Optimality Conditions for Nonsmooth Extremum Problems in Topological Vector Spaces

Some new concepts of coneD_s convexity,coneD-s quasiconvexity,cone D-s pseudoconvexity,s right derivative of vector value mapping are proposed;and their related properties are discussed;the optimality necessary conditions and sufficient conditions for constrained extremum problem(VP)involving in cone D-s convex mapping are extablished;the relation between local optimal solution and global optimal solution;as well as the relation between weakly efficient solution and efficient solution for (VP) are derived;the corresponding results generalize the related results of classic convex programming.     

Detection of Edges within the Cross Sectionfrom Projections of Parallel Beams Via the Wavelet Method

The wavelet analysis are used in the detection of edges within the cross sectionfrom projections of parallel beams. This method can be applied in computerized tomography (CT) inorder to reduce the noise and the number of projections.     

Wavelet Edge Detection Method Based-on Multi-scale Fuzzy Logic

A novel edge detection algorithm is proposed by implementing fuzzy image enhancement at different scales.The implement of this algorithm can reduce the negative influence bring from the non-maximum suppression algorithm which select only one threshold.The success of the approach depends on the selection of a general fuzzy operator(GFO) for the enhancement of contrast of region after smoothing of image at different scales.Consequently,it is more obvious that coarse intensity changes are obtained at a large scale whereas the fine details of intensity changes are obtained at a small scale.A pretty performance is obtained by used this work.     

Time-frequency Analysis of Heart Sound

The structural defects of the heart are often reflected in the sounds that heart produces. Because of the non-stationary of the PCG signal, it is important to maintain its time-frequency character. We discuss the Short-Time Fourier Transform (STFT) method and the wavelet method. Some normal and abnormal heart sounds were analyzed by these methods. We can see the advantage and disadvantage of them obviously from the examples.     

Optimal Design of Plane Cascades Based on Wavelet Theory

Based on the optimal control theory and Lagrange interpolation an optimal design model of plane cascades of 3D blade in an arbitrary surface of revolution is established. Using wavelet theory to solve the model, and lots of numerical results are obtained. The results show that the wavelet method is more effective than the conventional methods.     

Application of Wavelet Transform to De-noising Method

The wavelet transform is a new subject developed quickly in the past ten years. Compared with the Fourier transform, the wavelet transform is a part of time-frequency transform. The most important character is that it can be used to transform a signal into basic units at different scales and location, each unit represents a component of original signal difference from others. The wavelet transform has been proven to be a powerful and efficient tool for processing signal due to this character. This paper introduces the de-noising principles of the wavelet transform. It is proved to be an effective method by the simulating analysis.     

A Medical Image Quantization Method Suited for PACS

Image compression is very important in picture archiving and communication system(PACS). The author studied the statistical distribution of image wavelet subimage coefficients and concluded that the distribution of wavelet subimage coefficients is similar to that of Laplasian distribution. On the other hand, in image reconstruction, the coefficient with different amplitude owns different weight, and different accuracy can be applied to different coefficients according to their different weight. Then, the author has designed a image quantization encoding scheme for PACS. In this scheme, they selected the sample-standard-deviation of coefficients in every subimage as the quantization threshold, and accurately encoded those coefficients with higher weight. Also, this algorithm utilized the visual character of human. The test has proved that the main advantages of this method are the simplicity in computing and predictable encoded coefficients, and a high compression efficiency can obtain too.     

Context Model Based on 3D Wavelet Coefficients

Based on by typical coding schemes such as EZW,SPIHT, EBCOT,3D-IEZW,3D-SPIHT and 3D-ESCOT,a context model(3D-OWNER) of wavelet coefficients is proposed,which makes use of partial order,self-similarity between subbands of wavelet coefficients and the correlation of neighboring wavelet coefficients.Experimental results show that the model can achieve higher PSNR than 3D-ESCOT.     

基于小波分析的玉米籽粒图像正形研究

近年来,通过对玉米籽粒的尺寸、外形、色泽等方面的研究,已获得了一些必要的单籽粒的视觉信息。但是,对于粮食作物而言,只有实现了作物籽粒的大规模、快速识别,才有可能在实际生产中得到广泛应用。为此,采用图像标记法,对含有众多的、散放的玉米籽粒图像进行处理,对标记图像中的像素进行逻辑判断,采用多尺度小波分析算法,实现籽粒分割、定位及正形。     

小波分析在拖拉机齿轮箱故障诊断中的应用

在分析了采用傅立叶变换对拖拉机齿轮箱故障诊断进行信号分析技术所存在的不足的基础上，提出了采用小波变换对该信号进行分析处理时，基小波选取的方法。同时在对拖拉机齿轮箱故障诊断的实际应用中，用齿轮箱振动的加速度信号对傅立叶变换和小波变换的结果进行了比较，证明了应用小波变换能准确反映齿轮箱故障的结果，并提出用小波变换可以建立故障自动诊断系统。