DocumentCode
3762849
Title
A comparative analysis of optimized CMOS neural amplifier
Author
Ahmed El-Attar;Saif Ahmed;Youssef Abdelkader;Mohamed Badran;Ali H. Hassan;Hassan Mostafa
Author_Institution
Electronics and Communications Engineering Department, Cairo University, Giza 12613, Egypt
fYear
2015
Firstpage
107
Lastpage
110
Abstract
This paper investigates various implementation techniques of neural amplifiers with emphasis on their design performance metrics and trade-offs such as gain, noise, power consumption, and area. The proposed comparative analysis covers the recently published neural amplifiers in the literature, and proposes a basic optimization method for these amplifiers. These amplifiers are redesigned using UMC 130nm CMOS technology for fair comparison.
Keywords
"Power demand","Capacitors","Transistors","Resistors","Couplings","Sensors","Threshold voltage"
Publisher
ieee
Conference_Titel
Microelectronics (ICM), 2015 27th International Conference on
Electronic_ISBN
2159-1679
Type
conf
DOI
10.1109/ICM.2015.7437999
Filename
7437999
Link To Document