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ICA
2007
Springer
13 years 9 months ago
Gradient Convolution Kernel Compensation Applied to Surface Electromyograms
Abstract. This paper introduces gradient based method for robust assessment of the sparse pulse sources, such as motor unit innervation pulse trains in the filed of electromyograp...
Ales Holobar, Damjan Zazula
ICIP
2007
IEEE
14 years 9 months ago
Blind Audiovisual Source Separation using Sparse Representations
In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherenc...
Anna Llagostera Casanovas, Gianluca Monaci, Pierre...
ICASSP
2011
IEEE
12 years 11 months ago
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity
This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels...
Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vin...
ICASSP
2009
IEEE
14 years 2 months ago
Using phase linearity in frequency-domain ICA to tackle the permutation problem
This paper describes a method for solving the permutation problem in the frequency-domain independent component analysis (FD-ICA) approach to blind source separation (BSS). FD-ICA...
Keisuke Toyama, Mark D. Plumbley
ICA
2010
Springer
13 years 7 months ago
Double Sparsity: Towards Blind Estimation of Multiple Channels
We propose a framework for blind multiple filter estimation from convolutive mixtures, exploiting the time-domain sparsity of the mixing filters and the disjointness of the sources...
Prasad Sudhakar, Simon Arberet, Rémi Gribon...