yuqing

说明：  异常值处理,粗大数据处理程序，MATLAB例程(Outlier processing, coarse data processing program, matlab routine)

sdram的内存初始化源代码，有要的赶快下-SDRAM memory initialization source code, there should be as soon as possible under the

Clarke模块在matlab中的实现，包含内部结构图。(The implementation of Clarke module in MATLAB includes internal structure diagram.)

无线通信基础的书，中英文版，从入门到精通(wireless communication book)

说明：  《Python数据挖掘入门与实践》 本书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。(Introduction and Practice of Python Data Mining)

地下城与勇士，DNF外挂的防卡伤害隐藏！(Anti-card damage concealment)

常用的盲分离算法有二阶统计量方法、高阶累积量方法、信息最大化（ Infomax ）以及独 立成分分析（ ICA ）等。这些方法取得最佳性能的条件总是与源信号的概率密度函数假设有关， 一旦假设的概率密度与实际信号的密度函数相差甚远，分离性能将大大降低。本文提出采用 核函数密度估计的方法进行任意信号源的盲分离，并通过典型算例与几种盲分离算法进行了 性能比较，验证了方法的可行性。(The commonly used blind separation algorithms include two order statistics, higher order cumulants, and maximization of information Infomax) and independent component analysis (ICA). The conditions for obtaining the best performance of these methods are always related to the hypothesis of the probability density function of the source signal. The separation performance will be greatly reduced when the assumed probability density is very different from the density function of the actual signal. In this paper, a method of kernel function density estimation for blind separation of arbitrary signal sources is proposed. The performance of several blind separation algorithms is compared with some typical examples, and the feasibility of the method is verified.)

该程序是思路是经过专门的顾问专家集十年的经验设计，能测试出人的性向（准确率在80%以上），能在很短的时间内测知人的性格适合做什么工作，适用于人事招聘。-that the procedure was thinking is specially set of expert consultants decade of experience design, can test the person"s personality (accuracy rate of above 80%), in a very short time mix inner character suitable for the work that applies to personnel recruitment.

说明：  光栅（产生完美涡旋光束，具有与拓扑荷数无关的半径大小）(Grating (producing perfect vortex beam with radius independent of topological charge))

说明：  伪距单点定位，GPS数据，卡尔曼滤波，扩展卡尔曼(Pseudo range single point positioning)