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ICASSP
2011
IEEE
14 years 8 months ago
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals
Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired, e.g., by EEG. A standard step in a BCI system is to project the EEG ...
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Ka...
132
Voted
ICIP
2006
IEEE
16 years 6 months ago
Tomographic Approach for Sampling Multidimensional Signals with Finite Rate of Innovation
Recently, it was shown that it is possible to sample classes of 1D and 2-D signals with finite rate of innovation (FRI) [9, 4, 5, 3, 2, 7]. In particular, in [7], we presented loc...
Pancham Shukla, Pier Luigi Dragotti
ICASSP
2008
IEEE
15 years 11 months ago
Singer melody extraction in polyphonic signals using source separation methods
We propose a new approach for singer melody extraction, based on blind source separation techniques. The short time Fourier transform (STFT) of the singer signal is modelled by a ...
Jean-Louis Durrieu, Gaël Richard, Bertrand Da...
ICASSP
2010
IEEE
15 years 5 months ago
Training a support vector machine to classify signals in a real environment given clean training data
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum...
138
Voted
ICA
2010
Springer
15 years 5 months ago
The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio Source Separation
Abstract. This paper introduces the audio part of the 2010 communitybased Signal Separation Evaluation Campaign (SiSEC2010). Seven speech and music datasets were contributed, which...
Shoko Araki, Alexey Ozerov, Vikrham Gowreesunker, ...