Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Adaptive blind separation of independent sources: a deflation approach
Signal Processing
A fast fixed-point algorithm for independent component analysis
Neural Computation
A geometric approach to blind source separation for digital wireless applications
Signal Processing - Special issue on blind source separation and multichannel deconvolution
A generalization of joint-diagonalization criteria for sourceseparation
IEEE Transactions on Signal Processing
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
Blind separation of any source distributions via high-order statistics
Signal Processing
A new behavior of higher order blind source separation methods for convolutive mixture
Digital Signal Processing
A blind digital audio watermarking scheme based on EMD and UISA techniques
Multimedia Tools and Applications
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We address the problem of blind source separation using both a reference system and a deflation approach. First, we generalize a multi-input-single-output contrast function in considering a reference system. Then, a gradient-based deflation procedure is derived to extract the source signals one by one. A computer simulation shows that the proposed algorithm possesses a good behavior and thus the use of a reference system within a deflation procedure could be interesting in the source separation context.