c-means-algorithm

在信道均衡运用中，将发送的受信道失真影响的原始信号作为自适应滤波器的输入信号，可期望信号是原始信号的时延形式，如图22（a）所示。通常情况下，输入信号的时延形式在接收端是可以得到的，采用形式是标准的训练信号。当MSE达到最小时，就表明自适应滤波器代表了信道的逆模型（均衡器）。(In the use of channel equalization, will be sent by the effects of channel distortion signal as the original adaptive filter input signal, can expect signal is the original signal delay form, Figure 22 (a) as shown. Under normal circumstances, the input signal at the receiving end delay form is accessible, using the form of training is a standard signal. When the MSE to achieve the best hours, show that the adaptive filter on the channel represents the inverse model (EQ).)

第七章 GUIDE入门 7.1 概述 7.2 图形句柄入门 7.3 GUIDE工具入门 7.4 创建图形用户界面外观 7.5 图形用户界面编程 7.6 常用的图形界面函数 7.7 本章小结 (Chapter VII GUIDE overview 7.2 Introduction 7.1 Introduction 7.3 GUIDE handle graphics tools to create entry-7.4 Appearance 7.5 graphical user interface graphical user interface programming 7.6 graphical interface function commonly used in this chapter 7.7 Summary)

Temperature control of a tank

这是一个用matlab实现遗传算法的程序，实例为深基坑桩锚支护结构的优化(THIS IS A MATLAB-BASED GA PROCEDURE.)

说明：  高等光学仿真（matlab版）-光波导、激光书中部分程序(Higher optical simulation (matlab)- waveguide, the laser part of the program in the book)

Read Matrix for SAR DATa

DWT音频水印嵌入算法，DWT音频水印嵌入算法，DWT音频水印嵌入算法(The DWT audio watermark embedding algorithm, DWT audio watermarking algorithm, DWT audio watermark embedding algorithm)

该上传为数字图像处理实验资料，包括实验原理和实验程序，有四个实验：图像的显示和视觉特性，图像的变换与量化实验，图像压缩综合实验，图像增强实验。可供朋友们学习数字图像处理方面参考。(The uploading of digital image processing experimental data, including the experimental principle and the experimental procedure, there are four experiments: an image display and visual characteristics, image transform and quantization experiments, a comprehensive experimental image compression, image enhancement experiments. For friends to learn digital image processing reference.)

无人机simulink仿真程序。用于学习无人机建模及控制。(UAV design sourcecode in simulink)

免疫粒子群算法的matlab源代码，自己设置优化函数(Immune particle swarm algorithm matlab source code, set up their own optimization function)