Title :
The Degree of Suboptimality of Sending a Lossy Version of the Innovations Process in Gauss-Markov Rate-Distortion
Author :
Kim, Kwang Taik ; Berger, Toby
Author_Institution :
Dept. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY
Abstract :
In critical distortion range, the MSE rate-distortion function of time-discrete stationary Gaussian first-order autoregressive source is equal to that of related time-discrete i.i.d. Gaussian source. For 0 < D les Dc it is necessary to provide additional information of non-negligible positive rate in order to obtain a D-admissible code for the original source via the R-D coding of the innovations process and additional post-processing at the decoder. In this scenario, we provide an explicit expression of additional description rate about the original source to find the degree of suboptimality of sending a lossy version of the innovations process in Gauss-Markov rate-distortion. It is shown that additional description rate is monotone increasing on alpha isin [0,1) and is constant on all critical distortion range
Keywords :
Gaussian processes; Markov processes; autoregressive processes; decoding; rate distortion theory; D-admissible code; Gauss-Markov rate-distortion; Gaussian first-order autoregressive source; decoder; innovations process; time-discrete stationary source; Autocorrelation; Decoding; Difference equations; Distortion measurement; Distributed computing; Eigenvalues and eigenfunctions; Gaussian processes; Rate-distortion; Technological innovation;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
DOI :
10.1109/ISIT.2006.261725