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TIT
2008
78views more  TIT 2008»
13 years 4 months ago
Universal Lossless Compression of Erased Symbols
A source XXX goes through an erasure channel whose output is ZZZ. The goal is to compress losslessly XXX when the compressor knows XXX and ZZZ and the decompressor knows ZZZ. We pr...
Jiming Yu, Sergio Verdú
TIT
2008
83views more  TIT 2008»
13 years 4 months ago
The Information Lost in Erasures
Abstract--We consider sources and channels with memory observed through erasure channels. In particular, we examine the impact of sporadic erasures on the fundamental limits of los...
Sergio Verdú, Tsachy Weissman
DCC
2007
IEEE
14 years 4 months ago
High-Rate Analysis of Systematic Lossy Error Protection of a Predictively Encoded Source
We consider a first-order Markov source, which is predictively encoded using a DPCM-style encoder. The quantized compressed prediction residual is transmitted over an erasure chan...
Shantanu Rane, David Rebollo-Monedero, Bernd Girod
TIT
2011
119views more  TIT 2011»
12 years 11 months ago
Redundancy-Related Bounds for Generalized Huffman Codes
— This paper presents new lower and upper bounds for the compression rate of binary prefix codes optimized over memoryless sources according to various nonlinear codeword length...
Michael B. Baer