main-program

一种极值搜索控制算法的matlab仿真程序，以一个非线性系统为控制对象，能够实现系统输出的极值控制(a extremum control algorithm matlab simulation program, in which a nonlinear system is controlled with its extreme output)

基于雅克比迭代法的matlab方腔流动程序，其中包括流函数和涡函数子程序(The MATLAB cavity flow program based on Jacobian iteration method, including the stream function and the vortex function subroutine.)

两个正弦信号叠加白噪声 用fft进行频谱分析(failed to translate)

this is all about ici method and ofdm system using main algo.....................

完成对于图像的DCT变换反变换，FFT变换反变换，动态模糊，加噪声去噪声等等，配有图形界面，功能强大(For complete image DCT transform inverse transform, FFT transform inverse transform, as well as some dynamic blurring function, and with a graphical interface)

设计一个阻带下限0.45*pi 阻带上限0.8*pi 通带下限0.55*pi 阻带上限0.7*pi 通带衰减0.15dB，阻带衰减40dB，分别用汉宁窗汉明窗凯瑟窗布莱克曼窗设计滤波器，对比分析各方法优劣(Design a stop-band limit 0.45* pi stopband limit 0.8* pi Passband lower limit 0.55* pi stopband limit 0.7* pi Passband attenuation 0.15dB, stop-band attenuation of 40dB, respectively Hanning Hamming window Kaiser window Blackman window filter design, comparative analysis of the pros and cons of each method)

多无人机协同决策与控制仿真平台（含论文教程和matlab代码），美国空军研究院开发，可用于学习无人机群体协同决策，以及算法验证，具有极高的价值(Collaborative decision-making and control of multiple UAVs simulation platform (including tutorials and papers matlab code), the U.S. Air Force Academy developed UAVs can be used to study collaborative decision-making groups, as well as algorithm verification, with a high value)

压缩感知：3维压缩感知重构算法，采用最速下降法和梯度投影原理,逐步逼近最优解。是本人精心编写调试好的，请放心使用。(cs:3 dimensional compressive sensing reconstruction algorithm, using the steepest descent method and the gradient projection principle, and gradually approaching the optimal solution. )

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

说明：  该资源是MATLAB程序设计，对MATLAB初学者入门MATLAB程序设计有很大的帮助，通过该课件能够基本使用MATLAB进行简单的编程(The resources are the MATLAB programming, Introduction to MATLAB on the MATLAB programming beginners have a lot of help, through the basic use of MATLAB software can be a simple programming)