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ICASSP
2010
IEEE
13 years 7 months ago
Under-determined convolutive blind source separation using spatial covariance models
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
ESANN
2003
13 years 8 months ago
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on...
Cédric Archambeau, John Aldo Lee, Michel Ve...
EJASP
2010
234views more  EJASP 2010»
13 years 2 months ago
Iterative Sparse Channel Estimation and Decoding for Underwater MIMO-OFDM
In this paper we propose a block-by-block iterative receiver for underwater MIMO-OFDM that couples channel estimation with MIMO detection and channel decoding. In particular, the c...
Jie Huang, Jianzhong Huang, Christian R. Berger, S...
ICC
2007
IEEE
160views Communications» more  ICC 2007»
14 years 1 months ago
Robust Statistics Based Expectation-Maximization Algorithm for Channel Tracking in OFDM Systems
— Decision directed channel tracking (DDCT) at high fade rates in OFDM based systems is addressed in this paper. Existing DDCT algorithms like the expectation-maximization (EM) a...
Sheetal Kalyani, Krishnamurthy Giridhar
ICASSP
2011
IEEE
12 years 11 months ago
Integrating binaural cues and blind source separation method for separating reverberant speech mixtures
This paper presents a new method for reverberant speech separation, based on the combination of binaural cues and blind source separation (BSS) for the automatic classification o...
Atiyeh Alinaghi, Wenwu Wang, Philip J. B. Jackson