Title :
Rate-distortion function for nonstationary time-varying autoregressive (TVAR) processes
Author :
Jia-Chyi Wu ; Daut, David G.
Author_Institution :
Dept. of Commun. & Comput. Eng., Dayeh Univ., Chang-Hua, Taiwan
Abstract :
The Gaussian TVAR process is of primary interest because of its wide applicability to the modeling real-world sources, e.g., speech signals and rasterized image signals. We then investigated and constructed the rate-distortion function R(D) for the class of time-varying nonstationary Gaussian signals. The numerical evaluations of the R(D) function for 1D Gaussian TVAR processes are also presented
Keywords :
Gaussian processes; autoregressive processes; rate distortion theory; signal processing; 1D Gaussian TVAR process; nonstationary time-varying autoregressive processes; rasterized image signals; rate-distortion function; real-world source modeling; speech signals; time-varying nonstationary Gaussian signals; Councils; Difference equations; Eigenvalues and eigenfunctions; Frequency; Performance evaluation; Polynomials; Rate-distortion; Signal processing; Speech processing; Testing;
Conference_Titel :
Information Theory and Communications Workshop, 1999. Proceedings of the 1999 IEEE
Conference_Location :
Kruger National Park
Print_ISBN :
0-7803-5268-8
DOI :
10.1109/ITCOM.1999.781436
