独立分量分析的基本问题与研究进展

[1] 盲信号分离研究分类与展望 [J]. 西安电子科技大学学报, 2004, (03) : 399 - 404

[2] 独立成分分析方法综述 [J]. 自动化学报, 2002, (05) : 762 - 772

[3] 盲源分离和盲反卷积 [J]. 电子学报, 2002, (04) : 570 - 576

[4] 盲信号分离 [J]. 电子学报, 2001, (S1) : 1766 - 1771

[5] 人工神经网络与盲信号处理[M]. 清华大学出版社 , 杨行峻, 2003

[6] Analysis of sparse representation and blind source separation [J]. NEURAL COMPUTATION, 2004, 16 (06) : 1193 - 1234

[7] Kernel-based nonlinear blind source separation [J]. NEURAL COMPUTATION, 2003, 15 (05) : 1089 - 1124

[8] Dictionary learning algorithms for sparse representation [J]. NEURAL COMPUTATION, 2003, 15 (02) : 349 - 396

[9] Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model[J] . Mykola Lysetskiy,Andrzej Lozowski,Jacek M. Zurada.Biological Cybernetics . 2002 (1)

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

[1] 盲信号分离研究分类与展望 [J]. 西安电子科技大学学报, 2004, (03) : 399 - 404

[2] 独立成分分析方法综述 [J]. 自动化学报, 2002, (05) : 762 - 772

[3] 盲源分离和盲反卷积 [J]. 电子学报, 2002, (04) : 570 - 576

[4] 盲信号分离 [J]. 电子学报, 2001, (S1) : 1766 - 1771

[5] 人工神经网络与盲信号处理[M]. 清华大学出版社 , 杨行峻, 2003

[6] Analysis of sparse representation and blind source separation [J]. NEURAL COMPUTATION, 2004, 16 (06) : 1193 - 1234

[7] Kernel-based nonlinear blind source separation [J]. NEURAL COMPUTATION, 2003, 15 (05) : 1089 - 1124

[8] Dictionary learning algorithms for sparse representation [J]. NEURAL COMPUTATION, 2003, 15 (02) : 349 - 396

[9] Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model[J] . Mykola Lysetskiy,Andrzej Lozowski,Jacek M. Zurada.Biological Cybernetics . 2002 (1)

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