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» On the Optimal Compression of Sets in PSPACE
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ICIP
2009
IEEE
14 years 9 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman
ESA
2010
Springer
183views Algorithms» more  ESA 2010»
15 years 17 days ago
Spatio-temporal Range Searching over Compressed Kinetic Sensor Data
As sensor networks increase in size and number, efficient techniques are required to process the very large data sets that they generate. Frequently, sensor networks monitor object...
Sorelle A. Friedler, David M. Mount
ESA
2009
Springer
346views Algorithms» more  ESA 2009»
15 years 6 months ago
Hash, Displace, and Compress
A hash function h, i.e., a function from the set U of all keys to the range range [m] = {0, . . . , m − 1} is called a perfect hash function (PHF) for a subset S ⊆ U of size n ...
Djamal Belazzougui, Fabiano C. Botelho, Martin Die...
DATE
2002
IEEE
114views Hardware» more  DATE 2002»
15 years 4 months ago
A Video Compression Case Study on a Reconfigurable VLIW Architecture
In this paper, we investigate the benefits of a flexible, application-specific instruction set by adding a run-time Reconfigurable Functional Unit (RFU) to a VLIW processor. Preli...
Davide Rizzo, Osvaldo Colavin
TIT
2010
174views Education» more  TIT 2010»
14 years 6 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...