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» A Sparser Johnson-Lindenstrauss Transform
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SODA
2008
ACM
144views Algorithms» more  SODA 2008»
13 years 7 months ago
Fast dimension reduction using Rademacher series on dual BCH codes
The Fast Johnson-Lindenstrauss Transform (FJLT) was recently discovered by Ailon and Chazelle as a novel technique for performing fast dimension reduction with small distortion fr...
Nir Ailon, Edo Liberty
ICASSP
2011
IEEE
12 years 9 months ago
Sparse decomposition of transformation-invariant signals with continuous basis pursuit
Consider the decomposition of a signal into features that undergo transformations drawn from a continuous family. Current methods discretely sample the transformations and apply s...
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Sim...
ICIP
2009
IEEE
14 years 6 months ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
DOCENG
2003
ACM
13 years 11 months ago
Lazy XSL transformations
We introduce a lazy XSLT interpreter that provides random access to the transformation result. This allows efficient pipelining of transformation sequences. Nodes of the result tr...
Steffen Schott, Markus L. Noga
TASLP
2008
82views more  TASLP 2008»
13 years 5 months ago
Union of MDCT Bases for Audio Coding
This paper investigates the use of sparse overcomplete decompositions for audio coding. Audio signals are decomposed over a redundant union of modified discrete cosine transform (M...
Emmanuel Ravelli, Gaël Richard, Laurent Daude...