Title :
Extracting signal frequency information in time/frequency domain by means of continuous wavelet transform
Author_Institution :
Univ. of Missouri-Rolla, Rolla
Abstract :
In this paper, the techniques for extracting signal frequency information in time/frequency domain by means of continuous wavelet transform are presented and the novel "maximum wavelet coefficient frequency-time curve" method, together with "sum wavelet coefficient curve" method are proposed to overcome some shortfalls of existing continuous wavelet transform in signal frequency extracting. The experimental data and the Matlab generated data are calculated with continuous wavelet transform, and further analyzed with four wavelet coefficient evaluation methods, including proposed methods, showing different evaluation method characteristics that can be a reference for choosing suitable methods for different applications.
Keywords :
signal processing; wavelet transforms; Matlab data; continuous wavelet transform; frequency domain; maximum wavelet coefficient frequency-time curve; signal frequency information extraction; sum wavelet coefficient curve; time domain; wavelet coefficient evaluation; Character generation; Continuous wavelet transforms; Data mining; Frequency domain analysis; Signal analysis; Switches; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms; Measurement; Signal processing; Wavelet;
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
DOI :
10.1109/ICCAS.2007.4406970
