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ICIP
2007
IEEE
16 years 5 months ago
An Efficient Method for Compressed Sensing
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
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ICIP
2007
IEEE
16 years 5 months ago
Encoding Parameter Estimation for RDTC Optimized Compression and Streaming of Image-Based Scene Representations
Remote navigation in image-based scene representations requires random access to parts of the compressed reference image data to compose virtual views. The degree of dependencies ...
Ingo Bauermann, Eckehard G. Steinbach
VLSID
2006
IEEE
136views VLSI» more  VLSID 2006»
16 years 4 months ago
Improved Data Compression for Serial Interconnected Network on Chip through Unused Significant Bit Removal
Serial links in network on chip provide advantages in terms of reduced wiring area, reduced switch complexity and power. However, serial links offer lower bandwidth in comparison ...
Simon Ogg, Bashir M. Al-Hashimi
STOC
2007
ACM
106views Algorithms» more  STOC 2007»
16 years 4 months ago
One sketch for all: fast algorithms for compressed sensing
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp,...
VLDB
2007
ACM
117views Database» more  VLDB 2007»
16 years 4 months ago
RadixZip: Linear-Time Compression of Token Streams
RadixZip is a block compression technique for token streams. It introduces RadixZip Transform, a linear time algorithm that rearranges bytes using a technique inspired by radix so...
Binh Vo, Gurmeet Singh Manku