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Data compression can help in relieving congestion by only reducing the effective data size without much effect on throughput. This paper proposes a joint data compression technique in congested networks. The proposed framework combines Lempel Ziv Welch (LZW) and Lightweight Dictionary-based Compression (LDC), the joint LZW and LDC is added on top of the TCP layer. When congestion is detected, the...
In this paper we propose joint optimisation of soft-bit assisted iterative joint source and channel decoding with the aid of our proposed EXIT chart optimised redundant source mapping (RSM) designed for guaranteed convergence to achieve an infinitesimally low bit error ratio (BER). Data-Partitioned (DP) H.264 source coded video is used to evaluate the performance of our system employing an iterative...
In this paper we considered jointly optimised source and channel decoding, while employing serially concatenated and iteratively decoded Short Block Codes (SBC) combined with a Unity Rate Code (URC) and multi-dimensional Sphere Packing (SP) modulation. The resultant coded signal is transmitted over non-coherently detected Multiple-Input Multiple-Output (MIMO) Differential Space-Time Spreading (DSTS)...
Variable length codes (VLCs), used in data compression, are very sensitive to error propagation in the presence of noisy channels. To address this problem, several joint source channel turbo techniques have been proposed in the literature. In this paper, we focus on pairs of source/VLC of low redundancy, i.e., when there is a good match between the source statistics and the length distribution of...
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