DocumentCode :
3548103
Title :
A novel wavelet method for noise analysis of nonlinear circuits
Author :
Zeng, Xuan ; Liu, Bang ; Tao, Jun ; Chiang, Charles ; Zhou, Dian
Author_Institution :
Dept. of Microelectron., Fudan Univ., Shanghai, China
Volume :
1
fYear :
2005
fDate :
18-21 Jan. 2005
Firstpage :
471
Abstract :
In this paper, a novel wavelet method is proposed for noise analysis of nonlinear circuits. Compared with the existing algorithms capable of accessing circuit performance in the present of noise, the proposed method presents several merits. First, it fully accounts for nonlinearities. Second, it can handle signals with continuous frequency spectra. Third, by taking advantage of the properties of the wavelet bases, such as local compactness and multi-resolution, it holds high simulation speed and high accuracy. Furthermore, an adaptive scheme exists to automatically select the wavelet basis functions for a desired accuracy. All these merits make the novel wavelet method outperforms its previous techniques.
Keywords :
circuit noise; nonlinear network analysis; wavelet transforms; adaptive scheme; continuous frequency spectra; local compactness; noise analysis; nonlinear circuits; wavelet basis functions; wavelet method; Circuit analysis; Circuit noise; Circuit simulation; Computational modeling; Continuous wavelet transforms; Fourier series; Frequency domain analysis; Nonlinear circuits; Nonlinear equations; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2005. Proceedings of the ASP-DAC 2005. Asia and South Pacific
Print_ISBN :
0-7803-8736-8
Type :
conf
DOI :
10.1109/ASPDAC.2005.1466209
Filename :
1466209
Link To Document :
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