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ICASSP
2011
IEEE
14 years 10 months ago
Eigenspace sparsity for compression and denoising
Sparsity in the eigenspace of signal covariance matrices is exploited in this paper for compression and denoising. Dimensionality reduction (DR) and quantization modules present i...
Ioannis D. Schizas, Georgios B. Giannakis
ICASSP
2011
IEEE
14 years 10 months ago
Perceptual differentiation modeling explains phoneme mispronunciation by non-native speakers
One of the difficulties in second language (L2) learning is the weakness in discriminating between acoustic diversity within an L2 phoneme category and between different categori...
Christos Koniaris, Olov Engwall
ICASSP
2011
IEEE
14 years 10 months ago
Sparse common spatial patterns in brain computer interface applications
The Common Spatial Pattern (CSP) method is a powerful technique for feature extraction from multichannel neural activity and widely used in brain computer interface (BCI) applicat...
Fikri Goksu, Nuri Firat Ince, Ahmed H. Tewfik
ICASSP
2011
IEEE
14 years 10 months ago
Clustering and suppression of transient noise in speech signals using diffusion maps
Recently we have presented a novel approach for transient noise reduction that relies on non-local (NL) filtering. In this paper, we modify and extend our approach to support clu...
Ronen Talmon, Israel Cohen, Sharon Gannot
ICASSP
2011
IEEE
14 years 10 months ago
Automatic target classification in SAR images using MPCA
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Tristan Porges, Gérard Favier