"introduction to the finite element method in electromagnetics"是一本特别好的FEM的入门书籍，源...

应用MATLAB语言处理数字信号与数字图像，适合初学者学习(Application of MATLAB language processing digital signals and digital images, suitable for beginners to learn)

A program to find the centre of each ellips

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)

外国的一个大牛写的ply格式模型的读写程序，注释很详细，和适合学习(A large foreign cattle write ply format model reading and writing program notes in great detail, and suitable for learning)

瑞利信道的仿真。结果为信号时域的图。仿真衰落的过程。(Rayleigh channel simulation. The results of time-domain signal of Fig. Simulation of the process of decline.)

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

说明：  bayer格式转化为RGB格式 matlab程序(bayer pattern to rgb)

高斯白噪声下的LMS算法，归一化LMS算法。附仿真结果报告、源代码、截图，内容详尽，希望对您有所帮助(Gaussian white noise of the LMS algorithm, the normalized LMS algorithm. With the simulation results are reported, the source code, screenshots, and detailed, I hope for your help)

Matlab频率域滤波，包括理想滤波器和高斯滤波器的实现代码及原始图片(freq filters)

有认知无线电CR的论文和Matlab代码，进行传统频谱感知算法的能量检测实现与SVM分类算法实现，两个进行对比检测概率性能，还有生成SVM三种核函数的分类检测图与统计三个错误率，得出SVM算法优于能量检测算法(Cognitive radio CR papers and Matlab code, perform traditional spectrum sensing algorithms to achieve energy detection and SVM classification algorithm, two compare the probability of detection performance, as well as generate three types of cores SVM classification detection function diagram with three statistics error rate, obtained SVM algorithm is better than energy detection algorithm)