Optimal preprocessing strategies for perfect reconstruction of binary signals under power-constrained transmission

Petros G Voulgaris, Christoforos N. Hadjicostis

Research output: Contribution to journalConference article

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.

Original languageEnglish (US)
Pages (from-to)4040-4045
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume4
StatePublished - Dec 1 2004
Event2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas
Duration: Dec 14 2004Dec 17 2004

Fingerprint

Data communication systems
Preprocessing
Binary
Discrete Data
Communication Channels
Data Transmission
Receiver
Trade-offs
Strategy
Distinct
Necessary Conditions
Sufficient Conditions
Energy

Keywords

  • Discrete data reconstruction
  • L optimality
  • Worst case

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Optimal preprocessing strategies for perfect reconstruction of binary signals under power-constrained transmission. / Voulgaris, Petros G; Hadjicostis, Christoforos N.

In: Proceedings of the IEEE Conference on Decision and Control, Vol. 4, 01.12.2004, p. 4040-4045.

Research output: Contribution to journalConference article

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