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\begin{document}
\title{Size-location patterns of different wavelets in signal processing}
\author{Mong-Shu Lee \\
Dept. of Information and Computer Science\\
National Taiwan Ocean University \\ Keelung, Taiwan R.O.C.}
\date{}
\maketitle
    Wavelets are being a cutting-edge tool in the signal processing area.
One of the characteristics is that wavelets can be used to detect the local changes of a signal(transition), which is the traditional Fourier method can not
do. When we implement the wavelet transform to the signal, the transition of 
signal will reflect upon the magnitude of the coefficients at that location.
In this article, we experiment some signals with wavelets in different length,
then we compare the size-location patterns with distinct wavelets. From these
demonstrations, we conclude that the size-location relation of wavelets
coefficients remains constant from one wavelet to another.
\end{document}
