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Designing multichannel source separation based on single-channel source separation
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015In this paper, an extension of independent vector analysis (IVA), model-based IVA, is proposed for multichannel source separation. For obtaining better source models, we introduce a single-channel source separation method, and utilize the outputs as source variances in time-frequency-variant Gaussian source model. The demixing matrices are estimated in
Ana Ramírez López +4 more
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Sixth International Conference on Intelligent Systems Design and Applications, 2006
The paper presented a new signal processing technique to accomplish blind source separation when given only a single-channel mixture signal. One signal source can be generated by a set of weighted linear superposition of the time domain sub-band functions with independent component characteristic.
Xiefeng Cheng +4 more
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The paper presented a new signal processing technique to accomplish blind source separation when given only a single-channel mixture signal. One signal source can be generated by a set of weighted linear superposition of the time domain sub-band functions with independent component characteristic.
Xiefeng Cheng +4 more
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Probabilistic Optimization for Source Separation
2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020We present a novel probabilistic Zeroth-Order optimization method, which can handle higher dimensions, and can also be used for fast online optimization, for instance for multichannel source separation. We compared it to the Gradientless Descent (GLD) algorithm on a multichannel source separation task, and found that our method results in faster and ...
Gerald Schuller, Oleg Golokolenko
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Nonsymmetrical contrasts for sources separation
IEEE Transactions on Signal Processing, 1999In this paper, the problem of the blind separation of independent sources is considered. Our approach relies on high-order inverse criteria. After generalizing the definition of classical contrast functions, we exhibit a wide class of generally nonsymmetrical functions that will be called "generalized contrasts" and whose maximization is proved to be a
Eric Moreau, Nadège Thirion-Moreau
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Sound Source Separation Apparatus And Sound Source Separation Method
The Journal of the Acoustical Society of America, 2011To shorten an output delay while a high sound source separation performance is ensured when a sound separation process based on an ICA method is performed. A second Fourier transform process execution cycle t2 for obtaining a second frequency-domain signal S1 used as an input signal of a filter process is set shorter than a first Fourier transform ...
Takashi Hiekata, Yohei Ikeda
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Compressive blind source separation
2010 IEEE International Conference on Image Processing, 2010The central goal of compressive sensing is to reconstruct a signal that is sparse or compressible in some basis using very few measurements. However reconstruction is often not the ultimate goal and it is of considerable interest to be able to deduce attributes of the signal from the measurements without explicitly reconstructing the full signal.
Yiyue Wu +2 more
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A New Concept for Separability Problems in Blind Source Separation
Neural Computation, 2004The goal of blind source separation (BSS) lies in recovering the original independent sources of a mixed random vector without knowing the mixing structure. A key ingredient for performing BSS successfully is to know the indeterminacies of the problem—that is, to know how the separating model relates to the original mixing model (separability).
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Complex Blind Source Separation
Circuits, Systems, and Signal Processing, 2017Blind source separation (BSS) techniques aim at recovering the original source signals from observed mixtures without a priori information. The bivariate empirical mode decomposition (BEMD) algorithm combined with complex independent component analysis by entropy bound minimization (ICA-EBM) technique is proposed as an alternative to separate ...
Mina Kemiha, Abdellah Kacha
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Separation of sources of neuromagnetic examinations
Physiological Measurement, 1993Phantom experiments and computer simulations in combination with the Wiener-Helstrom filter reconstruction technique demonstrate the ability of the improvement of source separation in distributed current arrangements. A spatial region of interest (ROI), in which the current distribution is expected, is defined and discretized into three-dimensional ...
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Performance analysis of source separation based on blind source separation
IET International Radar Conference 2015, 2015Source separation plays an important role in array signal processing applications, such as anti-jamming, multisignal detection, etc. The performance of source separation need to be analyzed, which can also be indicated by the array performance index, output signal-interference-noise-ratio (SINR) and beam pattern.
Yang Gao Yang Gao +3 more
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