33bpso_ploss

本文件包含一个word文档，详细讲解互信息的计算，以及一个txt文档，包含MI的matlab源代码。(This document contains a word document, explain in detail the calculation of mutual information, as well as a txt file, including MI, Matlab source code.)

数字图像处理和机器识别C++和matlab识别书籍第二部分，讲解详尽，适合学习(Digital image processing and machine identification C++ and matlab identification books first part, explain the detailed, suitable for learning)

MATLAB基本教程，PPT形式，共138页，板式清新，内容全面。(MATLAB basic tutorial PPT form of a total of 138 fresh, plate, and comprehensive content.)

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.

基于matlab编写了自然二进制码、折叠二进制码、反射二进制码之间的转换，并使用MatlabGUI设计了人机交互界面。(Prepared based on matlab natural binary code, binary code folding, reflecting the conversion between binary code and use interactive interface designed MatlabGUI.)

matelab关于风电最大功率跟踪控制的simulink仿真，比较了传统的控制方法和信号搜索方法。(matelab About Wind Power Maximum Power Tracking Control of simulink simulation to compare the traditional control method and signal search method. )

使用Kalman滤波实现二维图像中目标的轨迹跟踪(Two-dimensional images using Kalman Filtering Target tracking in)

clustering ---uses a kmeans method(clustering---uses a kmeans method)

说明：  混沌工具function s=shuffle(x,c)(function s=shuffle(x,c))

这是一款非常优秀的matlab开发的支持向量量机程序源码，对分类效果非常好。 可直接使用。 (This is a very good amount of support vector machine program source code of matlab development, very good classification results. Can be used directly.)