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ICASSP
2008
IEEE
14 years 2 months ago
Blind separation of non-negative sources by convex analysis: Effective method using linear programming
We recently reported a criterion for blind separation of non-negative sources, using a new concept called convex analysis for mixtures of non-negative sources (CAMNS). Under some ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...
ESANN
2006
13 years 9 months ago
Semi-Blind Approaches for Source Separation and Independent component Analysis
Abstract. This paper is a survey of semi-blind source separation approaches. Since Gaussian iid signals are not separable, simplest priors suggest to assume non Gaussian iid signal...
Massoud Babaie-Zadeh, Christian Jutten
ICA
2004
Springer
14 years 1 months ago
Monaural Source Separation Using Spectral Cues
The acoustic environment poses at least two important challenges. First, animals must localise sound sources using a variety of binaural and monaural cues; and second they must sep...
Barak A. Pearlmutter, Anthony M. Zador
ICASSP
2010
IEEE
13 years 2 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
ISCAS
1999
IEEE
97views Hardware» more  ISCAS 1999»
13 years 12 months ago
Monaural separation of independent acoustical components
The problem of blindly separating signal mixtures with fewer mixture components than independent signal sources is mathematically ill-defined, and requires suitable prior informat...
Gert Cauwenberghs