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134
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ICASSP
2011
IEEE
14 years 6 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
ICASSP
2011
IEEE
14 years 6 months ago
Detection of sinusoidal signals in noise by probabilistic modelling of the spectral magnitude shape and phase continuity
This paper presents a method for detection of sinusoidal signals corrupted by an additive noise in the short-time Fourier domain. The proposed method is based on probabilistic mod...
Peter Jancovic, Münevver Köküer
ICASSP
2011
IEEE
14 years 6 months ago
Real-time design of a space/spatial-frequency optimal filter for highly nonstationary two-dimensional signal estimation
Two-dimensional (2D) optimal filter for highly nonstationary 2D signal estimation is developed. It is based on the real-time results of space/spatial-frequency (S/SF) analysis, on...
Veselin N. Ivanovic, Nevena Radovic, Srdjan Jovano...
ICASSP
2007
IEEE
15 years 8 months ago
MEG Signal Denoising Based on Time-Shift PCA
We present a method for removing environmental noise from physiological recordings such as Magnetoencephalography (MEG) for which noise-sensitive reference channels are available....
Alain de Cheveigné, Jonathan Le Roux, Jonat...
134
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao