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ICASSP
2011
IEEE
7 years 7 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien
TASLP
2010
177views more  TASLP 2010»
7 years 10 months ago
A Watermarking-Based Method for Informed Source Separation of Audio Signals With a Single Sensor
In this paper, the issue of audio source separation from a single channel is addressed, i.e. the estimation of several source signals from a single observation of their mixture. Th...
Mathieu Parvaix, Laurent Girin, Jean-Marc Brossier
ICASSP
2010
IEEE
8 years 1 months ago
A sparse component model of source signals and its application to blind source separation
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
Yu Kitano, Hirokazu Kameoka, Yosuke Izumi, Nobutak...
TSP
2008
166views more  TSP 2008»
8 years 3 months ago
A Convex Analysis Framework for Blind Separation of Non-Negative Sources
This paper presents a new framework for blind source separation (BSS) of non-negative source signals. The proposed framework, referred herein to as convex analysis of mixtures of ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...
IJON
2006
72views more  IJON 2006»
8 years 3 months ago
Extraction of a source signal whose kurtosis value lies in a specific range
In many applications extraction of source signals of interest from observed signals maybe is a more feasible approach than simultaneous separation of all the source signals, since...
Zhi-Lin Zhang, Zhang Yi
IJON
2008
93views more  IJON 2008»
8 years 3 months ago
Morphologically constrained ICA for extracting weak temporally correlated signals
Recently the constrained ICA (cICA) algorithm has been widely applied to many applications. But a crucial problem to the algorithm is how to design a reference signal in advance, ...
Zhi-Lin Zhang
ICA
2004
Springer
8 years 8 months ago
Robust ICA for Super-Gaussian Sources
Abstract. Most ICA algorithms are sensitive to outliers. Instead of robustifying existing algorithms by outlier rejection techniques, we show how a simple outlier index can be used...
Frank C. Meinecke, Stefan Harmeling, Klaus-Robert ...
ICA
2007
Springer
8 years 9 months ago
Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications
Blind source extraction (BSE) is of advantages over blind source separation (BSS) when obtaining some underlying source signals from high dimensional observed signals. Among a vari...
Zhi-Lin Zhang, Liqing Zhang
CISS
2008
IEEE
8 years 10 months ago
Information theory based estimator of the number of sources in a sparse linear mixing model
—In this paper we present an Information Theoretic Estimator for the number of sources mutually disjoint in a linear mixing model. The approach follows the Minimum Description Le...
Radu Balan
ICASSP
2009
IEEE
8 years 10 months ago
Improved subspace DoA estimation methods with large arrays: The deterministic signals case
This paper is devoted to the subspace DoA estimation using a large antennas array when the number of available snapshots is of the same order of magnitude than the number of senso...
Pascal Vallet, Philippe Loubaton, Xavier Mestre
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