975430EZW

DTW算法，比较简单。在matlab下实现的，在matlab6。5下编译通过(DTW, relatively simple. Under the Matlab, in matlab6. Compiling under through five)

自己写的PN码相关Matlab仿真，希望对大家有帮助。(PN code-related)

包络分析大多在原始振动加速度信号基础上进行， 受噪声干扰等因素的影响较大 通过对原始振动信号自相关函数作包络分析， 可以有效地抑制噪声， 突出反映故障调制特征(s． Most of the envelope analyses are based on original vibration accelera- tion signal，which is seriously influenced by noise interference． The noise is effectively suppressed by envelop analysis of auto correlation function of original vibration signal，and the modulation characteristics of fault are highlighted．)

复变函数与积分变换的学习辅导和课后习题全解(Complex Variables and Integral Transform counseling and after-school learning all solutions of Problem)

加性高斯白噪声衰减信道的QAM调制源代码，包含误码率仿真(Additive white Gaussian noise attenuation channel QAM modulation source code, including bit error rate simulation)

applying cropping, median filter, contrast stretching and laplacian filter

现代数值计算方法所附光盘源码第二部分（福建师范大学）马昌凤, 林伟川编著 科学出版社(Modern numerical methods accompanying CD-ROM source the second part (Fujian Normal University) MA Chang-Feng, LIN Wei-chuan edited by Science Press)

说明：  初始对准，matlab程序，希望有用，对初学者有用，静基座对准(Initial alignment, matlab program, I hope useful, useful for beginners, static Alignment)

说明：  一个简单的卡尔曼滤波代码，matlab编写，供初学者借鉴(A simple Kalman filter code, matlab prepared for beginners learn)

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.)