Weighted-Average-interpolation

介绍MATLAB中，rgb转换到HSV,来解决一些问题达到目的。(Introduced in MATLAB, rgb conversion to HSV, to solve some problems achieve their goals.)

用Simulink中NCO模块产生正弦信号的程序，自己写的，采样率180MHz，正弦频率70MHz，可以直接运行。(Using Simulink module generates a sinusoidal signal of NCO program, sample rate 180MHz, sinusoidal frequency 70MHz, can be directly run.)

基于MATLAB牛顿拉夫逊潮流计算的计算机算法(A computer algorithm for power flow calculation based on MATLAB Newton Ralph Xun)

multi - objective optimisation

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.)

应用一个较为简单的算法 实现了地图匹配的功能 主要是寻找匹配的点 (Using a relatively simple algorithm, the main function, matched for matching)

对信号利用三个小波函数进行了分解。有报告和图片。(The signal using three wavelet function decomposition. Reports and pictures.)

pca、kpca.dpca的故障诊断程序，有很好的效果，对象为csth和cstr，希望对你有用(Pca, kpca. Dpca fault diagnosis procedure, have very good effect, the object for CSTH and CSTR, hope to be useful to you)

matlab写的二维天线仿真，可获得场图，功率图，包括DB和线性尺寸的。( This interactive MATLAB program is used to plot two-dimensional (2-D)polar.And The program can plot any of the following: 1. Field pattern (linear scale) 2. Power pattern (linear scale) 3. Power pattern (in dB))

polor plot with matlab