FUZZY

arious linear time-invariant electromagnetic systems are most conveniently analyzed in the frequency domain because there exist mature computational techniques (e.g., [1]) and related software (e.g., [2, 3]). Most measurements of antennas and microwave systems are also performed in the frequency domain (using vector network analyzers), yielding a discrete set of frequency-domain data. In order to obtain the time-domain response of such systems

求解线性不定方程组的一个基解（未知数个数大于方程个数），代码简单有效，可以利用该代码求出所有基解，从而得到不定方程组解得一般形式(A radical solution for solving linear equations uncertain (unknown number greater than the number of equations), the code is simple and effective, you can use the code to all base solution obtained, resulting in variable equations have the general form of the solution)

atrous小波遥感图像融合,适合64位MATLAB运行，实验结果良好。(Atrous wavelet remote sensing image fusion, suitable for 64 bit MATLAB run, the experimental results are good. )

matlab计算涡旋光束干涉产生的条纹，简单实用，包括文献(Calculation of fringe generated by vortex beam interference by MATLAB)

卷积码的编码以及软硬译码，信道为awgn，调制方式为bpsk(Convolutional encoding and decoding software and hardware, channel for the awgn, modulation is bpsk)

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.)

《脑电信号分析方法及其应用》书中示例程序，书的附录中有该程序列表(EEG analysis method and its application（the book program）)

solar panel model with graph V-I for the study of the beaviour of a solar panel

matlab based model for photovoltic cell

Tsai和zhang的图像标定方法的matlab实现(Tsai and zhang image calibration method to achieve the matlab)