Title :
Asymptotic quantization analysis of high order Gauss-Markov process
Author_Institution :
Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA
fDate :
27 Jun-1 Jul 1994
Abstract :
We address the problem of analyzing several source coding systems for a continuous Gauss-Markov process of any order. By using fine quantization approximations we derive expressions for the time-average smoothed error. Analytical bounds are derived for the time-average smoothed error for the different schemes. The tradeoff between the resolution of the process quantizers, the derivative quantizers and the sampling rate is shown both analytically and experimentally
Keywords :
Gaussian processes; Markov processes; quantisation (signal); signal sampling; source coding; VQ; analytical bounds; asymptotic quantization analysis; continuous Gauss-Markov process; high order Gauss-Markov process; quantization approximations; resolution; sampling rate; source coding systems; time-average smoothed error; Delta modulation; Error analysis; Filters; Gaussian processes; Least squares approximation; Markov processes; Modulation coding; Sampling methods; Source coding; Vector quantization;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.395077
