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TIT
2010
112views Education» more  TIT 2010»
12 years 11 months ago
Twice-universal simulation of Markov sources and individual sequences
Abstract-- The problem of universal simulation given a training sequence is studied both in a stochastic setting and for individual sequences. In the stochastic setting, the traini...
Alvaro Martín, Neri Merhav, Gadiel Seroussi...
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Optimal packetization of VLC and convolution coded Markov sequences
We consider the problem of packetizing a variable length coded Markov sequence into fixed length packets, while being protected by variable rate channel code. Given the total tra...
Xiaohan Wang, Xiaolin Wu
CISS
2008
IEEE
13 years 11 months ago
Near optimal lossy source coding and compression-based denoising via Markov chain Monte Carlo
— We propose an implementable new universal lossy source coding algorithm. The new algorithm utilizes two wellknown tools from statistical physics and computer science: Gibbs sam...
Shirin Jalali, Tsachy Weissman
BMCBI
2006
160views more  BMCBI 2006»
13 years 4 months ago
Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources
Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
Mario Stanke, Oliver Schöffmann, Burkhard Mor...
ISLPED
1997
ACM
104views Hardware» more  ISLPED 1997»
13 years 8 months ago
Composite sequence compaction for finite-state machines using block entropy and high-order Markov models
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). B...
Radu Marculescu, Diana Marculescu, Massoud Pedram