一类新的Haar子空间中最佳逼近的唯一性

研究了广义限制域最佳逼近问题.引入一个L^*-Haar子空间的概念,建立了该Haar子空间中最佳逼近的唯一性和强唯一性.     

A novel method for computing the Hilbert transform with Haar multiresolution approximation

In this paper, an algorithm for computing the Hilbert transform based on the Haar multiresolution approximation is proposed and the L²$L^2$-error is estimated. Experimental results show that it outperforms the library function ‘hilbert’ in Matlab (The MathWorks, Inc. 1994–2007). Finally it is applied to compute the instantaneous phase of signals approximately and is compared with three existing methods.     

Haar wavelet method for solving Fisher’s equation

In this paper, we develop an accurate and efficient Haar wavelet solution of Fisher’s equation, a prototypical reaction-diffusion equation. The solutions of Fisher’s equation are characterized by propagating fronts that can be very steep for large values of the reaction rate coefficient. There is an ongoing effort to better adapt Haar wavelet methods to the solution of differential equations with solutions that resemble shock waves or fronts typical of hyperbolic partial differential equations. Moreover the use of Haar wavelets is found to be accurate, simple, fast, flexible, convenient, small computation costs and computationally attractive.     

Universal optimality of digital nets and lattice designs

This article considers universal optimality of digital nets and lattice designs in a regression model. Based on the equivalence theorem for matrix means and majorization theory,the necessary and sufficient conditions for lattice designs being φp-and universally optimal in trigonometric function and Chebyshev polynomial regression models are obtained. It is shown that digital nets are universally optimal for both complete and incomplete Walsh function regression models under some specified conditions,and are...     

Solving 2D and 3D Poisson equations and biharmonic equations by the Haar wavelet method

In this paper, we present a computational method for solving 2D and 3D Poisson equations and biharmonic equations which based on the use of Haar wavelets. The highest derivative appearing in the differential equation is expanded into the Haar series, this approximation is integrated while the boundary conditions are incorporated by using integration constants. In 2D the first transform the spectral coefficients into the nodal variable values and then use Kronecker products to construct the approximations for derivatives over a tensor product grid of the horizontal and vertical blocks. Finally, solutions to four test problems are investigated.     

基于Haar小波特征的恒星光谱物理参量自动估计

恒星大气物理参数的自动测量是大型巡天计划中海量光谱数据自动处理中的一个重要内容。首先使用多尺度Harr小波对恒星光谱数据进行特征分解,然后选用相应的小波系数作为光谱的特征向量,最后采用非参数回归算法对光谱的物理参数进行估计。研究表明,只需对光谱进行四层小波分解, 并选择第四层小波系数作为光谱的特征向量,即可获得重力加速度和表面有效温度的较好估计。对于化学丰度的估计,选择第一层小波系数作为光谱特征向量可取得较好效果。选用文献相关研究中常用的恒星大气模拟模型合成光谱库ELODIE中光谱数据测试了该方法的有效性。结果表明,基于Harr小波分解的光谱特征提取方法对恒星表面温度、表面重力和化学丰度等物理参数的估计具有较高的精度和鲁棒性。     

紧拓扑半群上概率测度卷积序列的极限性质

本文讨论紧拓扑半群上概率测度卷积序列的若干重要极限性质．在第１节中,我们讨论测度集的代数结构与其支撑集代数结构的关系．第２节的定理１,通过支撑集的代数结构给出组合收敛测度序列的一个极限定理．在定理２中我们讨论独立同分布时的情形,建立了一类紧半群上的Ｋａｗａｄａ－Ｉｔ型结果．这些定理推广了紧群、紧交换半群、紧Ｌ－Ｘ半群上一些相应的结论．