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A blind source separation technique using second-order statistics
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. Expand
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. Expand
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. Expand
Underdetermined Blind Separation of Nondisjoint Sources in the Time-Frequency Domain
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. Expand
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. Expand
Blind system identification
Blind system identification (BSI) is a fundamental signal processing technology aimed at retrieving a system's unknown information from its output only. This technology has a wide range of possibleExpand
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. Expand
Separating More Sources Than Sensors Using Time-Frequency Distributions
A new separation method based on time-frequency distributions (TFDs) for blind separation of nonstationary sources in the underdetermined case, where there are more sources than sensors is proposed. Expand
A weighted linear prediction method for near-field source localization
This paper proposes a low computational cost method for the near-field narrowband source localization problem, which does not require multidimensional search or high-order statistics. The proposedExpand
A New Look at the Power Method for Fast Subspace Tracking
The O(np) implementation of the natural power method is shown to be superior to the O( np) equivalent of the Oja, PAST, and NIC methods. Expand