NDLI: A Fast Algorithm for the Quasi-Synchronous Window

Content Provider	IEEE Xplore Digital Library
Author	Xiaofeng Yuan Shuhong Chen Hualong Xu Zhijie Zhou
Copyright Year	2006
Description	Author affiliation: Xi'an High-Tech. Inst. (Xiaofeng Yuan; Shuhong Chen; Hualong Xu; Zhijie Zhou)
Abstract	A fast algorithm based on the central limit theorem is proposed for the quasi-synchronous window in this paper. Based on analysis of the quasi-synchronous window, a probability model is established for the purpose of obtaining the window coefficients. By the means of applying the central limit theorem to the model, it has been proved theoretically that a specific Gaussian window is capable of approximating the quasi-synchronous window accurately while the number of signal cycles is sufficiently large. Parameters of the Gaussian window are analyzed in detail, and some important formulas are given. By approximating the quasi-synchronous window with the specific Gaussian window, computational burden is decreased significantly. Computer simulations demonstrate that the algorithm outperforms both the current FFT based algorithm and the convolution based algorithm remarkably in terms of computational speed, especially when the number of signal cycles is large. In addition, it has been verified that precision of the fast algorithm is perfect
Sponsorship	IEEE ICIC Int. National Natural Sci. Found. of China Beijing Jiaotong Univ. Kaosiung Univ. of Appl. Sci
Starting Page	366
Ending Page	369
File Size	151966
Page Count	4
File Format	PDF
ISBN	0769526160
DOI	10.1109/ICICIC.2006.193
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Semiconductor device measurement Costs Convolution Volume measurement Computer simulation Signal sampling Sampling methods Time measurement Velocity measurement
Content Type	Text
Resource Type	Article

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