Title :
The Application of Monte Carlo Analysis in the Sigma-Delta Modulators Stability Design
Author :
Yueyang, Chen ; Shun, Zhong ; Hua, Dang
Author_Institution :
Sch. of Inf. & Electron, Beijing Inst. of Technol., Beijing, China
fDate :
March 31 2009-April 2 2009
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.
Keywords :
Monte Carlo methods; circuit reliability; circuit stability; sigma-delta modulation; MC simulation; Monte Carlo analysis; circuit reliability; random circuit parameter error; sigma-delta modulator stability design; Circuit stability; Computer science; Delta-sigma modulation; Equations; Monte Carlo methods; Noise shaping; Nonlinear filters; Signal analysis; Stability analysis; Transfer functions; MC analysis; Stability; sigma-delta modulators;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.773
