独立成分分析方法综述

[1] 信息论与最优编码[M]. 上海科学技术出版社 , 章照止, 1993

[2] 神经网络的应用与实现[M]. 西安电子科技大学出版社 , 焦李成 编著, 1993

[3] Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation[J] . Aapo Hyv&auml,rinen.Neural Computation . 1999 (7)

[4] The fixed-point algorithm and maximum likelihood estimation for independent component analysis [J]. NEURAL PROCESSING LETTERS, 1999, 10 (01) : 1 - 5

[5] Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources [J]. NEURAL COMPUTATION, 1999, 11 (02) : 417 - 441

[6] Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood[J] . Neurocomputing . 1998 (1)

[7] Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information[J] . Howard Hua Yang,Shun-ichi Amari.Neural Computation . 1997 (7)

[8] Modified Herault–Jutten Algorithms for Blind Separation of Sources[J] . Andrzej Cichocki,Robert E. Bogner,Leszek Moszczyński,Kenneth Pope.Digital Signal Processing . 1997 (2)

[9] AN INFORMATION MAXIMIZATION APPROACH TO BLIND SEPARATION AND BLIND DECONVOLUTION [J]. NEURAL COMPUTATION, 1995, 7 (06) : 1129 - 1159

[10] Maximum likelihood blind source separation: A context -sensitive generalization of ICA .2 Pearlmutter B A,Parra L C. In: Advances in Neural Information Processing Systems, Volume 9, MIT Press . 1997

[1] 信息论与最优编码[M]. 上海科学技术出版社 , 章照止, 1993

[2] 神经网络的应用与实现[M]. 西安电子科技大学出版社 , 焦李成 编著, 1993

[3] Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation[J] . Aapo Hyv&auml,rinen.Neural Computation . 1999 (7)

[4] The fixed-point algorithm and maximum likelihood estimation for independent component analysis [J]. NEURAL PROCESSING LETTERS, 1999, 10 (01) : 1 - 5

[5] Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources [J]. NEURAL COMPUTATION, 1999, 11 (02) : 417 - 441

[6] Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood[J] . Neurocomputing . 1998 (1)

[7] Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information[J] . Howard Hua Yang,Shun-ichi Amari.Neural Computation . 1997 (7)

[8] Modified Herault–Jutten Algorithms for Blind Separation of Sources[J] . Andrzej Cichocki,Robert E. Bogner,Leszek Moszczyński,Kenneth Pope.Digital Signal Processing . 1997 (2)

[9] AN INFORMATION MAXIMIZATION APPROACH TO BLIND SEPARATION AND BLIND DECONVOLUTION [J]. NEURAL COMPUTATION, 1995, 7 (06) : 1129 - 1159

[10] Maximum likelihood blind source separation: A context -sensitive generalization of ICA .2 Pearlmutter B A,Parra L C. In: Advances in Neural Information Processing Systems, Volume 9, MIT Press . 1997