SYNTHESIS AND FPGA–IMPLEMENTATION BASED NEURAL TECHNIQUE OF A NONLINEAR ADC MODEL

Authors

  • Mounir Bouhedda
  • Mokhtar Attari

DOI:

https://doi.org/10.47839/ijc.4.1.321

Keywords:

Linearization, ADC, Artificial neural network, VHDL, FPGA-implementation

Abstract

The aim of this paper is to introduce a new architecture using Artificial Neural Networks (ANN) in designing a 6-bit nonlinear Analog to Digital Converter (ADC). A study was conducted to synthesise an optimal ANN in view to FPGA (Field Programmable Gate Array) implementation using Very High-speed Integrated Circuit Hardware Description Language (VHDL). Simulation and tests results are carried out to show the efficiency of the designed ANN.

References

M. Attari, F. Boudjema and M. Heniche, “Linearizing a Thermistor Characteristic in the Range of Zero to 100°C With Two Layers Artificial Neural Network,” IEEE Instrumentation and Measurement Technology Conference, IMTC/95, Waltham, Massachusetts (USA), April. 1995, pp. 119-122.

M. Attari, F. Boudjema and M. Heniche, “An Artificial Neural Network to linearize a G (Tungsten vs. Tungsten 26% Rhenium) Thermocouple Characteristic in the Range of Zero to 2000°C,” IEEE International Symposium on Industrial Electronics, ISIE/95, Athens (Greece), Vol.1, July 1995, pp. 176-180.

M. Attari, M. Heniche and F. Boudjema, “A Two Dimensional Calibration of An Ion Sensor,” IEEE Instrumentation and Measurement Technology Conference, IMTC/96, Brussels (Belgium), June. 1996, pp. 789-791.

M. Attari, “Methods For Linearization of Non Linear Sensors,” Fourth Maghrebin Conference on Numerical Methods of Engineering, CMMNI-4, Algiers (Algeria), Vol.1, pp.344-350, Nov.1993.

F. Boudjema M. Attari, S. Bouallag and M. Bouhedda, “A Flash Neural A/D Converter With Gray Coded Outputs,” IFAC-SICICA/97, Pergamon-Elsevier Science, pp. 281-284.

M. Attari, M. Boudjema, M. Bouhedda and S. Bouallag, “A Decentralized Neural Architecture Based A/D Converter With Binary Coded Outputs,” IEEE Instrumentation and Measurement Technology Conference, IMTC/97, Ottawa (Canada), May. 1997, Published also in Computer Standards & Interfaces, Vol.21, Issue 2, June 1999.

M. Bouhedda, M. Attari, F. Boudjema and S. Bouallag, “A Four Bit A/D Converter Synthesized With an Optimal Neural Circuit,” 10th IMEKO TC-4 Conference, ISDDMI/98, Naples, Italy, September 1998, pp. 867-872.

J.M. Zhu et al. “Towards an FPGA based reconfigurable computing environment for neural network implementation", in proceedings of 09th International Conference on Artificial Neural Networks, 2002, pp 661-666, vol.2.

A.R. Airiau et al., VHDL: langage, modelisation, synthese, Presses Polytechniques et Universitaires Romandes, 1998.

M. Bouhedda and M. Attari, “Synthesis and FPGA-Implementation of a Nonlinear A/D Converter With an Optimal Neural Circuit,” IEEE International Conference on Systems, Signals and Devices, SSD/05, Vol. 4, Sousse, Tunisia, Mars. 2005.

J.A. Freeman and D.M.Skapura, Neural Networks: algorithms, applications and programming techniques, Addison Wesley, 1992.

N.B. Karayanis and A.N. Venetsanpoules, Artificial Neural Network: learning algorithm, performance, evaluation and applications, Kluwer Academic Publisher, 1990.

Zhu, J. H. and Peter Sutton, “FPGA implementations of neural networks – a survey of a decade of progress”, 13th International Conference on Field Programmable Logic and Applications, Lisbon, 2003.

J. Verdal and J. Krecl, “Measuring of Flash A/D Converter in Real Time”, Proc. IMEKO TC-4 Workshop on ADC modelling, Smolenice Castle (Slovakia), May 1996, pp. 78-83.

D. Daillet, S. Le Masson, M. Benkais and P. Marchegay, “Statistical Analysis For ADC Transfer Characteristic Parameters And Jitter Determination ”, Proc. IMEKO TC-4 Workshop on ADC modelling, Smolenice Castle (Slovakia), May 1996, pp. 146-151.

D. Daillet, S. Le Masson, M. Benkais and P. Marchegay, “An Overview of The Different Methodologies for The Spectral Analysis in The Dynamic Characterization of A/D converter”, Proc. IMEKO TC-4 Workshop on ADC modelling, Smolenice Castle (Slovakia), May 1996, pp. 152-157.

A. Breitenbach, “Determining figures of merit from analog-to-digital converter output spectra”, Computer Standard & Interfaces, Special Issue ADC modelling and testing, Volume 19, Number 3 and 4, september 1998, Elsevier Science, pp 213-218.

Downloads

Published

2014-08-01

How to Cite

Bouhedda, M., & Attari, M. (2014). SYNTHESIS AND FPGA–IMPLEMENTATION BASED NEURAL TECHNIQUE OF A NONLINEAR ADC MODEL. International Journal of Computing, 4(1), 27-33. https://doi.org/10.47839/ijc.4.1.321

Issue

2005, Volume 4, Issue 1

Section

Articles

License

International Journal of Computing is an open access journal. Authors who publish with this journal agree to the following terms:
•    Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
•    Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
•    Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.