Title :
Asymptotically Optimal Joint Source-Channel Coding with Minimal Delay
Author :
Kleiner, Marius ; Rimoldi, Bixio
Author_Institution :
Sch. of Comput. & Commun. Sci., Ecole Poly Tech. Fed. de Lausanne, Lausanne, Switzerland
Abstract :
We present and analyze a joint source-channel coding strategy for the transmission of a Gaussian source across a Gaussian channel in n channel uses per source symbol. Among all such strategies, the scheme presented here has the following properties: i) the resulting mean-squared error scales optimally with the signal-to-noise ratio, and ii) the scheme is easy to implement and the incurred delay is minimal, in the sense that a single source symbol is encoded at a time.
Keywords :
Gaussian channels; combined source-channel coding; mean square error methods; Gaussian channel; Gaussian source; asymptotically optimal joint source-channel coding; mean-squared error; minimal delay; signal-to-noise ratio; single source symbol; Decoding; Delay effects; Error correction; Gaussian channels; H infinity control; Jacobian matrices; Quantization; Rate-distortion; Signal to noise ratio; Visualization;
Conference_Titel :
Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-4148-8
DOI :
10.1109/GLOCOM.2009.5425427