Ren, Xianqiang and Kazmierski, Tom
Behavioral-level performance modeling of analog and mixed-signal systems using support vector machines.
At Behavioral modeling and simulation conference, San Jose, California, USA,
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This paper presents a novel behavioral-level analog and mixed- signal (AMS) system performance modeling methodology using support vector machines (SVM). The method relies on linearly graded sub-spaces to model complex multi-dimensional performance spaces. A detailed evaluation of the method has been carried out for the purpose of potential use for AMS synthesis. The method has been applied to a complex non- ideal 2nd order Sigma-Delta modulator (SDM) and results show good accuracy of performance modeling and numerical efficiency.
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