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Joint Independent Subspace Analysis: A Quasi-Newton Algorithm [PDF]
, 2015 International audienceIn this paper, we present a quasi-Newton (QN) algorithm for joint independent subspace analysis (JISA). JISA is a recently proposed generalization of independent vector analysis (IVA). JISA extends classical blind source separation (
Jutten, Christian, Lahat, Dana
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Cryptanalysis of an Encryption Scheme Based on Blind Source Separation [PDF]
, 2006 Recently Lin et al. proposed a method of using the underdetermined BSS (blind source separation) problem to realize image and speech encryption. In this paper, we give a cryptanalysis of this BSS-based encryption and point out that it is not secure ...
Chen, Guanrong +3 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2010 Frequency-domain blind source separation (BSS) performs poorly in high reverberation because the independence assumption collapses at each frequency bins when the number of bins increases.
Lin Wang, Heping Ding, Fuliang Yin
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Blind Separation of Nonstationary Sources Based on Spatial Time-Frequency Distributions
EURASIP Journal on Advances in Signal Processing, 2006 Blind source separation (BSS) based on spatial time-frequency distributions (STFDs) provides improved performance over blind source separation methods based on second-order statistics, when dealing with signals that are localized in the time-frequency ...
Zhang Yimin, Amin Moeness G
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Sparsity and adaptivity for the blind separation of partially correlated sources [PDF]
, 2014 Blind source separation (BSS) is a very popular technique to analyze multichannel data. In this context, the data are modeled as the linear combination of sources to be retrieved.
Bobin, Jerome +3 more
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A Modified JadeR for Signal Separation under Gaussian Noise
Journal of Kufa for Mathematics and Computer, 2019 A Modified version of Joint Approximation Diagonalization Estimation of Real Signals algorithm (JADER) is proposed to enhance efficiency and speed of Blind Signal Separation (BSS).
Muna H. Fatnan +2 more
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Blind Implicit Source Separation – A New Concept in BSS Theory
, 2012 The Blind Source Separation (BSS) problem was first introduced (Herault et al., 1985; Jutten & Herault, 1988) in the context of biological problems (Ans et al., 1983; Herault & Ans, 1984) with the aim of being able to separate a set of signals generated by the central nervous system. A few years later, several methods based on BSS were applied to other
Mato-Méndez, Fernando J. +1 more
openaire +3 more sources
Generalized Non-orthogonal Joint Diagonalization with LU Decomposition and Successive Rotations
, 2015 Non-orthogonal joint diagonalization (NJD) free of prewhitening has been widely studied in the context of blind source separation (BSS) and array signal processing, etc.
Gong, Xiao-Feng +2 more
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Blind separation of underdetermined mixtures with additive white and pink noises [PDF]
, 2014 This paper presents an approach for underdetermined blind source separation in the case of additive Gaussian white noise and pink noise. Likewise, the proposed approach is applicable in the case of separating I + 3 sources from I mixtures with additive
Alshabrawy, Ossama +3 more
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Progress in blind separation of magnetoencephalographic data [PDF]
, 2003 The match between the physics of MEG and the assumptions of the most well developed blind source separation (BSS) algorithms (unknown instantaneous linear mixing process, many sensors compared to expected recoverable sources, large data limit) have ...
Barak A. Pearlmutter, Santiago Jaramillo
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