Using matlab to do a PhD thesis on, which include the algorithm it is also usefu...

用于图像的纹理分割，适合用于图像的纹理分割和图像特征分类，并且是基于MATLAB实现的纹理特征分割。(For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation.)

基于matlab平台实现点云数据边界提取以及拟合功能的小程序(Point cloud data boundary extraction fitting function procedure based on matlab platform)

光流法检测运动物体，速度很快，matlab 实现(motion detection by optical flow, implemented in Matlab, run very fast)

用傅立叶变换的方法在频率域实现图像处理，并比较从幅度和相位恢复图像的区别，已经通过调试(Fourier transform method used in the frequency domain realization of image processing, and compare the amplitude and phase from the difference between the restoration of images, has passed debugging)

power_regulzero,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_regulzero,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

基于多相结构的信道化接收机，真的是一个好程序，有CDF三角函数曲线/三维曲线图，是学习PCA特征提取的很好的学习资料，大学数值分析算法，实现了对10个数字音的识别程。

ct图像中由于机械震动引起的条状伪影的计算机仿真与重建(ct images due to vibrations caused by mechanical artifacts strip computer simulation and reconstruction)

通过对集成误差公式的理论分析，提出了一种能主动引导个体网络进行差异性学习的集成网络学习算法。该方法通过对集成误差的分解，使个体网络的训练准则函数中包含个体网络误差相关度的因素，并通过协同训练，引导个体网络进行差异性学习。该方法在基于油气分析的变压器故障诊断的实验结果表明，该方法的故障诊断准确率优于传统的三比值法与BP神经网络，其性能也比经典的集成方法Bagging和Boosting方法更稳定可靠。(A learning algorithm is proposed in this paper by analyzing the error function of neural network ensembles, in which individual neural networks are actively guided to learn diversity. By decomposing the ensemble error function, error correlation terms are included in the learning criterion function of individual networks. And all the individual networks in the ensemble are leaded to learn diversity through cooperative training. The method is applied in fault diagnosis of power transformer based on Dissolved Gas Analysis. Experiment results show that, the algorithm has higher accuracy than IEC method and BP network. And the performance is more stable than conventional ensemble method, i.e., Bagging and Boosting. )

Recursive weighted partial least squares (rPLS): an ef fi cient variable selection method using PLS

使用深度神经网络解决无线网络中资源分配问题(Using deep neural networks to solve the problem of resource allocation in wireless networks)