro Nakatani

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Source Separation ◽

Gaussian Mixture ◽

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Gaussian Mixture Model for Underdetermined Source Separation

2005 International Conference on Neural Networks and Brain ◽

10.1109/icnnb.2005.1615009 ◽

2006 ◽

Author(s):

Yingyu Zhang ◽

Xizhi Shi ◽

Juyang Lei ◽

Haixiang Xu ◽

Ke Huang ◽

...

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Source Separation ◽

Gaussian Mixture

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Permutation-Free Cgmm: Complex Gaussian Mixture Model with Inverse Wishart Mixture Model Based Spatial Prior for Permutation-Free Source Separation and Source Counting

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8461934 ◽

2018 ◽

Author(s):

Juan Azcarreta ◽

Nobutaka Ito ◽

Shoko Araki ◽

Tomohiro Nakatani

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Source Separation ◽

Gaussian Mixture ◽

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A New Algorithm to Determine Covariance in Statistical Maximum for Gaussian Mixture Model

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e100.a.2834 ◽

2017 ◽

Vol E100.A (12) ◽

pp. 2834-2841 ◽

Author(s):

Daiki AZUMA ◽

Shuji TSUKIYAMA

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture

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