bp-neural

Matlab code for OFDM with multipaths

说明：  通信原理中的数字调制方式与解调，包括了最常用的ask,psk,fsk的调制以及多种解调方式(the modulation and demodulation demo of ask, fsk ,dpsk and psk)

说明：  由simulink搭建的串级控制系统，希望有所启发(Simulink erected by the cascade control system, hoping to inspire)

matlab程序设计英文书籍（for Engineers）(MATLAB Programming for Engineers)

图像配准常常是作为其他图像处理应用的前处理步骤使用的，往往用于图像的对准、目标识别与定位。介 绍了在MATLAB系统中，如何应用MATLAB的IPT函数对图像进行配准的方法：首先用人机交互的方法在待配 准图像与基准图像之间进行图像配准所必需的匹配控制点的选取，然后用这些匹配控制点来计算两图像的某种空 间几何变换关系，最后利用这个空间几何变换关系对待配准图像进行几何变换，获得配准结果。实验表明，该方 法实现容易，且非常有效。 (Image registration is often as other image processing applications, the use of pre-treatment steps are often used for image alignment, target identification and location. Introduced the system in MATLAB, how to use MATLAB function of the IPT image registration method: First of all, employing the method of cross-machine in question and the baseline image registration between image image registration by matching control points necessary for the selection, and then use these control points to match the two images to calculate the geometric transform the relationship between a certain space, and finally make use of the space relationship between the treatment of geometric transformations with quasi-geometric image transformation, the results obtained registration. Experiments show that the method easy and very effective.)

MATALB蚁群算法:以MATALB为编程环境详细介绍了一个控制系统的蚁群算法实例仿真！(enriching Ant Algorithm : to enriching programming environment for a detailed account of a control system of ant algorithm simulation!)

我编写bposs的神经网络应用程序，第一次上传(of neural network applications, the first upload)

一种模糊PID的SIMULINK实现，内涵模糊规则(The SIMULINK implementation of a Fuzzy PID, fuzzy rules, meaning)

The method works as follows. 1. For a data set with dimensionality, d, compute the variance of data in each dimension (column). 2. Find the column with maximum variance call it cvmax and sort it in any order. 3. Divide the data points of cvmax into K subsets, where K is the desired number of clusters. 4. Find the median of each subset. 5. Use the corresponding data points (vectors) for each median to initialize the cluster centers.

implementation of ideal lowpass filter