Physical-layer network coding (PLNC) has the ability to drastically improve the throughput of multi-source wireless communication systems. In this paper, we focus on the problem of channel tracking in a Decode-and-Forward (DF) OFDM PLNC system. We proposed a Kalman Filter-based algorithm for tracking the frequency/time fading channel in this system. Tracking of the channel is performed in the t...

Source and channel coding are two problems that have traditionally been implemented separately, forming what is known as a tandem source-channel coding system. The separation of channel and source coding is only optimal in an asymptotic sense, i.e., when no constraints exist on the coding block lengths (delay) and on the complexity of the encoder/decoder [1]. Joint source-channel coding, howeve...

Alice wishes to communicate over a noisy channel to Bob. In many engineering problems like wireless networks, the errors are introduced in nature rather than an adversary. The other model where channel is an adversary is also very important, esp. in cryptography. Instead of sending raw message bits, Alice sends a sequence with error correction capabilities so that Bob can counter the noisy beha...

We consider the Slepian-Wolf code design based on LDPC (low-density parity-check) coset codes. We derive the density evolution formula for the Slepian-Wolf coding, equipped with a concentration theorem. An intimate connection between the Slepian-Wolf coding and channel coding is established. Specifically we show that, under density evolution, each Slepian-Wolf source coding problem is equivalen...

This study provides a general diversity analysis for joint complex diversity coding (CDC) and channel coding-based spacetime-frequency codeing is provided. The mapping designs from channel coding to CDC are crucial for efficient exploitation of the diversity potential. This study provides and proves a sufficient condition of full diversity construction with joint three-dimensional CDC and chann...

Digital speech transmission systems use source coding to reduce the bit rate and channel coding to correct transmission errors. Furthermore, in periods of a very poor channel quality error concealment of residual bit errors becomes necessary as channel decoding fails. However, if the channel is clear, channel coding would not be required at all and the speech quality could be improved by allowi...

The RGB color retinal image has an interesting characteristic, i.e. the G channel contains more important information than the other ones. One of the most important features in a retinal image is the retinal blood vessel structure. Many diseases can be diagnosed based on in the retinal blood vessel, such as micro aneurysms that can lead to blindness. In the G channel, the contrast between retin...

Here we write in a unified fashion (using “R(P,Q,D)” [1]) the random coding exponents in channel coding and lossy source coding. We derive their explicit forms and show, that, for a given random codebook distribution Q, the channel decoding error exponent can be viewed as an encoding success exponent in lossy source coding, and the channel correct-decoding exponent can be viewed as an encoding ...

The sensitivity of channel bit error rate (BER) to the turbo coding parameters (i.e., code rate, iterative number and interleave length, etc) and the wireless channel statistic enlightens us to model a BER for turbo coding over Rayleigh channel. The model presented in this paper synthetically considers and quantificationally analyzes the impacts of all the coding parameters and the wireless cha...