In this paper we review concepts and methods of communication systems equipped with side information. We focus on the channel coding problem, where side information is available to the transmitter in either a causal or non-causal manner, and we also consider the source coding problem with side information at the receiver. We first summarize the main results for channels with causal/noncausal si...

This thesis treats the problem of source coding in situations where the encoded data is subject to errors. The typical scenario is a communication system, where source data such as speech or images should be transmitted from one point to another. A problem is that most communication systems introduce some sort of error in the transmission. A wireless communication link is prone to introduce ind...

Coding with a single fixed rate may not achieve the maximum throughput of a compound channel if the transmitter only has access to channel state statistics. Superposition coding for broadcast channels can be employed to increase the throughput. We study the optimal rate allocation for finite level superposition coding to maximize the throughput. Results show 2-level superposition coding is adeq...

Recently, various schemes were proposed for parametric coding of stereo and multi-channel audio signals. Binaural Cue Coding (BCC) is such a technique. It represents multi-channel audio signals as a single downmixed channel plus a small amount of side information. BCC can be applied to mono and stereo backwards compatible coding of multi-channel audio signals. In this paper, we propose a genera...

In this paper, the combination of equalization and turbo decoding is studied. In the iterative decoding of a product code in block turbo coding system, the equalization process is performed within the iteration loop. The present study aims to investigate the decision feedback equalizer (DFE) incorporated in the iterative decoding. Simulation results show that the more severe the channel interfe...

For the Gaussian channel with intersymbolinterference (ISI), it is known that there is no loss in channel capacity if the receiver is an ideal minimum mean-squared error (MMSE) decision-feedback equalizer (DFE) with error-free feedback. However, combining the DFE with channel coding is problematic. Transmitter precoding and reduced-state sequence estimation are two common approaches (cf. [1] an...

Recently, the wireless communication requires robust and spectrally efficient communication techniques for fading channel. Thus, for reliable communication, this paper proposes the enhanced adaptive modulation coding in the cooperative communication. The proposed scheme uses modulation coding according to the channel state. When the channel can be estimated and this estimate sent back to the tr...

In this paper we propose a joint source-channel coding scheme for transmission of images over noisy channels. In this scheme, the interaction between the source coding and the channel coding is through a small number of parameters. A robust source coder based on classiication of coeecients of Discrete Wavelet Transform of the image is coupled with a exible error control scheme which uses a bank...

It is widely believed the neurons transmit information in the form of spikes. Since the spike patterns are known to be noisy, the neuron information channel is noisy. We have investigated the channel capacity of this “Spiking neuron channel” for both of the “temporal coding” and the “rate coding,”which are two main coding considered in the neuroscience[1, 2]. As the result, we’ve proved that th...

We introduce techniques that shed new light on the capacity analysis of multiuser channels, and apply these techniques to broadcast and multiple access channels. We rst determine a duality between broadcast and multiple access channels that can be used to obtain the capacity region and optimal transmission strategy for one channel based on the capacity-achieving transmission strategy and region...