Signaux_et_Systemes

Cours et traveaux pratique en traitement de texte word

aasew jngugt khig hikh

华为C++培训资料C++语言中级教材讲授C++语言的运用技术，包括：类、对象之间的关系、对象的存储与布局、运算符重载、智能指针、仿函数、泛型编程，C++模式设计基本思想。 (C++ language intermediate materials to teach C++ language use of technology, including: classes, relationships between objects, object storage and layout, operator overloading, smart pointer, functor, generic programming, C++ mode design basic idea.)

用python爬虫抓站的实用技巧，学习python爬虫抓站的实用知识(Practical Skills of Python Crawler Grab Station)

《推荐系统实践》作者：项亮； 书籍全部章节配套源代码； 仅供学习分享，如有侵权立刻删除。(Author of Recommendation System Practice: Xiang Liang; All chapters of the book are accompanied by source code. For learning and sharing only. If there is any infringement, delete it immediately.)

说明：  介绍了一种用于心电监护的数字滤波算法，对滤波器的设计，包括滤波原理、整系数数字滤波器 的波型特征、实现方框图及10 点平均数字滤波器进行了分析，并给出心电信号的滤波效果图。实验结果表明， 该算法能有效滤除基线漂移和工频干扰，算法简单实用。(A new method for the introduction ECG digital filtering algorithm, the design of filters, including filtering principle, the whole coefficient of the wave digital filter characteristics, block diagram and realize an average 10-point digital filters are analyzed, and gives ECG filtering effect of Fig. Experimental results show that the algorithm can effectively filter out the baseline drift and power-line interference, the algorithm is simple and practical.)

信号与系统，（第二版）奥本海姆著 刘树棠译 西安交通大学出版社 2001，非常经典的教材，建议大家看一下(Signals and Systems, (Second Edition) Oppenheim Liu Shutang translation of Xi' an Jiaotong University Press, 2001, is a classic textbook, suggested we look at)

这是大牛人奥本海姆写的经典教材"数字信号处理"的书后习题答案(中文)。(This is the largest cattle Oppenheim wrote the classic textbook " Digital Signal Processing," the book exercises answers (in Chinese).)

f16的非线性模型设计，也许对你有用。MATLAB的，里面有配套说明(Nonlinear_F16_Fighter_Model)

本书首先介绍了MATLAB 语言的程序设计的基本内容，在此基础上系统介绍了各个应用数 学领域的问题求解，如基于MATLAB 的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。(The book begins with the introduction of the MATLAB programming language, the basic content, on the basis of the system introduced in all areas of applied mathematics problem solving, such as MATLAB-based calculus problems, linear algebra to solve computer problems, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problems, data interpolation and function approximation problem, Probability Theory and Mathematical Statistics Analytical Solution and Numerical Solution of such. Also introduce a relatively new non-traditional methods such as fuzzy logic and fuzzy reasoning, neural networks, genetic algorithms, wavelet analysis, rough sets and fractional calculus and other fields.)