• Publications
  • Influence
Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation
  • A. Yeredor
  • Mathematics, Computer Science
  • IEEE Trans. Signal Process.
  • 1 July 2002
TLDR
We propose an iterative alternating-directions algorithm for minimizing the weighted least-squares criterion with respect to a general (not necessarily orthogonal) diagonalizing matrix. Expand
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Fast Approximate Joint Diagonalization Incorporating Weight Matrices
TLDR
We propose a new low-complexity approximate joint diagonalization (AJD) algorithm, which incorporates nontrivial block-diagonal weight matrices into a weighted least-squares (WLS) AJD criterion. Expand
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Dictionary attacks using keyboard acoustic emanations
TLDR
We present a dictionary attack that is based on keyboard acoustic emanations. Expand
  • 135
  • 14
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Blind separation of Gaussian sources via second-order statistics with asymptotically optimal weighting
  • A. Yeredor
  • Mathematics
  • IEEE Signal Processing Letters
  • 1 July 2000
Blind separation of Gaussian sources with different spectra can be attained using second-order statistics. The second-order blind identification (SOBI) algorithm, proposed by Belouchrani et al.Expand
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Blind source separation via the second characteristic function
  • A. Yeredor
  • Mathematics, Computer Science
  • Signal Process.
  • 1 May 2000
TLDR
We propose a novel algorithm for blind source separation (BSS), based on the second joint characteristic function of the observations, based on a set of derivative matrices. Expand
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  • 9
ICA in Boolean XOR Mixtures
  • A. Yeredor
  • Mathematics, Computer Science
  • ICA
  • 9 September 2007
TLDR
We consider Independent Component Analysis (ICA) for the case of binary sources, where addition has the meaning of the boolean "Exclusive Or" (XOR) operation, and show that any invertible mixing is identifiable (up to permutation ambiguity). Expand
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Joint TDOA and FDOA Estimation: A Conditional Bound and Its Use for Optimally Weighted Localization
  • A. Yeredor, Eyal Angel
  • Mathematics, Computer Science
  • IEEE Transactions on Signal Processing
  • 1 April 2011
TLDR
We derive a “conditional” (or a "signal-specific" CRB, modeling the signal as a deterministic unknown. Expand
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  • 6
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A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
TLDR
We propose a novel ICA algorithm that effectively combines the strengths of EFICA and WASOBI in order to deal with hybrid mixtures. Expand
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  • 6
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ICA over finite fields - Separability and algorithms
TLDR
We transfer the ICA model to the case where the underlying field is not the set of reals but an arbitrary finite field. Expand
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Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications
TLDR
Matrix decompositions such as the eigenvalue decomposition (EVD) or the singular value decomposition have a long history in signal processing problems, such as spectral analysis, signal/noise subspace estimation, principal component analysis (PCA), dimensionality reduction, and whitening in independent component analysis. Expand
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