Single and Multi-Carrier CDMA: Multi-User Detection, Space-Time Spreading, Synchronisation and Standards
Blind source separation via generalized eigenvalue decomposition
The Journal of Machine Learning Research
Tumor clustering using nonnegative matrix factorization with gene selection
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Uplink user signal separation for OFDMA-based cognitive radios
EURASIP Journal on Advances in Signal Processing - Special issue on advanced signal processing for cognitive radio networks
A blind source separation technique using second-order statistics
IEEE Transactions on Signal Processing
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One of the premier mechanisms used in extracting unobserved signals from observed mixtures in signal processing is employing a blind source separation (BSS) algorithm or technique. A prominent role in the sphere of multicarrier communication is played by orthogonal frequency division multiplexing (OFDM) techniques. A set of remedial solutions taken to mitigate deteriorative effects caused within the air interface of an OFDM transmission with aid of BSS schemes is presented. Two energy functions are used in deriving the filter coefficients. They are optimized and performance is justified. These functions with the iterative fixed point rule for receive signal are used in determining the filter coefficients. Time correlation properties of the channel are taken advantage for BSS. It is tried colored noise and interference components to be removed from the signal mixture at the receiver. The method is tested in a slow fading channel with a receiver containing equal gain combining to treat the channel state information values. The importance is that, these solutions can be noted as quite low computational complexity mechanisms.