pca降维算法

GPSR_6.0 工具器，梯度投影法CS恢复，很有用的(GPSR_6.0)

说明：  用于二值图像的细化处理，开发环境为matlab，对图像处理便捷有效(For the refined binary image processing, development environment for matlab, convenient and effective for image processing)

本源代码是MATLAB语言下的粒子群算法的实例，有需要的朋友可以参考(pso source code )

匹配滤波器，信号检测，研究生课程作业，欢迎大家下载查阅！(pi pei)

高斯回归建模 用与建立代理模型 利于对映射关系进一步研究

对于matlab中M文件的知识 针对怎样调用M文件以及一些使用方法的介绍 适合初学者当中对于M文件的使用有问题的读者(M file for matlab in the knowledge of how to call for the M file, and some introduction for beginners to use these files for M readers question the use of)

说明：  倒立摆，Inverted Pendulum ，是典型的多变量、高阶次 ，非线性、强耦合、自然不稳定系统。倒立摆系统的稳定控制是控制理论中的典型问题 ，在倒立摆的控制过程中能有效反映控制理论中的许多关键问题 ，如非线性问题、鲁棒性问题、随动问题、镇定、跟踪问题等。因此倒立摆系统作为控制理论教学与科研中典型的物理模型 ，常被用来检验新的控制理论和算法的正确性及其在实际应用中的有效性。从 20 世纪 60 年代开始 ，各国的专家学者对倒立摆系统进行了不懈的研究和探索。(Inverted pendulum is a typical multivariable, high order, nonlinear, strongly coupled and naturally unstable system. The stability control of inverted pendulum system is a typical problem in control theory. Many key problems in control theory can be effectively reflected in the control process of inverted pendulum, such as nonlinear problem, robustness problem, servo problem, stabilization, tracking problem, etc. As a typical physical model in the teaching and research of control theory, inverted pendulum system is often used to test the correctness of new control theory and algorithm and its effectiveness in practical application. Since the 1960s, experts and scholars from all over the world have made unremitting research and Exploration on the inverted pendulum system.)

在matlab的开发环境中，对图像进行RGB到RLab的转换(The development environment in matlab for image conversion of RGB to RLab)

这是一个关于matlab里主要函数和主要命令的文档，里面介绍的比较详尽～希望对大家有用(It is a major function in matlab and major command document, which described in detail to all of us ~ I hope useful)

采用仿真实验的方法，分析和评价FCFS、SJF、RR和MLFS算法的优劣，用c++实现四种调度算法，源代码如下，思路程序内有注解(Method using simulation, analysis and evaluation of FCFS, SJF, RR, and MLFS merits of the algorithm, using c++ to achieve the four scheduling algorithms, source code is as follows, ideas, comments within the program)