Behavioral Modeling and Simulation of Data Converters
نویسندگان
چکیده
This paper presents a behavioral representation for the class of Nyquist rate A/D converters that captures the nominal behavior , as well as all the statistical variations. To describe noise eeects we use a joint probability density function. To describe behavioral eeects due to process variations we use a covariance matrix, t. Applications of the model include identiication of important A/D error sources, eecient computation of the distributions of integral nonlinearity (INL) and diierential nonlin-earity (DNL), signal-to-noise plus distortion ratio (TSNR), and eecient worst case and Monte Carlo system simulations. Finally , parameter extraction results are presented that agree well with actual measurements.
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