jpegImageCompression

本程序能够计算两个信号的频域相干函数和两个信号的互功率谱。(This procedure is able to calculate the two signals in the frequency domain coherence function and the two signals cross-power spectrum.)

k均值聚类算法源码 聚类算法学习的实例功能(k-means cluster algorithm)

將蒙地卡羅模擬法應用於Copula模型。(Applied Monte Carlo Simulation to Copula Model.)

仿真SMI（DMI）算法性能，观察采样快拍数对波束图的影响、接收信号中不包含、包含信号功率逐渐加大对波束图的影响(Simulation SMI (DMI) algorithm performance, the number of snapshots observed sampling effects on the beam diagram, the received signal does not contain, include the gradual increase of the signal power of the beam map)

说明：  This file introduces a simple procedure to design and test DFIG Wind turbine generation system

调频连续波雷达仿真程序。使用matlab实现，效果很好。匹配滤波器的设计可作为参考(FM continuous wave radar simulation program. Using matlab, the effect is very good.Matched filter design can serve as reference)

导航电文的数据收集及仿真，可读取导航文件并处理相关数据。(Navigation message data collection And simulation. Can read documents and data processing navigation.)

基于MATLAB的锅炉液位控制系统，采用模糊控制(MATLAB-based boiler level control system using fuzzy control)

发送单极性码元，经过升余弦滚降，画出功率谱和眼图。(this code, or after Cosine paint power spectrum and eye diagram.)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!