Python灰帽子中文

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.)

一些关于5G非正交多址的一些资料 很有用 参考价值很大(Some information on the number of non-orthogonal multiple access 5G useful reference of great value)

dSPACE培训教程入门，控制系统半实物仿真的最好工具学习资料(dSPACE training module entry, the control system of the best semi-physical simulation tool for learning materials)

赛门铁客 赛门铁客 赛门铁客 赛门铁客(Symantec Symantec Symantec Symantec)

说明：  用于进行色彩空间转换的外文资料，有做相关方面的可以看看(Used for color space conversion of foreign materials, there can look at relevant aspects of doing)

Lua编程入门书籍，Lua程序设计第二版（中文版）(Lua Programming Introduction Book, Lua Programming (Chinese Edition))

Scheduling_parallel_machine_problem_unde

Department of Electrical and Computer Engineering, American University of Beirut, Beirut 1107 2020, Lebanon Corresponding author: M. Baydoun (mhb13@aub.edu.lb)

本书不仅回顾了通信信号处理的经典研究领域，如自适应均衡、信道建模和识别、多用户检测和阵列处理，而且分析研究了一些新领域，如自适应编码调制、多输入多输出（MIMO）系统、分集合并和时频分析。此外，本书还探讨了神经网络、蒙特卡洛马尔可夫链和混沌等新兴技术，并对未来移动通信具有发展前途的方法进行了很好的概括性阐述。(The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks.)

基于FPGA的出租车计价器，欢迎大死同学多多交流(FPGA-based Taximeter, welcomes the dead students more exchanges)