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NECO
2010
154views more  NECO 2010»
13 years 7 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
AMC
2005
87views more  AMC 2005»
13 years 8 months ago
Wavelet based preconditioners for sparse linear systems
A class of efficient preconditioners based on Daubechies family of wavelets for sparse, unsymmetric linear systems that arise in numerical solution of Partial Differential Equatio...
B. V. Rathish Kumar, Mani Mehra
ICC
2007
IEEE
160views Communications» more  ICC 2007»
14 years 2 months ago
Differential Bell-Labs Layered Space Time Architectures
Abstract—Most research on differential MIMO is based on spacetime block codes, aiming to achieve maximum transmit diversity and thus make the transmission more robust by the aid ...
Lingyang Song, Alister G. Burr, Rodrigo C. de Lama...
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 5 months ago
Least Squares Superposition Codes of Moderate Dictionary Size, Reliable at Rates up to Capacity
Sparse superposition codes are developed for the additive white Gaussian noise channel with average codeword power constraint. Codewords are linear combinations of subsets of vecto...
Andrew R. Barron, Antony Joseph
ICASSP
2011
IEEE
13 years 6 days ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad