Numerical Determination of the Optimal Value of Quantizer’s Segment Threshold Using Quadratic Spline Functions
Lazar Velimirović, Zoran Perić, Miomir Stanković, Jelena Nikolić
Journal of Advances in Mathematics and Computer Science · pp. 500–508 · Published 16 Jun 2013
10.9734/BJMCS/2013/4274Abstract
In this paper, an approximation of the optimal compressor function using the quadratic spline functions has been presented. The coefficients of the quadratic spline functions are determined by minimizing the mean-square error (MSE). Based on the obtained approximative quadratic spline functions, the design for companding quantizer for Gaussian source is done. The support region of proposed companding quantizer is divided on segments of unequal size, where the optimal value of segment threshold is numerically determined depending on maximal value of the signal to quantization noise ratio (SQNR). It is shown that by the companding quantizer proposed in this paper, the SQNR that is very close to SQNR of nonlinear optimal companding quantizer is achieved.
Cited by 0
No indexed citations yet.
Related research
- Robust Estimators for Estimation of Population Variance Using Linear Combination of Downton’s Method and Deciles as Auxiliary Information — shares topic coverage
- Modified Variance Estimators for Non Response Problems in Survey Sampling — shares topic coverage
- Variance Estimation Using Linear Combination of Skewness and Quartiles — shares topic coverage
- Ameliorated Ratio Estimator of Population Mean Using New Linear Combination — shares topic coverage
- Improved and Robust Estimators for Finite Population Variance Using Linear Combination of Probability Weighted Moment and Quartiles as Auxiliary Information — shares topic coverage
Article metrics
Real usage data collected on this platform.
23
Page views
0
PDF downloads
3
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.