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ASC
2006
15 years 6 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...
ICASSP
2010
IEEE
15 years 5 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk
ICASSP
2009
IEEE
15 years 2 months ago
Qualitative analysis of rotational modes within three dimensional empirical mode decomposition
An analysis of quaternion-valued intrinsic mode functions (IMFs) within three dimensional empirical mode decomposition is presented. This is achieved by using the delay vector var...
Naveed ur Rehman, Danilo P. Mandic
156
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ICASSP
2011
IEEE
14 years 8 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
ICIP
2006
IEEE
16 years 6 months ago
Exact Local Reconstruction Algorithms for Signals with Finite Rate of Innovation
Consider the problem of sampling signals which are not bandlimited, but still have a finite number of degrees of freedom per unit of time, such as, for example, piecewise polynomi...
Pier Luigi Dragotti, Martin Vetterli, Thierry Blu