Title :
Linear analog coding of general multivariate Gaussian sources
Author :
Esnaola, Iñaki ; Garcia-Frias, Javier
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
Abstract :
In this paper we study the performance of linear analog coding of multivariate Gaussian sources and compare it to the theoretical limits. A general performance analysis is presented for both random and optimal linear encoders. Simulation results show the agreement between the theoretical analysis and the practical implementation.
Keywords :
Gaussian processes; linear codes; general multivariate Gaussian sources; linear analog coding; optimal linear encoders; random linear encoders; Additive white noise; Covariance matrix; Decoding; Eigenvalues and eigenfunctions; Gaussian noise; Information theory; Linear code; Matrix decomposition; Performance analysis; Signal to noise ratio;
Conference_Titel :
Information Theory Workshop, 2009. ITW 2009. IEEE
Conference_Location :
Taormina
Print_ISBN :
978-1-4244-4982-8
Electronic_ISBN :
978-1-4244-4983-5
DOI :
10.1109/ITW.2009.5351476
