Выдержка
In this paper, an approximation of the optimal compressor function using the quadratic spline functions with 2L = 8 segments is described. Since the quadratic spline with 2L = 8 segments provides better approximation of the optimal compression function than quadratic spline with 2L = 4 segments, capitalizing on the benefits of the obtained spline approximation, quantizer designing process is firstly performed for the so assumed number of segments and the Laplacian source of a unit variance. Then, to enhance the usability of the proposed model, the switched quantization technique is applied and a beneficial analysis is derived, providing insight in the robustness of the proposed quantizer performances with respect to the mismatch in designed for and applied to variances. Reached quality has been compared to another model from the literature, and it has been shown that the proposed model outperforms the previous model by almost 1.3 dB.
| Язык оригинала | Английский |
|---|---|
| Страницы (с-по) | 2348-2355 |
| Число страниц | 8 |
| Журнал | International Journal of Computer Mathematics |
| Том | 94 |
| Номер выпуска | 12 |
| DOI | |
| Состояние | Опубликовано - 2 дек 2017 |
| Опубликовано для внешнего пользования | Да |
Отпечаток
ASJC Scopus subject areas
- Computer Science Applications
- Computational Theory and Mathematics
- Applied Mathematics
Цитировать
Analysis of switched quantizer based on the quadratic spline functions. / Peric, Zoran; Nikolic, Jelena; Velimirovic, Lazar; Panic, Stefan; Stankovic, Miomir.
В: International Journal of Computer Mathematics, Том 94, № 12, 02.12.2017, стр. 2348-2355.Результат исследований: Материалы для журнала › Статья
}
TY - JOUR
T1 - Analysis of switched quantizer based on the quadratic spline functions
AU - Peric, Zoran
AU - Nikolic, Jelena
AU - Velimirovic, Lazar
AU - Panic, Stefan
AU - Stankovic, Miomir
PY - 2017/12/2
Y1 - 2017/12/2
N2 - In this paper, an approximation of the optimal compressor function using the quadratic spline functions with 2L = 8 segments is described. Since the quadratic spline with 2L = 8 segments provides better approximation of the optimal compression function than quadratic spline with 2L = 4 segments, capitalizing on the benefits of the obtained spline approximation, quantizer designing process is firstly performed for the so assumed number of segments and the Laplacian source of a unit variance. Then, to enhance the usability of the proposed model, the switched quantization technique is applied and a beneficial analysis is derived, providing insight in the robustness of the proposed quantizer performances with respect to the mismatch in designed for and applied to variances. Reached quality has been compared to another model from the literature, and it has been shown that the proposed model outperforms the previous model by almost 1.3 dB.
AB - In this paper, an approximation of the optimal compressor function using the quadratic spline functions with 2L = 8 segments is described. Since the quadratic spline with 2L = 8 segments provides better approximation of the optimal compression function than quadratic spline with 2L = 4 segments, capitalizing on the benefits of the obtained spline approximation, quantizer designing process is firstly performed for the so assumed number of segments and the Laplacian source of a unit variance. Then, to enhance the usability of the proposed model, the switched quantization technique is applied and a beneficial analysis is derived, providing insight in the robustness of the proposed quantizer performances with respect to the mismatch in designed for and applied to variances. Reached quality has been compared to another model from the literature, and it has been shown that the proposed model outperforms the previous model by almost 1.3 dB.
KW - compressor function
KW - optimal compression
KW - quadratic spline
KW - scalar compandor
KW - Spline approximations
KW - switched quantization technique
UR - http://www.scopus.com/inward/record.url?scp=85011891113&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85011891113&partnerID=8YFLogxK
U2 - 10.1080/00207160.2017.1283407
DO - 10.1080/00207160.2017.1283407
M3 - Article
AN - SCOPUS:85011891113
VL - 94
SP - 2348
EP - 2355
JO - International Journal of Computer Mathematics
JF - International Journal of Computer Mathematics
SN - 0020-7160
IS - 12
ER -