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CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 6 months ago
Adaptive Methods for Linear Programming Decoding
—Detectability of failures of linear programming (LP) decoding and the potential for improvement by adding new constraints motivate the use of an adaptive approach in selecting t...
Mohammad H. Taghavi, Paul H. Siegel
DCC
2005
IEEE
14 years 5 months ago
Towards Practical Minimum-Entropy Universal Decoding
Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as well as block transmission of information across di...
Todd P. Coleman, Muriel Médard, Michelle Ef...
NAACL
2007
13 years 7 months ago
Randomized Decoding for Selection-and-Ordering Problems
The task of selecting and ordering information appears in multiple contexts in text generation and summarization. For instance, methods for title generation construct a headline b...
Pawan Deshpande, Regina Barzilay, David R. Karger
DASIP
2010
13 years 1 months ago
RVC-CAL dataflow implementations of MPEG AVC/H.264 CABAC decoding
This paper describes the implementation of the MPEG AVC CABAC entropy decoder using the RVC-CAL dataflow programming language. CABAC is the Context based Adaptive Binary Arithmeti...
Endri Bezati, Marco Mattavelli, Mickaël Raule...
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 6 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk