The mathematic relation between wavelet spectrum and Fourier spectrum is deduced strictly, and their link and difference are analysed in detail.

5 km of length, in Hubei province and satisfing the needs of engineering aseismic design, the dynamic characteristics of soil layers of the embankment are observed by using the method of pulsative oscillation,and the data are analyzed by means of Fourier spectrum method.

Improved Fourier transform profilometry with non-phase-shifting method;

Using discrete Fourier transform for interpolation of 3-D MT data.;

The spectrum whitening based on Fourier transform and the frequency increaseof orthogonal wavelets can be used to raise the resolution of seismic data;however,they divide frequency roughly,so that signal energy varies greatly in different frequency bands, often causing the "noodles phenomenon"of signals in time domain.

Filter characteristic analysis of Fourier algorithm;

Discussion on the Fourier algorithm application;

Study of improved Fourier algorithm for microprocesson-based protection in power system;

How does jitter frequency reduce EMI from the viewpoint of fourier series theory and the transient electromagnetic field theory is investigated.

This paper discusses the relation between Fourier series and wavelet transform.

This paper that is based on the Fourier Series and applies the Chebyshev polynomials wonderfuly, gives the distribution function of a randowm variable utilizing its moments, In spite of this distribution function s form in thd series, its value can calculated easily with a computer.

The algorithm can eliminate the spectral leakage and the barrier effect of the traditional Fourier filter.