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» Convolutional Encoder State Estimation
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TIT
1998
71views more  TIT 1998»
13 years 4 months ago
Convolutional Encoder State Estimation
—To estimate the convolutional encoder state from received data, one may use the inverse to the encoder G. However, channel errors make this method unreliable. We propose a metho...
A. J. Han Vinck, Petr Dolezal, Young Gil Kim
NIPS
2004
13 years 6 months ago
A Harmonic Excitation State-Space Approach to Blind Separation of Speech
We discuss an identification framework for noisy speech mixtures. A block-based generative model is formulated that explicitly incorporates the time-varying harmonic plus noise (H...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
ICASSP
2010
IEEE
13 years 5 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...
TIT
2002
98views more  TIT 2002»
13 years 4 months ago
DC-free binary convolutional coding
A novel DC-free binary convolutional coding scheme is presented. The proposed scheme achieves the DC-free and error correcting capability simultaneously. The scheme has a simple ca...
Tadashi Wadayama, A. J. Han Vinck
ISITA
2010
13 years 2 months ago
Syndrome former trellis construction for punctured convolutional codes
In this paper syndrome former trellis construction for punctured convolutional codes (PCCs) is discussed. The class of (np - 1)/np-rate PCCs derived from 1/n-rate mother codes is c...
Jan Geldmacher, Jürgen Götze