PythonWebProject

新林基于VB开发的雪儿Win32API(模仿版)，类似于VB自带的API Viewer，但功能更多些，有些API函数还带有实例，有些函数还带有中文说明。 　　以前学VB时，也没少用这个东西，那时没得上网，就买光盘罗，在一张叫VB编程资源大全的光盘看到这个程序，用起来还可以。

一些你不懂得的元器件英文名称这里都可以找到，(Some of the components you do not know the name in English can be found here,)

（本文是在论坛已有一篇文章《SIRP法相干相关K分布雷达杂波的建模与仿真》的基础上修改而来，在此首先感谢这篇文章的作者给予我的帮助。之所以完成这篇文章，有三个方面的原因：一是对原文章和仿真程序代码明显存在一些不一致的地方，因此，我这里对每个公式进行检验（后来证明文章的公式正确无误，但所给的仿真代码存在问题），二是对自己近4天工作的一个总结，以便以后学习可以参考；三是可以放在网上给初学者一些参考，以便后来者不再走自己曾经走过的弯路。文章的一些文字是在匆忙间完成，只求能表达所述意思，没有详细斟酌，海涵：））((This article is an article in the forum have been "SIRP law related coherent K distributed clutter radar modeling and simulation" on modified from the foundation, in this first of all thank the authors of this article has given me help. The reason why the completion of this articles, there are three reasons: First, the original article and simulation program code, there are some obvious inconsistencies, so I here the formula for each test (later proven formula article is correct, but give the simulation code problem exist), near two of their four days of a summary of the job in order to study the future reference three on-line can give some reference for beginners in order to go was no longer the tortuous path they have traversed. article of some language is in a rush to complete, only to express the meaning as described, did not elaborate, as appropriate, Haihan:)))

说明：  利用 Ｑｕａｒｔｕｓ　ＩＩ和 ＭｏｄｅｌＳｉｍ 软件，基于 ＥＰ２Ｃ３５芯片 ＦＰＧＡ 开发平台，通过 Ｖｅｒｉｌｏｇ－ＨＤＬ语言，完成了 Ｏ－ＱＰＳＫ 调 制解调器的设计。该设计具有结构简单占用芯片面积少便于生成ＩＰ核等优点。 电路与系统的仿真结果表明，所预期的功能均已实现，该方法适合在无线传感器 网络及低功耗通信集成电路设计中应用。(Using QuartusII and Modelsim software, based on ep2c35 chip FPGA development platform, the O-QPSK modem is designed by Verilog-HDL language. The design has the advantages of simple structure, less chip area and easy to generate IP core. The simulation results of the circuit and the system show that the expected functions have been realized, and the method is suitable for the design of wireless sensor networks and low-power communication integrated circuits.)

说明：  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.)

斑马打印机协助图片处理工具 将图片转换成对应的zpl代码 实现打印功能(Zebra printer assistance for image processing tools Convert the picture to the corresponding ZPL code Print function)

构造一组输入为白噪声加三个频率非常接近的正弦波，其信噪比为10dB，观测长度为256。试分别用普通AR谱估计和采用功率噪声抵消算法的AR谱估计估计这组信号的频率，并比较结果。-constructed a group of white noise input plus three very close to the frequency sine wave, the signal-to-noise ratio of 10dB. Observing length of 256. Were used to test the general AR spectral estimation using power and noise canceling algorithm for the estimation of AR spectrum estimation of this group of signal frequency, and the results of the comparison.

含分布源传输线的电压电流仿真计算，可以讨论传输线电磁干扰问题(Simulation calculation of voltage and current of transmission line with distribution source)

说明：  这是一个基于pocketsphinx的例子程序，已经在andtoid studio编译成功，并能识别简单的词汇。这是第8部分(This is an example program based on pocketsphinx, which has been successfully compiled in andtoid studio and can recognize simple words. This is the 8th part.)

实现三相12/8开关磁阻电机的控制，其中有些功能还不是很完善，希望与各位朋友一起讨论(Realization of three-phase 12/8 switched reluctance motor control)