IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Improving Switched Current Sigma Delta Modulators’ Performances via the Particle Swarm Optimization Technique

Improving Switched Current Sigma Delta Modulators’ Performances via the Particle Swarm Optimization Technique
View Sample PDF
Author(s): M. Fakhfakh (University of Sfax, Tunisia), S. Masmoudi (University of Sfax, Tunisia), Y. Cooren (University of Paris, France), M. Loulou (University of Sfax, Tunisia)and P. Siarry (University of Paris, France)
Copyright: 2012
Pages: 17
Source title: Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends
Source Author(s)/Editor(s): Peng-Yeng Yin (Ming Chuan University, Taiwan)
DOI: 10.4018/978-1-4666-0270-0.ch010

Purchase


Abstract

This paper presents the optimal design of a switched current sigma delta modulator. The Multi-objective Particle Swarm Optimization technique is adopted to optimize performances of the embryonic cell forming the modulator, that is, a class AB grounded gate switched current memory cell. The embryonic cell was optimized regarding to its main performances such as sampling frequency and signal to noise ratio. The optimized memory cell was used to design the switched current modulator which operates at a 100 MHz sampling frequency and the output signal spectrum presents a 45.75 dB signal to noise ratio.

Related Content

Pawan Kumar, Mukul Bhatnagar, Sanjay Taneja. © 2024. 26 pages.
Kapil Kumar Aggarwal, Atul Sharma, Rumit Kaur, Girish Lakhera. © 2024. 19 pages.
Mohammad Kashif, Puneet Kumar, Sachin Ghai, Satish Kumar. © 2024. 15 pages.
Manjit Kour. © 2024. 13 pages.
Sanjay Taneja, Reepu. © 2024. 19 pages.
Jaspreet Kaur, Ercan Ozen. © 2024. 28 pages.
Hayet Kaddachi, Naceur Benzina. © 2024. 25 pages.
Body Bottom