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DSP
2007
9 years 7 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
9 years 7 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
9 years 7 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
9 years 7 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
9 years 7 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
9 years 7 months ago
High performance noise reduction for biomedical multidimensional data
Siham Tabik, Ester M. Garzón, Inmaculada Ga...
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