ADC neural modeling

被引：10

作者：

Bernieri, A

Daponte, P

Grimaldi, D

机构：

[1] UNIV SALERNO, DEPT INFORMAT & ELECT ENGN, I-84084 FISCIANO, ITALY

[2] UNIV CALABRIA, DEPT ELECT COMP SYST SCI, I-87030 Arcavacata Di Rende, ITALY

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 1996年 / 45卷 / 02期

关键词：

D O I：

10.1109/19.492800

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper deals with a neural network-based approach for A/D converter (ADC) modeling, This approach is initially developed with reference to an ADC mathematical model, allowing the neural modeling to be properly set up, Subsequently, a neural model of a real ADC is identified and validated, highlighting the performance of the proposed approach in terms of ease of model building and result accuracy.

引用

页码：627 / 633

页数：7

共 26 条

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