hebdogiciel_numero004

说明：  基于ipiq算法检测电力谐波的Simulink仿真研究(Simulink simulation research of power harmonic detection based on ipiq algorithm)

卡尔曼滤波器教程，中文详解，通俗易懂，18页(Kalman Filter Directory, Chinese Elaborates on, user-friendly, 18)

课程设计还有报告，我自己做的，关于图书馆里系统(ok)

hope it helps upload gg as

说明：  Interrupt the program, this is a problem to communicate.

The C Programming Language(The C Programming Language )

互相关模糊函数的matlab程序，很不错的，( cross_ambfn2.m- amodification of "ambfn1.m" for plotting cross ambiguity between two signals OF THE SAME LENGTH Designed to allow mismatch caused by FFT Doppler processing a pulse train. The two signals differ only in phases (if there is frequency mode it is the same in both signals. ambfn1.m- plots ambiguity function of a signal u_basic (row vector) The m-file returns a plot of quadrants 1 and 2 of the ambiguity function of a signal The ambiguity function is defined as: )

说明：  21天内快速掌握c++语言，上传过来希望对大家有所帮助(21 days grasp c language, upload up all hope of help)

说明：  基于python的模块matplotlib画各种机器学习结果的图(matplotlib for the plot of machine learning)

Python数据挖掘入门与实践 本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。(Introduction and practice of Python data mining As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)