By observating the distributions of the maxima and the minima of wave surface in wind wave channel, the non-linear effect in the distributions is reflected in the difference of the probability of exceedence between the maxima and the minima.

The study is made on the statistical distribution of the horizontal accelerations of water particles at wave surface maxima.

On the basis of the linear model of random sea waves presented by LonguetHiggins, the statistical distribution of the horizontal velocities of water elements at wave surface maxima is derived theoretically.

In the inquiring of content-based image retrieval,gives the research on retrieval technology of based on wavelet modulus maxima and moment invariant feature together,and gives the implement of relative algorithm and the analysis of result.

Then it explains the orthogonal wavelet transform of denoising based on soft and hard threshold,and puts forward a denoising method based on the wavelet modulus maxima and Neyman-Pearson principle.

An automatic image recognition algorithm was proposed based on wavelet modulus maxima and wavelet moment invariants were improved.

Using on the algorithms of wavelet modulus maximum value to denoise the palm shape image,this paper builds up maximum matrix and trace matrix,resolves the S/N(signal/noise ratio) property of wavelet coefficient and eliminates the wavelet coefficient maximum of the noisy part,so that the noisy pollution is restrained.

Firstly,the grey scale image is transformed by wavelet modulus maximum to get multi-scale edge images.

It proposes that the wavelet modulus maximum algorithm be used to detect video texts.

Study on denoising algorithm based on improved modulus maximum wavelet field;

A novel denoising algorithm based on modulus maximum wavelet field is presented.