NQLib: A Python']Python library for noise-shaping quantizer synthesis

被引：1

作者：

Tanaka, Kenta ^{[1
]}

Minami, Yuki ^{[1
]}

Ishikawa, Masato ^{[1
]}

机构：

[1] Osaka Univ, 2-1 Yamadaoka, Suita, Osaka 5650871, Japan

来源：

SOFTWAREX | 2024年 / 27卷

关键词：

Discrete-valued input control; Dynamic quantizers; Optimal design; !text type='Python']Python[!/text; OPTIMAL DYNAMIC QUANTIZERS;

D O I：

10.1016/j.softx.2024.101792

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Quantizers play an important role in discrete -valued input control. This study aims to develop a practical dynamic quantizer design toolbox in Python. This paper first provides some background on dynamic quantizers. Next, an overview of dynamic quantizers, mathematics, and various design methods are described. Then, the developed tool NQLib is described in detail. Furthermore, an example of designing a dynamic quantizer using NQLib is presented. Finally, the impact of NQLib is described.

引用

页数：7

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