Modeling MPEG Coded Video Traffic by Markov-Modulated Self-Similar Processes
Journal of VLSI Signal Processing Systems
Blind identification and equalization of two-channel FIR systems in unbalanced noise environments
Signal Processing - Content-based image and video retrieval
EURASIP Journal on Wireless Communications and Networking
Blind identification of MISO-FIR channels
Signal Processing
Performance limits of alphabet diversities for FIR SISO channel identification
IEEE Transactions on Signal Processing
Blind adaptive equalization of MIMO systems: new recursive algorithms and convergence analysis
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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Blind identification of single-input multiple-output (SIMO) FIR systems based on second-order statistics has attracted a great deal of research effort. We focus on subspace estimation procedures, which exploit the structure of the range space of certain matrix-valued statistics constructed by arranging in a prescribed order the covariance coefficients of the observations. General subspace identifiability results are obtained, based on properties of minimal polynomial bases of rational subspaces. Several subspace estimation procedures are then derived. These estimators are all based on a weighted least-square solution of an overdetermined system of linear equations. An asymptotic statistical analysis of these estimators is carried out to evaluate the potential of these methods and the impact of the weighting