Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1155334 | Statistics & Probability Letters | 2006 | 12 Pages |
Abstract
We consider quantization of continuous-valued random variables and processes in a probabilistic framework. Stochastic structure for non-uniform quantization errors is studied for a wide class of random variables. Asymptotic properties of the additive quantization noise model for a random process are derived for uniform and non-uniform quantizers. Some examples and numerical experiments demonstrating the rate of convergence in the obtained asymptotic results are presented.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Mykola Shykula, Oleg Seleznjev,