We use real-number codes to compress statistically dependent sources and establish a new
framework for distributed lossy source coding in which we compress sources before, rather …

We show how real-number codes can be used to compress correlated sources and
establish a new framework for distributed lossy source coding, in which we quantize …

We show how real-number codes can be used to compress correlated sources, and
establish a new framework for distributed lossy source coding, in which we quantize …

This paper deals with distributed joint source-channel coding (DJSCC) of analog signals
over impulsive noise channel. DJSCC, and distributed source coding (DSC), of analog …

In many emerging applications (eg, distributed sensor networks), multiple correlated sources
need to be separately compressed at distributed terminals before being transmitted to a …

Distributed source coding schemes are typically based on the use of channels codes as
source codes. In this paper we propose a new paradigm, named ldquodistributed arithmetic …

We address the problem of compressing correlated distributed sources, ie, correlated
sources which are not co-located or which cannot cooperate to directly exploit their …

In this paper, we propose a scheme for distributed source coding of correlated sources using
a single systematic LDPC code. In particular, since we are interested in wireless sensor …

In the context of distributed joint source-channel coding, we conceive reduced-complexity
turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating …

The objectives of this article are two-fold: First, to present the problem of joint source and
channel (JSC) coding from a graphical model perspective and second, to propose a …