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dc.contributor.authorVoulgaris, P. G.en
dc.contributor.authorHadjicostis, Christoforos N.en
dc.creatorVoulgaris, P. G.en
dc.creatorHadjicostis, Christoforos N.en
dc.description.abstractIn this paper we further explore our deterministic worst-case framework for perfect reconstruction of discrete data transmissions through dispersive communication channels. Specifically, we are concerned with perfect reconstruction when the data can be processed in a way that does not increase the energy per-symbol (power). We obtain necessary and sufficient conditions for perfect reconstructibility with power-limited preprocessing for two distinct cases: (i) the case of a single source-destination pair and (ii) the case of a single source with multiple destinations. In both cases, our conditions for perfect reconstructibility are irrespective of the receiver structure. We also discuss via an example the trade-off that arises between the rate of transmission and the minimal power that is required for perfect reconstruction.en
dc.sourceProceedings of the IEEE Conference on Decision and Controlen
dc.sourceProceedings of the IEEE Conference on Decision and Controlen
dc.subjectRandom processesen
dc.subjectSignal processingen
dc.subjectSpurious signal noiseen
dc.subjectCommunication channels (information theory)en
dc.subjectConstraint theoryen
dc.subjectData communication systemsen
dc.subjectBoundary value problemsen
dc.subjectDiscrete data reconstructionen
dc.subjectWorst caseen
dc.subjectData transmissionen
dc.subjectL1 optimalityen
dc.subjectLinear structuresen
dc.subjectMulti-input multi-output (mimo) channelsen
dc.subjectSingle-input single-output (siso) channelsen
dc.titleOptimal preprocessing strategies for perfect reconstruction of binary signals under power-constrained transmissionen
dc.description.endingpage4045Πολυτεχνική Σχολή / Faculty of EngineeringΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidHadjicostis, Christoforos N. [0000-0002-1706-708X]

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