The application of Monte Carlo analysis in the sigma-delta modulators stability design

Yueyang Chen*, Shun'an Zhong, Hua Dang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The sigma-delta modulators stability design was always unreliable due to the random circuit parameter errors between the practical value and theoretical value. Monte Carlo method has been used to the design of sigma-delta modulators to improve the reliability. Monte Carlo method can give comprehensive consideration of the error and accurate design of the coefficients. It is proven that the MC simulation method used improves the reliability of sigma-delta modulators stability design significantly.

Original languageEnglish
Title of host publication2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Pages380-383
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 - Los Angeles, CA, United States
Duration: 31 Mar 20092 Apr 2009

Publication series

Name2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Volume3

Conference

Conference2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Country/TerritoryUnited States
CityLos Angeles, CA
Period31/03/092/04/09

Keywords

  • MC analysis
  • Sigma-delta modulators
  • Stability

Fingerprint

Dive into the research topics of 'The application of Monte Carlo analysis in the sigma-delta modulators stability design'. Together they form a unique fingerprint.

Cite this