DocumentCode :
285723
Title :
Automatic multi-level macromodel generation for data conversion systems employing binary-weighted capacitor-arrays
Author :
Horta, N.C. ; Vital, J. ; Franca, J.E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Inst. Superior Tecnico, Lisbon, Portugal
Volume :
5
fYear :
1992
fDate :
10-13 May 1992
Firstpage :
2561
Abstract :
Describes the generation of nonideal subcircuit behavioral models and macromodels for data conversion systems employing binary-weighted capacitor-arrays. The behavioral simulation is capable of performing a Monte Carlo analysis of the circuit under evaluation as well as determining the spectral characteristics of the converted signals and the resulting integral nonlinearity and differential nonlinearity. The behavioral simulation is event-driven-oriented to achieve improved time-efficiency in comparison which Spice-like mixed-mode simulators. It is demonstrated that the accuracy of the simulation results obtained with the proposed macromodels matches the accuracy of the results obtained through behavioral and mixed analog-digital simulation, and a significant improvement in the simulation time is achieved
Keywords :
Monte Carlo methods; circuit analysis computing; data conversion; digital simulation; Monte Carlo analysis; binary-weighted capacitor-arrays; data conversion systems; differential nonlinearity; integral nonlinearity; macromodels; mixed analog-digital simulation; nonideal subcircuit behavioral models; simulation time; spectral characteristics; time-efficiency; Analog-digital conversion; Analytical models; Circuit analysis; Circuit simulation; Data conversion; Discrete event simulation; Monte Carlo methods; Performance analysis; Performance evaluation; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
Type :
conf
DOI :
10.1109/ISCAS.1992.230463
Filename :
230463
Link To Document :
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