MAT_HFSS

用MATLAB仿真瑞利信道下的BPSK系统的误码率 和信噪比的关系曲线。(Using MATLAB simulation under Rayleigh channel BER BPSK system and the relationship between the curves of signal to noise ratio.)

软起动模块simulink 是软起动的simpower system的模块，希望对大家有帮助(softstart simulink program)

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.)

应用matlab开发的ofdm源代码，其中和QAM调制方式做了比较，内含部分说明文档(Application development of OFDM matlab source code and QAM modulation which has done a comparison, contains some documentation)

说明：  通信中QAM MATLAB代码，希望对大家有帮助！(Communication QAM MATLAB code, we want to help!)

PSO工具箱可以优化更多的内容和方法，帮助你更好地解决问题(PSO toolbox can be optimized more content and methods to help you better solve the problem)

说明：  romberg求积分，用C++编程实现的 非常好用 谢谢下载(romberg I)

说明：  神经网络设计书籍配套源码，Matlab的只有源码，没有配套教材哦(neural network design books matching source, the only source of Matlab, oh no supplementary materials)

matlab图像处理实例详解chap15——图像处理的MATLAB实例(matlab image processing examples explain chap15- MATLAB image processing examples)

hopfield神经网络的基本程序，给出了网络连接以及输入输出之间关系的基本网络(The basic program hopfield neural networks, giving the network connection and the basic network between the input and output)