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» Practical Prefetching via Data Compression
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SIGMOD
1993
ACM
101views Database» more  SIGMOD 1993»
13 years 10 months ago
Practical Prefetching via Data Compression
Kenneth M. Curewitz, P. Krishnan, Jeffrey Scott Vi...
ICASSP
2011
IEEE
12 years 10 months ago
Eigenspace sparsity for compression and denoising
Sparsity in the eigenspace of signal covariance matrices is exploited in this paper for compression and denoising. Dimensionality reduction (DR) and quantization modules present i...
Ioannis D. Schizas, Georgios B. Giannakis
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 6 months ago
Compressed Sensing with Coherent and Redundant Dictionaries
This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such signals are not sparse in an orthonormal basis or ...
Emmanuel J. Candès, Yonina C. Eldar, Deanna...
CORR
2008
Springer
121views Education» more  CORR 2008»
13 years 6 months ago
Rate-Distortion via Markov Chain Monte Carlo
We propose an approach to lossy source coding, utilizing ideas from Gibbs sampling, simulated annealing, and Markov Chain Monte Carlo (MCMC). The idea is to sample a reconstructio...
Shirin Jalali, Tsachy Weissman
GLOBECOM
2009
IEEE
13 years 9 months ago
Compressed Sensing Reception of Bursty UWB Impulse Radio is Robust to Narrow-Band Interference
—We have recently proposed a novel receiver for Ultra-Wide-band Impulse-Radio communication in bursty applications like Wireless Sensor Networks. The receiver, based on the princ...
Anand Oka, Lutz H.-J. Lampe