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» A Theory for Sampling Signals From a Union of Subspaces
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CORR
2008
Springer
197views Education» more  CORR 2008»
13 years 7 months ago
Sequential adaptive compressed sampling via Huffman codes
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...
Akram Aldroubi, Haichao Wang, Kourosh Zarringhalam
ICASSP
2010
IEEE
13 years 7 months ago
Automatic detection of well sampled images via a new ringing measure
According to Shannon Sampling Theory, Fourier interpolation is the optimal way to reach subpixel accuracy from a properly-sampled digital image. However, for most images this inte...
Gwendoline Blanchet, Lionel Moisan, Bernard Roug&e...
IJON
2006
100views more  IJON 2006»
13 years 7 months ago
Analyzing the robustness of redundant population codes in sensory and feature extraction systems
Sensory systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This redundancy makes the syste...
Christopher J. Rozell, Don H. Johnson
ICIP
2005
IEEE
14 years 9 months ago
Sampling in practice: is the best reconstruction space bandlimited?
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant " space, ...
Sathish Ramani, Dimitri Van De Ville, Michael Unse...
ICASSP
2011
IEEE
12 years 11 months ago
Comparative threshold performance study for conditional and unconditional direction-of-arrival estimation
Comparative analysis of the threshold SNR and/or sample support values where genuine maximum likelihood DOA estimation starts to produce “outliers” is conducted for unconditio...
Yuri I. Abramovich, Ben A. Johnson