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» Introduction to Statistical Signal Processing
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ICASSP
2008
IEEE
14 years 4 months ago
Fast noise tracking based on recursive smoothing of MMSE noise power estimates
We consider estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. In each time frame, for each frequency bin, the noise...
Jan S. Erkelens, Richard Heusdens
ICASSP
2009
IEEE
14 years 2 months ago
Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
Alexey Ozerov, Cédric Févotte
ESANN
2006
13 years 11 months ago
Non-orthogonal Support Width ICA
Independent Component Analysis (ICA) is a powerful tool with applications in many areas of blind signal processing; however, its key assumption, i.e. the statistical independence o...
John Aldo Lee, Frédéric Vrins, Miche...
ICASSP
2010
IEEE
13 years 8 months ago
Joint estimation of DOA and speech based on EM beamforming
In this paper, we propose a multi-microphone joint optimal estimation of the direction of arrival (DOA) and the source speech signal through newly introduced EM beamforming. This ...
Lae-Hoon Kim, Mark Hasegawa-Johnson, Gerasimos Pot...
ICASSP
2011
IEEE
13 years 2 months ago
Deterministic compressed-sensing matrices: Where Toeplitz meets Golay
Recently, the statistical restricted isometry property (STRIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this pa...
Kezhi Li, Cong Ling, Lu Gan