DocumentCode
3235894
Title
A New Approach for Modeling the Nonlinearity of Analog to Digital Converters Based on Spectral Components
Author
Saada, Nehal H. ; Guindi, Rafik S. ; Salama, Aly E.
Author_Institution
Mentor Graphics Corp., Beaverton, OR
fYear
2006
fDate
14-15 Sept. 2006
Firstpage
120
Lastpage
125
Abstract
This paper presents a novel modeling approach for analog to digital converters (ADCs). The non linearity of the converter is modeled using a linear combination of Chebyshev polynomials. The model relies on a fast Fourier transform (FFT) test applied to the output of the ADC. The harmonics extracted from the FFT test are the coefficients of the Chebyshev polynomials. The model appears to be much faster, compared to real circuits and models developed with other techniques, without losing much accuracy. The proposed model is convenient for all architectures of ADCs with high resolution bits
Keywords
Chebyshev approximation; analogue-digital conversion; fast Fourier transforms; polynomial approximation; Chebyshev polynomials; analog to digital converters; fast Fourier transform; integral nonlinearity; Analog-digital conversion; Chebyshev approximation; Circuit simulation; Circuit testing; Fast Fourier transforms; Graphics; Linearity; Polynomials; Quantization; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Behavioral Modeling and Simulation Workshop, Proceedings of the 2006 IEEE International
Conference_Location
San Jose, CA
Print_ISBN
0-7803-9742-8
Type
conf
DOI
10.1109/BMAS.2006.283481
Filename
4062063
Link To Document