一种构造CDF型双正交小波的方法

利用提升格式，构造了CDF型的双正交小波，并探讨了提升算子S的选择规律，最后给出构造实例，结果表明：这种构造方法比传统的构造方法简单、易行，而且选择不同的提升算子S，可以得到不同性质的双正交小波，充分显示出这种构造方法的实用性和广泛性。     

基于STC单片机的紫外火焰探测器设计

介绍了一种基于STC单片机的紫外线火焰探测器。紫外传感器采用OSRAM公司的SFH530-R,设计了传感器信号处理电路获取火焰信号的闪烁频率及其辐射的紫外线强度,通过判断传感器输出交流量的频率及幅值来识别火焰,将直流量转换成0~5V电压信号输出指示火焰强度。     

G函数类及其应用

本文引进了抛物型 Ｇ函数类,并得到 Ｇ函数类的 Ｈǒｌｄｅｒ连续性． Ｇ函数类概念的引进,是为了证明散度型抛物型方程第一边值问题解的存在性和正则性．     

Distribution of Cardinalities of Row Spaces of Boolean Matrices of Order n

Let R(A) denote the row space of a Boolean matrix A of order n. We show that if n 7, then the cardinality |R(A)| (2^n–1 - 2^n–5, 2^n–1 - 2^n–6) U (2^n–1 - 2^n–6, 2^n–1). This result confirms a conjecture in [1].AMS Subject Classification (1991): 05B20 06E05 15A36Support partially by the Postdoctoral Science Foundation of China.Dedicated to Professor Chao Ko on the occasion of his 90th birthday     

相移阴影莫尔基于迭代LSM拟合

相移阴影莫尔技术相位高度存在着非线性关系,无法在全场获得均匀相移,因而致使经典的相移算法不能得到精确解.对此,提出了一种基于最小方差迭代的相移阴影莫尔技术,该技术通过垂直光栅面等间距移动光栅来产生相移,但光栅移动距离可不采用固定值,所以相移过程灵活|使用在高度解调过程中确定的逐点相移增量来抽取精确的测量相位,实现了相移阴影莫尔技术中固有的相位高度非线性误差补偿.结果表明,该方法可通过干涉图计算光栅的移动量,具有相移器的自标定特性.     

基于相关法的哈特曼图像网格自动划分方法

在哈特曼波前测量过程中,需要对哈特曼图像进行网格划分用于计算波前斜率。传统的网格划分方法通过观察哈特曼图像手动调整网格位置和网格间距。该方法不但需要人工干预,还给波前实时测量带来困难。为实现哈特曼图像网格划分的自动化,研究了基于相关法的哈特曼图像网格自动划分方法。该方法首先对哈特曼图像进行自相关求取网格行列数以及网格间距,然后利用该网格建立相应的模拟光斑图像,最后对模拟光斑图像和哈特曼图像进行互相关求取网格最佳位置。该方法无需人工干预,耗时短,实现了网格实时自动划分。     

拉曼光谱在血红蛋白结构及功能研究中的应用进展

血红蛋白发挥多种重要生理功能,但对其结构及功能的认识尚不能满足疾病诊治的需求。拉曼光谱在血红蛋白结构及功能研究中具有很大应用潜力,不但可以检测血红蛋白中血红素及其周围分子结构变化,还可以反映血红蛋白反应动力学具体过程。同时,血红蛋白拉曼光谱在疾病状态下异常血红蛋白检测,血氧饱和度定量测定及血液代用品的高铁血红蛋白含量检测中突显优势。本文综述了拉曼光谱在血红蛋白结构及功能领域中的研究,简述了拉曼光谱在一些病变血红蛋白诊断中的研究进展,分析了影响血红蛋白拉曼光谱检测的因素,以促进拉曼光谱技术在血红蛋白结构和功能研究中的应用。     

An Overview of Infrared Spectroscopy Based on Continuous Wavelet Transform Combined with Machine Learning Algorithms: Application to Chinese Medicines,Plant Classification,and Cancer Diagnosis

Abstract

Infrared spectroscopy has been a workhorse technique for materials analysis and can result in positively identifying many different types of material. In recent years there have been reports using wavelet analysis and machine learning algorithms to extract features of Fourier transform infrared spectrometry (FTIR). The machine learning algorithms contain back-propagation neural network (BPNN), radial basis function neural network (RBFNN), and support vector machine (SVM). This article reviews the important advances in FTIR analysis employing a continuous wavelet transform (CWT) and machine learning algorithms, especially in the applications of the method for Chinese medicine identification, plant classification, and cancer diagnosis.     

一类时变需求且存货影响销售率的EOQ模型

从实际背景出发,在R AM P型需求和存货影响销售率条件下,讨论了一类以缺货开始的变质性物品的EOQ模型.给出了模型的求解方案及单位时间内平均利润最大化的两个充分条件,并用数值算例进行了验证.     

Evolution of a stress-driven pattern in thin bilayer films: spinodal wrinkling

We report the full spectrum of the evolution of the wrinkle pattern formation in a thin bilayer film of an elastic metal on a viscoelastic polymer. Although the origin is different, the transition of an initial islandlike pattern to a labyrinthine structure without any change in the wavelength (q approximately t(0)) and the overall evolutionary process is strikingly similar to that in the spinodal system but the process is robust and takes place on a long time scale (about 10 days). The change into a mountainous topography in the late stages is accompanied by an increase in the length scale from an initial wavelength to another. This change, due to the relaxation of the confined polymer that results in a transition from elastic- to viscouslike behavior, induces wave coarsening (q approximately t(-1.04+/-0.08)) and macroscopic roughening.