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ICA
2004
Springer
15 years 5 months ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
ICA
2007
Springer
15 years 6 months ago
Morphological Diversity and Sparsity in Blind Source Separation
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on mo...
Jérôme Bobin, Yassir Moudden, Jalal F...
IDA
2009
Springer
15 years 6 months ago
The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation
Abstract. This paper introduces the first community-based Signal Separation Evaluation Campaign (SiSEC 2008), coordinated by the authors. This initiative aims to evaluate source s...
Emmanuel Vincent, Shoko Araki, Pau Bofill
ICASSP
2011
IEEE
14 years 3 months ago
Audio source separation by basis function adaptation
The problem of audio source separation from a monophonic sound mixture having known instrument types but unknown timbres is presented. An improvement to the Probabilistic Latent C...
Yinyi Guo, Mofei Zhu
BMCBI
2007
135views more  BMCBI 2007»
14 years 12 months ago
LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise
Background: Mass spectrometry protein profiling is a promising tool for biomarker discovery in clinical proteomics. However, the development of a reliable approach for the separat...
Dante Mantini, Francesca Petrucci, Damiana Pierago...