Optimal preprocessing strategies for perfect reconstruction of binary signals under power-constrained transmission
dc.contributor.author | Voulgaris, P. G. | en |
dc.contributor.author | Hadjicostis, Christoforos N. | en |
dc.creator | Voulgaris, P. G. | en |
dc.creator | Hadjicostis, Christoforos N. | en |
dc.date.accessioned | 2019-04-08T07:48:40Z | |
dc.date.available | 2019-04-08T07:48:40Z | |
dc.date.issued | 2004 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/45066 | |
dc.description.abstract | In 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.source | Proceedings of the IEEE Conference on Decision and Control | en |
dc.source | Proceedings of the IEEE Conference on Decision and Control | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-14244263941&partnerID=40&md5=506b831dba72cfb3b8d8d085ad4c3a5e | |
dc.subject | Random processes | en |
dc.subject | Algorithms | en |
dc.subject | Probability | en |
dc.subject | Signal processing | en |
dc.subject | Spurious signal noise | en |
dc.subject | Communication channels (information theory) | en |
dc.subject | Constraint theory | en |
dc.subject | Data communication systems | en |
dc.subject | Broadcasting | en |
dc.subject | Boundary value problems | en |
dc.subject | Equalizers | en |
dc.subject | Discrete data reconstruction | en |
dc.subject | Worst case | en |
dc.subject | Data transmission | en |
dc.subject | L1 optimality | en |
dc.subject | Linear structures | en |
dc.subject | Multi-input multi-output (mimo) channels | en |
dc.subject | Single-input single-output (siso) channels | en |
dc.title | Optimal preprocessing strategies for perfect reconstruction of binary signals under power-constrained transmission | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.volume | 4 | |
dc.description.startingpage | 4040 | |
dc.description.endingpage | 4045 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Hadjicostis, Christoforos N. [0000-0002-1706-708X] | |
dc.gnosis.orcid | 0000-0002-1706-708X |
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