Abstract The wireless channel is characterized by large statistical variations, which results in wide variations in its response. If the system is designed to meet the worst conditions of the channel, the throughput will be very small and the efficiency will degrade. On the other hand, if the system is designed to track the channel variations, it will yield a larger throughput. In this work, we...

We address MIMO systems in the presence of frequency selective fading. We first describe our channel model, then we derive capacity formula, and finally we develop a linear coding procedure for the obtained channel model. Starting from a physical mobile channel model with known scatterer geometry, we develop a MIMO FIR channel model. Our channel model results in stationary, ergodic vector proce...

This paper presents a practical architecture for joint source-channel coding of human visual model based video transmission over satellite channel. Perceptual distortion model justnoticeable-distortion (JND) is applied to improve the subjective quality of compressed videos. 3D wavelet decomposition can remove spatial and temporal redundancy and provide scalability of video quality. In order to ...

We have evaluated the information theoretical performance of variable rate adaptive channel coding for Rayleigh fading channels. The channel states are detected at the receiver and fed back to the transmitter by means of a noiseless feedback link. Based on the channel state informations, the transmitter can adjust the channel coding scheme accordingly. Coherent channel and arbitrary channel sym...

Progressive image transmission is difficult in the presence of a noisy channel, mainly due to the propagation of errors during the decoding of a progressive bitstream. Excellent results for this problem are made possible through combined source-channel coding – a method that matches the channel code to the source operational rate-distortion as well as channel conditions. This paper focuses on t...

The likelihood decoder is a stochastic decoder that selects the decoded message at random, using the posterior distribution of the true underlying message given the channel output. In this work, we study a generalized version of this decoder where the posterior is proportional to a general function that depends only on the joint empirical distribution of the output vector and the codeword. This...

– An MN-Gallager Code over Galois fields, q, based on the Dynamical Block Posterior probabilities (DBP) for messages with a given set of autocorrelations is presented with the following main results: a) for a binary symmetric channel the threshold, fc, is extrapolated for infinite messages using the scaling relation for the median convergence time, tmed ∝ 1/(fc− f); b) a degradation in the thre...

In this paper, we present a coding strategy for wireless relay networks, where we assume no channel knowledge. More precisely, the relays operate without knowing the channel that affected their received signal, and the receiver decodes knowing none of the channel paths. The coding scheme is inspired by noncoherent differential space-time coding, and is shown to yield a diversity linear in the n...