8psk

说明：  极化编码的信道挑选算法，高斯近似算法，matlab(Polar code channel selection algorithm, Gauss approximation algorithm, matlab)

unpack and pack unpack SquashFS on windows

STM32入门资料PDF格式，详细讲解STM32的入门到精通，分初中高三个步骤。(STM32 introductory information PDF format, a detailed introduction of STM32 to proficiency, divided into three steps of junior high school and senior high school.)

说明：  3DExperience Enovia project planner

matlab画出vonoroi图，利用PS、Hypemesh导入Abaqus生成Vonoroi模型(Matlab draws a vonoroi diagram, use PS, Hypemesh to generate Vonoroi model in Abaqus)

a valuing note for c/c++

将float数据转化为IEEE754格式(Will float data into IEEE754 format)

CN对图像进行像素级的分类，从而解决了语义级别的图像分割（semantic segmentation）问题。与经典的CNN在卷积层之后使用全连接层得到固定长度的特征向量进行分类（全联接层＋softmax输出）不同，FCN可以接受任意尺寸的输入图像，采用反卷积层对最后一个卷积层的feature map进行上采样, 使它恢复到输入图像相同的尺寸，从而可以对每个像素都产生了一个预测, 同时保留了原始输入图像中的空间信息, 最后在上采样的特征图上进行逐像素分类。(CN classifies images at the pixel level, thus resolving the problem of semantic segmentation at the semantic level. Unlike classical CNN, which uses full-connection layer to get fixed-length feature vectors after convolution layer for classification (full-connection layer + soft Max output), FCN can accept any size of input image, and uses deconvolution layer to sample feature map of the last convolution layer to restore it to the same size of input image, so that each pixel can be generated. At the same time, the spatial information of the original input image is retained. Finally, the pixel-by-pixel classification is carried out on the feature map sampled above.)

对原始数据进行去噪处理，是一种比较新颖的模态分解方法。VMD方法将信号分解转化为约束变分问题,自适应地将信号分解为若干个IMF分量之和。(De-noising for raw data is a relatively novel modal decomposition method. The VMD method transforms the signal decomposition into a constrained variational problem and adaptively decomposes the signal into the sum of several IMF components.)

说明：  lppl模型 股市崩盘点预测 使用python语言(log-periodic power law)