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Open Access research which pushes advances in bionanotechnology

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SIPBS is a major research centre in Scotland focusing on 'new medicines', 'better medicines' and 'better use of medicines'. This includes the exploration of nanoparticles and nanomedicines within the wider research agenda of bionanotechnology, in which the tools of nanotechnology are applied to solve biological problems. At SIPBS multidisciplinary approaches are also pursued to improve bioscience understanding of novel therapeutic targets with the aim of developing therapeutic interventions and the investigation, development and manufacture of drug substances and products.

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Code design for lossless multiterminal networks

Stankovic, V. and Liveris, A.D and Xiong, Z.X. and Georghiades, C.N. (2004) Code design for lossless multiterminal networks. In: IEEE International Symposium on Information Theory, 2004-06-27 - 2004-07-02.

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Abstract

We consider a general multiterminal (NIT) system which consists of L encoders and P decoders [1]. Let X-1,...,X-L be memoryless, uniform, correlated random binary vectors of length n, and let X-1,...,X-L denote their realizations. Let further Sigma = {1,...,L}. The i-th encoder compresses Xi independently from other encoders. The j-th decoder receives the bitstreams from a set of encoders Sigma(j) subset of or equal to Sigma and jointly decodes them. It should reconstruct the received source messages with arbitrarily small probability of error. To construct a practical coding scheme for this network, we exploit the fact that such a network can be split into P subnetworks, each being regarded as a Slepian-Wolf (SW) coding system with multiple sources. This SW subnetwork consists of a decoder which receives encodings of all X-k'S such that k is an element of Sigma(SW) subset of or equal to Sigma and attempts to reconstruct them perfectly. Based on [2], we first provide a code design for this setting, and then extend it to the general case.