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A blind source separation technique using second-order statistics
- A. Belouchrani, K. Abed-Meraim, J. Cardoso, É. Moulines
- EngineeringIEEE Trans. Signal Process.
- 1 February 1997
A new source separation technique exploiting the time coherence of the source signals is introduced, which relies only on stationary second-order statistics that are based on a joint diagonalization of a set of covariance matrices.
Diagonal algebraic space-time block codes
A new family of linear space-time block codes is constructed by the combination of rotated constellations and the Hadamard transform, and it is shown that using the proposed codes in a multiantenna system yields good performances with high spectral efficiency and moderate decoding complexity.
Time-Frequency Signal Analysis and Processing
Underdetermined Blind Separation of Nondisjoint Sources in the Time-Frequency Domain
- A. Aïssa-El-Bey, N. Linh-Trung, K. Abed-Meraim, A. Belouchrani, Y. Grenier
- MathematicsIEEE Transactions on Signal Processing
- 1 March 2007
Two subspace-based algorithms for TF-nondisjoint sources are proposed: one uses quadratic TFDs and the other a linear TFD, and numerical performance of the proposed methods are provided highlighting their performance gain compared to existing ones.
A weighted linear prediction method for near-field source localization
A low computational cost method for the near-field narrowband source localization problem, which does not require multidimensional search or high-order statistics, based on the second- order statistics of the outputs of a uniform linear array.
Fast orthonormal PAST algorithm
An orthonormal version of the PAST algorithm for fast estimation and tracking of the principal subspace or/and principal components of a vector sequence and guarantees the orthonormality of the weight matrix at each iteration is elaborated on.
Prediction error method for second-order blind identification
This paper introduces a second-order blind identification technique based on a linear prediction approach and it will be shown that the linear prediction error method is "robust" to order overdetermination.
Blind system identification
A number of recently developed concepts and techniques for BSI, which include the concept of blind system identifiability in a deterministic framework, the blind techniques of maximum likelihood and subspace for estimating the system's impulse response, and other techniques for direct estimation of the system input are reviewed.
A subspace algorithm for certain blind identification problems
The problem of blind identification of p-inputs/q-outputs FIR transfer functions is addressed and the extension of the subspace method to the case p>1 is discussed.
Second Order Blind Separation of Temporally Correlated Sources
Blind separation of sources consists in recovering a set of statistically independent signals whose only mixtures are observed. Such instantaneous mixtures occur in narrow band array data which can…