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» Optimal Approximation of Signal Priors
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ICASSP
2010
IEEE
13 years 5 months ago
A parallel point-process filter for estimation of goal-directed movements from neural signals
Brain machine interfaces work by mapping the relevant neural activity to the intended movement known as ‘decoding’. Here, we develop a recursive Bayesian decoder for goaldirec...
Maryam Modir Shanechi, Gregory W. Wornell, Ziv Wil...
CORR
2010
Springer
275views Education» more  CORR 2010»
13 years 5 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
TIP
2010
127views more  TIP 2010»
13 years 3 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICASSP
2010
IEEE
13 years 5 months ago
Optimal delayed decoding of predictively encoded sources
Predictive coding eliminates redundancy due to correlations between the current and past signal samples, so that only the innovation, or prediction residual, needs to be encoded. ...
Vinay Melkote, Kenneth Rose
ICASSP
2008
IEEE
13 years 11 months ago
Minimum mean bayes risk error quantization of prior probabilities
Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, must be quantized. Nearest neighbor and centroid conditions f...
Kush R. Varshney, Lav R. Varshney