IRWIN AND JOAN JACOBS CENTER FOR COMMUNICATION AND INFORMATION TECHNOLOGIES Discouraging Selfishness in Lossy Peer-to-Peer Networks

IRWIN AND JOAN JACOBS CENTER FOR COMMUNICATION AND INFORMATION TECHNOLOGIES On the Statistical Physics of Directed Polymers in a Random Medium and Their Relation to Tree-Structed Lossy Compression

Using well–known results from statistical physics, concerning the almost–sure behavior of the free energy of directed polymers in a random medium, we prove that a certain ensemble of tree–structured rate–distortion codes with delayless decoding, asymptotically achieves the rate–distortion function under a certain symmetry condition.

IRWIN AND JOAN JACOBS CENTER FOR COMMUNICATION AND INFORMATION TECHNOLOGIES Data Processing Bounds for Scalar Lossy Source Codes with Side Information at the Decoder

In this paper, we introduce new lower bounds on the distortion of scalar fixedrate codes for lossy compression with side information available at the receiver. These bounds are derived by presenting the relevant random variables as a Markov chain and applying generalized data processing inequalities a la Ziv and Zakai. We show that by replacing the logarithmic function with other functions, in ...

IRWIN AND JOAN JACOBS CENTER FOR COMMUNICATION AND INFORMATION TECHNOLOGIES Erasure/List Exponents for Slepian-Wolf Decoding

IRWIN AND JOAN JACOBS CENTER FOR COMMUNICATION AND INFORMATION TECHNOLOGIES Universal Decoding for Gaussian Intersymbol Interference Channels

IRWIN AND JOAN JACOBS CENTER FOR COMMUNICATION AND INFORMATION TECHNOLOGIES Gaussian beams scattered from different materials