core

Scratch2StarterProjects,Scratch 是由美国MIT（麻省理工学院）设计开发的一款适合儿童的图形化编程工具。针对 8 岁以上孩子们的认知水平，以及对于界面的喜好，MIT 做了相当深入研究和颇具针对性的设计开发。 包含基本入门教程等套件 这是把Scratch转化为可执行程序的一个工具。(Scratch, a simple programming tool for teenagers designed and developed by MIT)

说明：  EXAMPLE OF PSSE simulations and python scripting (solar PV)

使用C++实现的小程序。计时器单位转换。输入为整型数单位为秒，输出格式为DDD：HH：MM：SS的时间。华为机试。(Use C++ achieve applet. Timer unit conversion. Enter an integer number of seconds, the output format is DDD: HH: MM: SS time. Huawei machine again.)

A very concise CSS3 multi-color vertical stretch drop-down menu effect, each sub-menu item can define different colors

EAN条码字体的解码算法 经常发现用PB的开发人员在问为什么用EAN的字体打出来的条码扫描枪无法扫描 其实受EAN的编码规格的限制，EAN的字体是不能直接使用的，EAN13的编码规格就不 多说了，下面给出两个函数可把条码转换为EAN字体可识别的字符串(分别对应EAN13和EAN8两种编码)-EAN barcode font decoding algorithms are often found with the development of PB in the question why the fonts EAN bar code scanning to fight out of the gun can not scan a matter of fact by the EAN coding specification limit, EAN fonts can not be directly used, EAN13 of coding specifications do not say, and given the following two functions can be converted to EAN barcode fonts can be identified by the string (corresponding to two coding EAN13 and EAN8)

基于差分相关的GPS信号检测算法，该算法和传统的相关累加进行了比较分析。(Based on Differential GPS-related signal detection algorithm and the traditional a comparative analysis of the relevant additive.)

自己编的虚拟示波器和虚拟信号发生器的labvieW程序，希望供大家参考(Own series of virtual oscilloscope and a virtual signal generator labvieW program, I hope for your reference)

说明：  本书将向您介绍各种有监督和无监督的深度学习算法，例如多层感知器，线性回归和其他更高级的深度卷积和递归神经网络。您还将了解图像处理，手写识别，对象识别等更多信息。(This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition and much more. Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio. The book will definitely be your best companion on this great deep learning journey with Keras introducing you to the basics you need to know in order to take next steps and learn more advanced deep neural networks.)

state of the art 图像降噪算法(state of the art image denoising)