differentattractors

matlab mex程序 可以直接运行c程序 图像去噪声(matlab nex)

图像拼接，利用简易算法完成拼接过程，可实现不同数量的图像以为拼接。所采用图例为最新一届全国数学竞赛图片。绝对原创(Image mosaic, complete the splicing process using simple algorithm, which can realize image splicing different number of thought. The legend for the new session of the national mathematics contest. )

通信原理配套的matlab程序，对初学通信原理matlab编程有用(Supporting communication theory matlab procedures, communication theory matlab programming useful for beginners)

跳频通信的仿真 用Matlab实现 跳频的图案(Simulation of frequency hopping communication to achieve frequency hopping pattern with Matlab)

PCM/FM信号生成函数，包含基于FM调制以及CPM调制方式，前者是利用matlab中的fm模拟频率调制方式，是对PCM/FM信号比较直观的生成方法，后者是利用CPM信号的生成方法，从相位调制的角度生成。(Here is PCM/FM signal generating function, including on CPM modulation and FM modulation, the former is the use matlab simulation frequency fm modulation method is PCM/FM signal generation method more intuitive, which is generated using the method of CPM signals, generated from the phase angle modulation.)

用来绘制地震波形曲线，在石油地震勘探以及其他地震研究领域都很实用。(Plot seismic data using wiggles in seismic exploration researchment.)

This code performs wide band Cooperative Spectrum Sensing under various noise levels. A large number of primary users as well as secondary users are considered.The detection is power spectral density based . This project gives the lower bound for the power level of the PU signa...This code performs wide band Cooperative Spectrum Sensing under various noise levels. A large number of primary users as well as secondary users are considered.The detection is power spectral density based . This project gives the lower bound for the power level of the PU signa...

自动控制中的频域分析，可以看到系统的bode图、幅相特性(Frequency domain analysis of the automatic control system, can see the figure, Bode amplitude and phase characteristics)

完整的Matlab下人脸检测及识别系统源代码 Face Recognitio完整的Matlab下人脸检测及识别系统源代码(face recognition)

主要叙述在matlab环境下熟悉对svm的操作以及svm的主要特性包括分类和回归(The main narrative in the matlab environment familiar with the operation of the SVM and the main features include SVM classification and regression)