Results 11 to 20 of about 2,961,150 (281)
, 2004 This thesis addresses the blind signal separation (BSS) problem. The essence of the BSS problem is to recover a set of source signals from a group of sensor observations. These observations can be modeled as instantaneous or convolutive mixtures of the sources.
Lu, Jun
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Sparse separation of sources in 3D soundscapes [PDF]
, 2010 A novel blind source separation algorithm applicable to extracting sources from within 3D soundscapes is presented. The algorithm is based on constructing a binary mask based on directional information. The validity of filtering using binary masked based
Bunting, Oliver
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An iterative, residual-based approach to unsupervised musical source separation in single-channel mixtures [PDF]
, 2009 This thesis concentrates on a major problem within audio signal processing, the separation of source signals from musical mixtures when only a single mixture channel is available.
Siamantas, Georgios
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Underdetermined noisy blind separation using dual matching pursuits [PDF]
, 2004 Underdetermined blind source separation is a key application in audio where it is desirable to extract multiple sources from a stereo recording. A new variant on the stereo matching pursuit, the dual matching pursuit, is presented whereby independent ...
Sugden, P, Canagarajah, CN, Sugden, Paul
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Blind Single Channel Deconvolution using Nonstationary Signal Processing [PDF]
, 2003 Blind deconvolution is fundamental in signal processing applications and, in particular, the single channel case remains a challenging and formidable problem. This paper considers single channel blind deconvolution in the case where the degraded observed
Rayner, Peter J. W. +1 more
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, 2010 This is the author's accepted pre-print of the article, first published as M. D. Plumbley, A. Cichocki and R. Bro. Non-negative mixtures. In P. Comon and C. Jutten (Ed), Handbook of Blind Source Separation: Independent Component Analysis and Applications.
M. D. Plumbley +9 more
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Audio Source Separation Using Sparse Representations [PDF]
, 2010 This is the author's final version of the article, first published as A. Nesbit, M. G. Jafari, E. Vincent and M. D. Plumbley. Audio Source Separation Using Sparse Representations. In W.
Nesbit, Andrew +7 more
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Sparse representations in audio & music: from coding to source separation [PDF]
, 2010 —Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC.
Davies, ME +15 more
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Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings:Application to Alzheimer's disease [PDF]
, 2009 This work studied whether a blind source separation (BSS) and component selection procedure could increase the differences between Alzheimer's disease (AD) patients and control subjects' spectral and nonlinear features of magnetoencephalogram (MEG ...
Abasolo, Daniel +3 more
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Blind Source Separation Based on Double-Mutant Butterfly Optimization Algorithm
Sensors, 2022 The conventional blind source separation independent component analysis method has the problem of low-separation performance. In addition, the basic butterfly optimization algorithm has the problem of insufficient search capability. In order to solve the
Qingyu Xia +5 more
doaj +1 more source