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DSP
2007
13 years 11 months ago
Variational and stochastic inference for Bayesian source separation
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...
Ali Taylan Cemgil, Cédric Févotte, S...
DSP
2007
13 years 11 months ago
Special issue on Bayesian source separation
ww.elsevier.com/locate/dsp including abstract, keywords, a cover page containing the title and Author(s) name(s), corresponding
Ercan E. Kuruoglu, Kevin H. Knuth
DSP
2007
13 years 11 months ago
Model independent pre-processing of X-ray powder diffraction profiles
M. Ladisa, A. Lamura, Teresa Laudadio, G. Nico
DSP
2007
13 years 11 months ago
Knowledge based adaptive processing for ground moving target indication
This paper presents a preliminary knowledge based approach to Space-Time Adaptive Processing (STAP) for ground moving target indication from an airborne platform. The KB-processor...
Raviraj Adve, Todd Hale, Michael C. Wicks
DSP
2007
13 years 11 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
DSP
2007
13 years 11 months ago
Performance comparison between statistical-based and direct data domain STAPs
In the situation that a radar platform is moving very fast, the number of training data used in space-time adaptive processing (STAP) is a major concern. Less number of training d...
Santana Burintramart, Tapan K. Sarkar, Yu Zhang, M...
DSP
2007
13 years 11 months ago
High performance noise reduction for biomedical multidimensional data
Siham Tabik, Ester M. Garzón, Inmaculada Ga...