Making Games with Python & Pygame

华为OJ训练平台的基础篇的所有题目答案，已总结为各种类型，写成子函数，可以直接调用(Huawei OJ Basics training platform for all the questions answers are summarized for all types, written subroutines can be called directly)

STATCOM UPFC POWER QUALITY DISTURBANCESSS

用python实现了一个从云平台下载资源的程序(it can run in the python2.6.6)

本文针对并行干扰抵消检测器的不足之处，提出了改进的并行干扰抵消检测算法——基于多项式展开的并行干扰抵消多用户检测算法。该算法将多项式展开检测器作为并行干扰抵消检测器第一级的数据估计值，以提高检测可靠性。通过仿真实验，首先验证了多项式展开检测器的性能。然后比较改进算法与传统检测器的性能，验证改进算法的系统性能得到明显改善；并与并行干扰抵消检测器、解相关检测器和MMSE检测器相比较，验 证得到该改进算法的性能也有不同程度的改善。 (this paper discusses the principle and performance of the conventional detector and the parallel interference cancellation(PIC)detector separately.Since the conventional detector take MAI only as the background noise without considering the existence of the other users,the existence of MAI has a significant impact on the performance of CDMA systems.Each stage of PIC detector utilizes the data estimates of the initial or previous stage,produces a new set of MAI estimates,and then subtracts out all of the MAI for each user in parallel.Through Monte Carlo simulation in different scenarios,the results illustrate the influence of MAI in conventional CDMA ystems.Theexperimental results show PIC detector can effectively eliminate MAI andimprove the system BER. )

说明：  Over 80 object-oriented recipes to help you create mindblowing GUIs in Python

pld的实践教程，完整详细的讲解适用于初学者以及研究开发人员(pld hands-on tutorials, full and detailed explanation for beginners as well as research and development staff)

计算机网络第五版： 计算机网络在信息时代中的作用， 因特网概述，网络的网络(Computer network Fifth Edition: the role of computer networks in the information age, Internet overview, network network)

求解NS方程的各种rans方法及直接数值模拟方法介绍 很好的PPT(A very good solver introduction of the ns equation，rans method, dns.)

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.)

说明：  统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)