Simulation & performance analysis of various R2R D/A converter using various topologies-Reference-Cited by-同舟云学术

Simulation & performance analysis of various R2R D/A converter using various topologies

Published:2018-04-04 Issue:2 Volume:4 Page:
ISSN:2574-8092
Container-title:International Robotics & Automation Journal
language:
Short-container-title:IRATJ

Author:

Whig Pawan

Publisher

MedCrave Group, LLC

Subject

Industrial and Manufacturing Engineering

Reference28 articles.

1. Current-steering digital-to-analogconverters: functional specifications,design basics, and behavioral modeling;Myderrizi;IEEE Antennas and Propagation Magazine,2010

2. Laser fine-tuneable deep-submicrometer CMOS 14-bit DAC;Marche;IEEE Translations on Circuit and Systems-I,2008

3. Pawan Whig, Ahmad SN. Simulation of linear dynamic macro model of photo catalytic sensor in spice. International journal of computation and mathematics in electrical and electronic engineering. 2014;33(1/2).

4. A Heterogeneous 16-bit dac using replica compensation;Seo;IEEE Transactions on Circuit and Systems,2008

5. Vaibhav Bhatia, Pawan Whig. A secured dual tune multi frequency based smart elevator control system. International journal of research in engineering and advanced technology. 2013.

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