Title :
Behavioral-level performance modeling of analog and mixed-signal systems using support vector machines
Author :
Ren, X. ; Kazmierski, T.J.
Author_Institution :
Sch. of Electron. & Comput. Sci., Southampton Univ.
Abstract :
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
Keywords :
circuit simulation; integrated circuit design; integrated circuit modelling; mixed analogue-digital integrated circuits; sigma-delta modulation; support vector machines; SVM; behavioral-level analog/mixed-signal system performance modeling; sigma-delta modulator; support vector machine; Circuits; Computer science; Delta-sigma modulation; Hardware; Kernel; Power system modeling; Process design; Risk management; Support vector machines; System performance;
Conference_Titel :
Behavioral Modeling and Simulation Workshop, Proceedings of the 2006 IEEE International
Conference_Location :
San Jose, CA
Print_ISBN :
0-7803-9742-8
DOI :
10.1109/BMAS.2006.283465
