Robust and switched nonuniform scalar quantization of Gaussian source in a wide dynamic range of power |
| |
Authors: | Z Peri? A Mosi? S Pani? |
| |
Affiliation: | (1) Department of Telecommunications, Faculty of Electronic Engineering University of Nis, Aleksandra Medvedeva 14, 18000 Nis, Serbia |
| |
Abstract: | In this paper, robust and switched nonuniform scalar quantization model is analyzed for the case when the power of an input
signal varies in a wide range. This model of scalar quantization is used in order to give higher quality by increasing signal-to-quantization
noise ratio (SNRQ) in a wide range of signal volumes (variances) with respect to its necessary robustness over a broad range of input variances.
We observed μ-low compandor implementation to achieve compromise between high-rate digitalization and variance adaptation.
Accurate estimate of the input signal variance is needed when finding the best compressor function for a compandor implementation.
It enables quantizers to be adapted to the maximal amplitudes of input signals. In addition, we found the expression for distortion,
which we used to estimate the suggested model. In the nature of optimizing parameters of this model, we derived conclusions
about the possibilities of this switched quantization application in speech processing. We analized influence of codebook
size and number on quality of transmission, and compared ITU-T G711 standard with our model. The main contribution of this
model is increasing of quality and the possibility of his applying for digitalization of continuous signals in wide range.
The article is published in the original. |
| |
Keywords: | robust and switched quantization μ -low compounding variance adaptation Gaussian source |
本文献已被 SpringerLink 等数据库收录! |
|