codk__list__shaking

经过一系列步骤实现结构光的中心提取，结果还不错(After a series of steps, the center of structured light is extracted, and the result is not bad.)

说明：  matching pursuit algrithmic

说明：  最小熵解卷积程序，适合对故障信号降噪处理，有良好的的降噪效果(Minimum entropy deconvolution program, suitable for noise reduction of fault signals)

说明：  中国7大地理分区shp文件，东北、华北、华东、华中、华南、西南、西北七大经济协作区(Shp files of seven geographical regions in China)

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.)

说明：  多站拼接后三维激光扫描点云的消冗处理,多站拼接后三维激光扫描点云的消冗处理(After more than three-dimensional laser scanning station splicing point cloud processing eliminate redundant, multi-dimensional laser scanning station splicing eliminate redundant processing point cloud)

e-book for DWT method for fusion image

超分辨率源代码，用它可以实现超分辨率，提高影像的分辨率，可以使一使(super-resolution source code, using it to achieve super-resolution and improve image resolution, can make a)

2019最新的神经网络隐写分析网络，对空域频域均可(The newest neural network steganographic analysis network 2019 is applicable to both spatial and frequency domain)

说明：  2019最新的神经网络隐写分析网络，对空域频域均可(The newest neural network steganographic analysis network 2019 is applicable to both spatial and frequency domain)