pam

matlab coding for developing image fusion toolkit

This paper focuses on the analysis of Electromagnetic Interference Problem associated with the resonant converters because it affects their Electro Magnetic Compatibility (EMC). The principle of Electromagnetic Compatibility (EMC) is to allow a correct and optimum functioning of any electrical or electronic devices in the presence of each other. In other words, it is the right of electrical/electronic equipment to co-exist in an electromagnetic environment without disturbing each other.

希尔伯特变换实现了SSB调试，画出信号的时域和频域的图象只管观察(Hilbert transform SSB debugging, draw the signals in time domain and frequency domain image just observed)

说明：  主动声呐匹配场计算程序matlab程序包(Calculation program of active sonar matching field)

very important for student in biomedical Engineering and sience

kernel kmeans is a fast and efficeient kmeans algorithm implementation

这是用于工程测量进行大坝变形分析的软件，比较有价值，欢迎试用。(This is for engineering measurements dam deformation analysis software, valuable, welcomed the trial.)

有约束2a+b^2+tan(c)=15 目标函数a*exp(b/x)+c=y 的最小二乘解(Binding 2a+ B ^ 2+ Tan (c) = 15 the objective function a* exp (b/x)+ C = y the least squares solution)

Implemented with SDRAM run nios, while saving camera data SRAM, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Target can be extracted in a picture you want.

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)