Abstract
The substrate noise generated in the mixed signal-integrated circuits, which encapsulates the analog, the RF, and the memory parts, is assumed to possess the non-Gaussian cyclostationary nature. This noise creates interference among the various parts of mixed signal circuits and even within the memory circuits itself. To estimate the PDF parameters of non-Gaussian noise, which is modeled by Cauchy’s distribution function (kind of non-Gaussian), the non-Gaussian noise is modeled by the non-Gaussian mixture density. The PDF parameters are estimated using the maximum log likelihood function, and the priori and post priori updates are used for updating the PDF parameters. The substrate noise in a CMOS inverter and in a chain of five CMOS inverters is estimated first, and then this has been considered as an example of non-Gaussian cyclostationary noise for PDF estimation. The probability density function (PDF) of non-Gaussian cyclostationary noise is analytically estimated in this paper.
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Sharma, M., Singh, P.K., Singh, T., Sharma, S. (2018). Estimation of Probability Density Function of Digital Substrate Noise in Mixed Signal System. In: Woungang, I., Dhurandher, S. (eds) International Conference on Wireless, Intelligent, and Distributed Environment for Communication. WIDECOM 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-75626-4_15
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DOI: https://doi.org/10.1007/978-3-319-75626-4_15
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