Zhang K, Chan LW. (2005). An Adaptive Method for Subband Decomposition ICA Neural Comput. 18

See more from authors: Zhang K · Chan LW

References and models cited by this paper

Amari S. (1999). Natural gradient learning for over- and under-complete bases In ICA. Neural computation. 11 [PubMed]

Amari S, Cichocki A. (2003). Adaptive blind signal and image processing: Learning algorithms and applications.

Amari SL, Cichocki A, Yang HH. (1996). A new learning algorithm for blind signal separation. Advances in Neural Information Processing Systems.. 8

Bell AJ, Sejnowski TJ. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural computation. 7 [PubMed]

Belouchrani A, Amin MG. (1998). Blind source separation based on time-frequency signal representations IEEE Transactions On Signal Processing. 46

Cao XR, Liu RW. (1996). General approach to blind source separation IEEE Transactions On Signal Processing. 44

Cardoso JF. (1997). Infomax and maximum likelihood for source separation IEEE Letters On Signal Processing. 4

Cardoso JF. (1998). Multidimensional independent component analysis Proc IEEE Int Conf on Acoustics, Speech and Signal Processing (ICASSP'98).

Cardoso JF, Laheld B. (1996). Equivalent adaptive source separation. IEEE Trans Signal Proc. 44

Cardoso JF, Souloumiac A. (1993). Blind beamforming for non-gaussian signals Proc IEEE. 140

Cichocki A, Belouchrani A. (2001). Source separation of temporally correlated source using bank of band pass filters Proceedings Of 3rd International Conference On Independent Component Analysis And Blind Signal Separation.

Cichocki A, Gharieb RR. (2003). Second-order statistics based blind source separation using a bank of subband filters Digital Signal Processing. 13

Cichocki A, Siwek K, Rutkowski TM. (2002). Blind signal extraction of signals with specified frequency band Neural Networks for Signal Processing XII: Proceedings of the 2002 IEEE Signal Processing Society Workshop.

Cichocki A, Zurada JM. (2004). Blind signal separation and extraction: Recent trends, future perspectives, and applications ICAISC 2004.

Comon P. (1994). Independent component analysis, a new concept? Signal Processing. 36

Cramer H. (1962). Random variables and probability distributions (2nd ed).

Downing J. (2003). Profiling in acute leukemia. Clinical advances in hematology & oncology : H&O. 1 [PubMed]

Hyvarinen A. (1998). Independent component analysis for time-dependent stochastic processes Proc Int Conf on Artificial Neural Networks.

Hyvarinen A, Inki M. (2002). Estimating overcomplete independent component bases for image windows Journal Of Mathematical Imaging And Vision. 17

Hyvärinen A, Hoyer P. (2000). Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural computation. 12 [PubMed]

Jordan MI, Bach FR. (2003). Beyond independent components: Trees and clusters J Mach Learn Res. 4

Joutsensalo J, Ristaniemi T. (1999). On the performance of blind source separation in CDMA downlink Proc. Int. Workshop on Independent Component Analysis and Signal Separation.

Jutten C, Babaie-zadeh M, Nayebi K. (2001). Blind separating convolutive post-nonlinear mixtures Proc ICA2001.

Jutten C, Babaie-zadeh M, Nayebi K. (2001). Separating convolutive mixtures by mutual information minimization Proc IWANN.

Jutten C, Babaie-zadeh M, Nayebi K. (2004). A minimization-projection (MP) approach for blind separating convolutive mixtures ICASSP 2004.

Jutten C, Babaie-zadeh M, Nayebi K, Samadi S. (2004). Blind source separation by adaptive estimation of score function difference Proc ICA 2004. 2004

Jutten C, Taleb A. (1997). Entropy optimization-application to blind source separation ICANN.

Kagan AM, Linnik JV, Rao CR. (1973). Characterization problems in mathematical statistics.

Lewicki MS, Sejnowski TJ. (2000). Learning overcomplete representations. Neural computation. 12 [PubMed]

Liu RW, Luo H. (1998). Direct blind separation of independent non-gaussian signals with dynamic channels Proc. Fifth IEEE Workshop on Cellular Neural Networks and Their Applications.

Oja E, Hyvarinen A. (1997). A fast fixed-point algorithm for independent component analysis Neural Comput. 9

Oja E, Hyvarinen A, Cristescu R. (1999). A fast algorithm for estimating overcomplete ICA bases for image windows Proc Int Joint Conf on Neural Networks.

Oja E, Hyvarinen A, Hoyer PO. (2001). Image denoising by sparse code shrinkage Intelligent signal processing.

Oja E, Hyvarinen A, Karunen J. (2001). Independent component analysis.

Oja E, Kiviluoto K. (1998). Independent component analysis for parallel financial time series Proc ICONIP. 98

Olshausen BA, Field DJ. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature. 381 [PubMed]

Olshausen BA, Field DJ. (1997). Sparse coding with an overcomplete basis set: a strategy employed by V1? Vision research. 37 [PubMed]

Pham DT. (2003). Fast algorithm for estimating mutual information, entropies and scores functions Proceeding of ICA 2003.

Rickard S, Balan R, Rosca J. (2003). Blind source separation based on space-time-frequency diversity 4th International Symposium on Independent Component Analysis and Blind Source Separation.

Rickard S, Yilmaz O. (2004). Blind separation of speech mixtures via time-frequency masking. Ieee Transactions On Signal Processing. 52

Sejnowski TJ, Bell A, Makeig S, Jung TP. (1996). Independent component analysis of electroencephalographic data Advances in neural information processing systems.

Tanaka T, Amari S, Et al , Cichocki A, Siwek K. (2003). ICALAB toolboxes for signal and image processing Available online at http:--www.bsp.brain.riken.jp-ICALAB-.

Tanaka T, Cichocki A. (2004). Subband decomposition independent component analysis and new performance criteria Proc IEEE Int Conf On Acoustics, Speech And Signal Processing.

Torkkola K. (1996). Blind separation of convolved sources based on information maximization. IEEE Workshop On Neural Networks For Signal Processing Kyoto, Japan.

Vigario R, Hari R, Jousmaki V, Oja E. (1998). Independent component analysis for identification of artifacts in magnetoencephalographic recordings Advances in neural information processing systems.

Vigário RN. (1997). Extraction of ocular artefacts from EEG using independent component analysis. Electroencephalography and clinical neurophysiology. 103 [PubMed]

Ye JM, Zhu XL, Zhang XD. (2004). Adaptive Blind Separation with an Unknown Number of Sources Neural Comput. 16

References and models that cite this paper
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.