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ICASSP
2011
IEEE
14 years 11 months ago
Compressive power spectral density estimation
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...
Michael A. Lexa, Mike E. Davies, John S. Thompson,...
ICASSP
2011
IEEE
14 years 11 months ago
Fast estimation of the state of the power grid using synchronized phasor measurements
—Both the communication limitation and the measurement properties based algorithm become the bottleneck of enhancing the traditional power system state estimation speed. The avai...
Tao Yang, Anjan Bose
ICASSP
2011
IEEE
14 years 11 months ago
Mixture Kalman filtering for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels
This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. M...
Ali A. Nasir, Salman Durrani, Rodney A. Kennedy
ICASSP
2011
IEEE
14 years 11 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
ICASSP
2011
IEEE
14 years 11 months ago
Spatially sparsed Common Spatial Pattern to improve BCI performance
Common Spatial Pattern (CSP) is widely used in discriminating two classes of EEG in Brain Computer Interface applications. However, the performance of the CSP algorithm is affecte...
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Hiok Ch...
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