[1] |
HYVARINEN A , KARHUNEN J , OJA E . Independent component analysis[M]. JohnWiley & Sons, 2001.
|
[2] |
KURAYA M , UCHIDA A , YOSHIMORI S ,et al. Blind source separation of chaotic laser signals by independent component analysis[J]. Optics Express, 2008,16(2): 725-730.
|
[3] |
MATILAINEN M , NORDHAUSEN K , OJA H . New independent component analysis tools for time series[J]. Statistics & Probability Letters, 2015,105: 80-87.
|
[4] |
DIAMANTARAS K I , PAPADIMITRIOU T . Applying PCA neural models for the blind separation of signals[J]. Neurocomputing, 2009,73(1-3): 3-9.
|
[5] |
STONE J V . Blind source separation using temporal predictability[J]. Neural Computation, 2001,13(7): 1559-1574.
|
[6] |
陈雷, 张立毅, 郭艳菊 ,等. 基于时间可预测性的差分搜索盲信号分离算法[J]. 通信学报, 2014,35(6): 117-125.
|
|
CHEN L , ZHANG L Y , GUO Y J ,et al. Blind signal separation algorithm based on temporal predictability and differential search algorithm[J]. Journal on Communications, 2014,35(6): 117-125.
|
[7] |
GUAN L , KEARNEY R , ZHU C Y A ,et al. High-performance digital predistortion test platform development for wideband RF power amplifiers[J]. International Journal of Microwave and Wireless Technologies, 2013,5(5): 149-162.
|
[8] |
ACCARDO A , CUSENZA M , MONTI F . Linear and non-linear parameterization of EEG during monitoring of carotid endarterectomy[J]. Computers in Biology and Medicine, 2009,39(6): 512-518.
|
[9] |
HYVARINEN A , PAJUNEN P . Nonlinear independent component analysis:existence and uniqueness results[J]. Neural Networks, 1999,12(3): 429-439.
|
[10] |
TALEB A , JUTTEN C . Source separation in post-nonlinear mixtures[J]. IEEE Transactions on Signal Processing, 1999,47(10): 2807-2802.
|
[11] |
FILHO E F S , SEIXAS J M , CALOBA L P . Modified post-nonlinear ICA model for online neural discrimination[J]. Neurocomputing, 2010,73(6-8): 820-2828.
|
[12] |
DUARTE L T , SUYAMA R , RIVET B ,et al. Blind compensation of nonlinear distortions:application to source separation of post-nonlinear mixtures[J]. IEEE Transactions on Signal Processing, 2012,60(11): 5832-5844.
|
[13] |
AZIZ N B A , ABDULLAH W F H , TAHIR N M . Implementation of nonlinear blind source separation for CHEMFET sensor arrays[C]// The 2014 IEEE 10th International Colloquium on Signal Processing and its Applications. 2014: 238-241.
|
[14] |
LEE T W , KOEHLER B U , ORGLMEISTER R . Blind source separation of nonlinear mixing models[C]// The 1997 IEEE Signal Processing Society Workshop:Neural Networks for Signal Processing VII. 1997: 406-415.
|
[15] |
YANG H H , AMARI S , CICHOCKI A . Information-theoretic approach to blind separation of source in non-linear mixture[J]. Signal Processing Litters, 2000,7(7): 197-200.
|
[16] |
TAN Y , WANG J , ZURADA J . Nonlinear blind source separation using a radial basis function network[J]. IEEE Transactions on Neural Networks, 2001,12(1): 124-134.
|
[17] |
KARABOGA N . A new design method based on artificial bee colony algorithm for digital IIR filters[J]. Journal of the Franklin Institute, 2009,346(4): 328-348.
|
[18] |
ATYABI A , LUERSSEN M H , POWERS D M W . PSO-based dimension reduction of EEG recordings:implications for subject transfer in BCIO[J]. Neurocomputing, 2013,119: 319-331.
|
[19] |
KUMAR E V , RAAJA G S , JEROME J . Adaptive PSO for optimal LQR tracking control of 2 DoF laboratory helicopter[J]. Applied Soft Computing, 2016,41: 77-90.
|
[20] |
陈雷, 张立毅, 郭艳菊 ,等. 基于细菌群体趋药性的有序音信号分离算法[J]. 通信学报, 2011,32(4): 77-85.
|
|
CHEN L , ZHANG L Y , GUO Y J ,et al. Sequential blind signal algorithm based on bacterial colony chemo taxis[J]. Journal on Communications, 2011,32(4): 77-85.
|
[21] |
张银雪, 田学民, 邓晓刚 . 基于改进人工蜂群算法的盲源分离方法[J]. 电子学报, 2012,40(10): 2026-2030.
|
|
ZHANG Y X , TIAN X M , DENG X G . Blind source separation based on modified bee colony algorithm[J]. Acta Electronica Sinica, 2012,40(10): 2026-2030.
|
[22] |
MAVADDATY S , EBRAHIMZADEH A . A comparative study of bees colony algorithm for blind source separation[C]// The 20th Iranian Conference on Electrical Engineering. 2012: 1172-1177.
|
[23] |
CHEN L , ZHANG L Y , GUO Y J ,et al. Blind source separation based on covariance ratio and artificial bee colony algorithm[J]. Mathematical Problems in Engineering, 2014,484327.
|
[24] |
GORRIZ J M , PUNTONET C G , ROJAS F . Optimizing blind source separation with guided genetic algorithms[J]. Neurocomputing, 2006,69(13-15): 1442-1457.
|
[25] |
TAN Y , WANG J . Nonlinear blind source separation using higher order statistics and a genetic algorithm[J]. IEEE Transactions on Evolutionary Computation, 2002,5(6): 600-612.
|
[26] |
KARABOGA D . An idea based on honey bee swarm for numerical optimization[R]. Technical Report-TR06, 2005.
|
[27] |
SINGH A . An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem[J]. Applied Soft Computing, 2009,9(2): 625-631.
|
[28] |
SABAT S L , UDGATA S K , ABRAHAM A . Artificial bee colony algorithm for small signal model parameter extraction of MESFET[J]. Engineering Applications of Artificial Intelligence, 2010,23(5): 689-694.
|
[29] |
MANOJ V J , ELIAS E . Artificial bee colony algorithm for the design of multiplier-less nonuniform filter bank transmultiplexer[J]. Information Sciences, 2012,192: 193-203.
|
[30] |
GAO W F , LIU S Y . Modified artificial bee colony algorithm[J]. Computers & Operations Research, 2012,39(3): 687-697.
|
[31] |
HYVARINEN A . Fast and robust fixed-point algorithms for independent component analysis[J]. IEEE Transactions on Neural Networks, 1999,10(3): 626-634.
|
[32] |
FREEDMAN D , PISANI R , PURVES R . Statistics[M]. W.W.Norton& Company. 2007.
|
[33] |
BOFILL P , ZIBULEVSKY M . Underdetermined blind source separation using sparse representations[J]. Signal Processing, 2001,81(11): 2353-2362.
|