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盲信号分离的fastICA算法，读取具有混合干扰的4幅图像，处理后显示分离后图像(Blind Source Separation Algorithm fastICA, read with mixed disturbance of four images, processed images show that after the separation)

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

说明：  处理在圆极化入射下的聚焦电场和相位。通过去除掉入射电场，把x,y,z分量的电场合成交叉极化的圆偏振电场，看到更好的聚焦效果(It deals with the focusing electric field and phase under circularly polarized incidence. By removing the incident electric field and synthesizing the X, y, z component electric field into the cross polarized circular polarized electric field, we can see the better focusing effect)

说明：  使用matlab对人体运动进行的简单的目标跟踪，使用卡尔曼滤波(Using matlab to human movement of the simple target tracking, the use of Kalman filter)

副高五个指数的计算，可根据需要修改，数据需要提取，注意修改区域(the index of subtropical high)

内容认证半脆弱水印算法的研究与实现,本程序实现图像的半脆弱水印，是基于DCT的算法，特别适合研究半脆弱水印的同志(Content authentication semi-fragile watermarking algorithm for Research and Implementation of, the procedures for the realization of the semi-fragile watermarking images is based on the DCT algorithm, especially appropriate to study the semi-fragile watermarking comrades)

能量检测法是一种比较简单的信号检测方法[1]， 属于信号的非相干的检测， 直接对时域信号采样值求模，然后平方即可得到；或利用FFT转换到频域，然后对频域信号求模平方也可得到。它无需知道检测信号的任何先验知识，对信号类型也不作限制。 实际上，能量检测是在一定频带范围内作能量积累，如果积累的能量高于一 定的门限，则说明信号的存在；如果低于一定的门限，则说明仅有噪声。能量检 测的出发点是信号加噪声的能量大于噪声的能量。能量检测方法对信号没有作任何假设，是一种盲检算法。 此代码“利用FFT转换到频域，然后对频域信号求模平方”方法来实现对用户的检测。(In fact, energy detection is used for energy accumulation in a certain frequency range. If the accumulated energy is higher than a certain threshold, the existence of the signal is indicated. If the threshold is lower than the threshold, then only noise is indicated. The starting point of energy detection is that the energy of signal plus noise is greater than that of noise. The energy detection method does not make any assumptions about the signal, and it is a blind detection algorithm. This code "converts the frequency domain into the frequency domain by FFT, then calculates the square of the square of the frequency domain signal" to realize the detection of the user.)

icp算法C++实例，用于点集的配准，实现两片点云数据的拼接(icp algorithm C++ instance, used for the registration point set to achieve splice two pieces of point cloud data)

主要适用于图像增强的客观质量评价，效果比较好；其实熵值就是求图像的相似度(Mainly applied to the objective of image quality evaluation, the effect is better; In fact, the entropy is to find the image similarity)

AForgeNet 是基于.net框架使用C#高级面向对象语言设计开发的专门为开发者和研究者学习和使用的开源图像处理类库，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习(AForgeNet is an open source image processing class library designed and developed for developers and researchers based on. net framework using C # advanced object-oriented language. It includes computer vision and artificial intelligence, image processing, neural network, genetic algorithm and machine learning.)