FPGA Implementation of Neural Nonlinear ADC-based Temperature Measurement System

Author

Bouhedda, Mounir ; Attari, Mokhtar ; Granado, Bertrand

Author_Institution

Univ. of Medea, Medea

fYear

2007

fDate

6-8 Sept. 2007

Firstpage

232

Lastpage

237

Abstract

A new architecture for a 8-bit flash nonlinear analog to digital converter (NADC) with reduced complexity is proposed. The design of this NADC is module oriented using an optimal artificial neural network (NN) modelization. The 8-bit NADC is developed by using 4-bit NADC with appropriates analog circuits. The 8-bit NADC neural architecture was optimized in view to field programmable gate array (FPGA) implementation using very high-speed integrated circuit hardware description language (VHDL). Tests results are given to verify the implemented proposed NADC.

Keywords

convertors; field programmable gate arrays; hardware description languages; measurement systems; neural chips; neural net architecture; 8-bit NADC neural architecture; FPGA; field programmable gate array; neural nonlinear ADC; nonlinear analog to digital converter; optimal artificial neural network; temperature measurement system; very high-speed integrated circuit hardware description language; Analog circuits; Analog-digital conversion; Artificial neural networks; Circuit testing; Field programmable analog arrays; Field programmable gate arrays; Hardware design languages; High speed integrated circuits; Neural networks; Temperature measurement; Analog to digital conversion; Artificial Neural network; FPGA; Linearization; VHDL;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on

Conference_Location

Dortmund

Print_ISBN

978-1-4244-1347-8

Electronic_ISBN

978-1-4244-1348-5

Type

conf

DOI

10.1109/IDAACS.2007.4488411

Filename

4488411