Title :
Optimal preprocessing strategies for perfect reconstruction of binary signals under power-constrained transmission
Author :
Voulgaris, Petros G. ; Hadjicostis, Christoforos N.
Author_Institution :
Dept. of Aeronaut. & Astronaut. Eng., Illinois Univ., Urbana, IL, USA
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 reconstructability 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 reconstructability 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.
Keywords :
data communication; signal reconstruction; binary signals; deterministic worst-case framework; discrete data transmissions; dispersive communication channels; l1 optimality; necessary and sufficient conditions; optimal preprocessing strategies; perfect reconstructability; perfect signal reconstruction; power-constrained transmission; Communication channels; Data communication; Decision feedback equalizers; Delay; Dispersion; Extraterrestrial measurements; Noise measurement; Stochastic resonance; Sufficient conditions; Uncertainty;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1429384