The fast Fourier transform for experimentalists, part VI: Chirp of a bat

被引：5

作者：

Donnelly, D ^{[1
]}

机构：

[1] Siena Coll, Loudonville, NY 12211 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2006年 / 8卷 / 02期

关键词：

D O I：

10.1109/MCSE.2006.33

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An analysis of a bat chirp, which is a signal frequency that varies with time, and the application of Fast Fourier Transform (FFT) in its study, are presented. The most effective approach for the analysis of the frequency of bat chirp is to subdivide the chirp in to shorter time segments and take each one's FFT. The Wigner-Ville distribution (WVD) provides a mechanism to map a one dimensional function of time and frequency, and it is applied to either continuous or discrete dataset. Hilbert-Huang Transform is another approach for extracting frequency information from a signal, which consists the operations of empirical mode decomposition and the extraction of frequency-versus-time information.

引用

页码：72 / 78

页数：7

共 50 条

[1] The fast Fourier transform for experimentalists, part VI: Chirp of a bat (vol 8, pg 77, 2006)
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[J]. COMPUTING IN SCIENCE & ENGINEERING, 2006, 8 (03) : 81 - 81
[2] The fast Fourier transform for experimentalists, part V: Filters
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