"introduction to the finite element method in electromagnetics" 配套源码。 内容包括了...

主要应用于两幅图片比对时，对两幅图片进行校准(Mainly used in the two pictures, two pictures calibration)

With PRP conjugate gradient method for solving unconstrained problem

用总体最小二乘法+AR的现代谱估计方法对信号的功率谱进行估计。(By total least squares method AR+ modern spectral estimation method for estimating the power spectrum of the signal.)

power system stability equal area matlab code

利用Matlab的模糊逻辑工具箱实现模糊控制系统仿真(Using Matlab' s fuzzy logic toolbox of Fuzzy Control System)

对多功能动态试验装置的污垢厚度的检测，可以得到污垢形成的规律，从而有效地抑制污垢的形成。换热设备作为火电厂的重要设备之一，污垢的存在使传热能力下降，造成不必要的经济损失，通过对污垢的检测，掌握了热学法检测污垢的方法，提高换热设备的传热能力。(Dynamic tests on the multi-function devices detect the thickness of the dirt, the dirt can be formed by law, to effectively inhibit the formation of dirt. Heat exchanger equipment as one of the important thermal power plant, the presence of dirt reduced capacity to heat, causing unnecessary economic losses, through the dirt of detection, control the fouling thermal detection methods to improve heat transfer equipment heat capacity.)

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.)

Moment Invariant source code in matlab

这是关于模型预测控制的动态矩阵算法的一个程序(This is a program about the dynamic matrix model predictive control algorithm)

利用matlab编写kalman的算法，非常值得学习一下(Kalman algorithms using matlab)