Support Theorems for the Radon Transform and Cramér-Wold Theorems

This article presents extensions of the Cramér-Wold theorem to measures that may have infinite mass near the origin. Corresponding results for sequences of measures are presented together with examples showing that the assumptions imposed are sharp. The extensions build on a number of results and methods concerned with injectivity properties of the Radon transform. Using a few tools from distribution theory and Fourier analysis we show that the presented injectivity results for the Radon transform lead to Cramér-Wold type results for measures. One purpose of this article is to contribute to making known to probabilists interesting results for the Radon transform that have been developed essentially during the 1980s and 1990s.     

a阶时延逆系统的小波神经网络实现

研究采用小波神经网络（WNN）构造a阶时延逆系统的工程实现问题，并给出了a阶时延逆系统小波神经网络存在的充分条件。文中利用小波具有的时频局域化特性，完成小波神经网络的初始化，并去除网络中大量不必要的节点，使网络大大简化。仿真研究表明，该方法对a阶时延逆系统的实现具有良好效果。     

信号处理技术在示波分析中的应用

综述了从1991－1999年信号处理技术在示波分析中的应用情况．     

On representations,inversions, and approximations of laplace transforms in banach spaces

The paper extend's some of the basic results of classical Laplace transform theory to the Laplace transform of bounded Bochner integrable functions and the Laplace-Stieltjes transform of Lipschitz continuous functions with values in a Banach space.     

An algorithm for constrained convex optimization

This paper presents a feasible direction algorithm for the minimization of a pseudoconvex function over a smooth, compact, convex set. We establish that each cluster point of the generated sequence is an optimal solution of the problem without introducing anti-jamming procedures. Each iteration of the algorithm involves as subproblems only one line search for a zero of a continuously differentiable convex function and one univariate function minimization on a compact interval.     

伏安法实验数据预处理方法

研究伏安法实验数据的预处理方法，采用基于奇异值分解原理的TLS算法，对经过预处理后的实验数据进行再处理，取得良好的效果，文中着重讨论各种预处理方法的合理性和有效性，并对TLS算法的适用性进行探讨。     

A blind watermarking algorithm resisting to geometric transforms based on SVD

A new watermarking algorithm resisting to geometric transformation based on singular value decomposition(SVD) in logarithm polar coordinate is proposed.The log-polar mapping(LPM) is used to resist rotation and scaling attacks,and the odd-even quantization algorithm is used to embed watermark so it can be extracted without the original host image.The experiments show that the proposed algorithm not only resists various geometric attacks but also is robust enough to the common signal processing.