Polar codes are introduced for discrete memoryless broadcast channels. For m-user
deterministic broadcast channels, polarization is applied to map uniformly random message …

In this paper we consider the lossy compression of a binary symmetric source. We present a
scheme that provides a low complexity lossy compressor with near optimal empirical …

Belief propagation (BP) is a popular method for performing probabilistic inference on
graphical models. In this work, we enhance BP and propose self-guided belief propagation …

In this paper, a new variable length coding scheme using a low density parity check (LDPC)
code is proposed for the lossy compression of general iid finite sources. It is proved that the …

Recently, lossy source coding based on linear block code has been designed using the
duality principle, ie, the channel decoding algorithm is employed to realize the lossy source …

This paper focus on the lossy compression of a binary symmetric source. We propose a new
algorithm for binary quantization over low density generator matrix (LDGM) codes. The …

Considering the high compression requirements of transmission, lossy block codes are
particularly concerned due to their good compression performance and simple …

This paper presents a low complexity lossy compression algorithm with protograph LDPC
codes (Lossy P-LDPC Codes) over GF (2), for binary symmetric sources. The proposed …

We construct and analyze polar codes for the de-terministic broadcast channel (DBC) which
is comprised of one source transmitting independent messages to m receivers. For any input …

Neural networks are able to extract information from the timing of spikes. Here we provide
new results on the behavior of the simplest neuronal model which is able to decode …