GPCAPDASpectral

产生与故障相关的随机数,包括故障名称，列车编号，车厢类型等，可随意增加。(Generate random numbers associated with the fault, including the fault name, train number, car type, etc., can be increased.)

说明：  全文目录包括： 1、绪论 2、编程基础 3、概率论与数理统计基础 4、蒙特卡洛原理 5 粒子滤波原理 6 改进粒子滤波算法 7 粒子滤波在目标跟踪中的应用 8 粒子滤波在电池寿命估计中的应用(Full text catalog includes: 1. Introduction 2.Fundamentals of programming 3. Probability theory and basis of mathematical statistics 4. Monte Carlo principle 5 principle of particle filter 6. Improved particle filter algorithm 7. Application of particle filter in target tracking 8. Application of 8 particle filter in battery life estimation)

高加速寿命试验（HALT）的相关知识与文章，可帮助硬件开发人员提高产品的可靠性与寿命，大大缩短开发周期(Highly Accelerated Life Test (HALT) of the relevant knowledge and articles that can help hardware developers to improve product reliability and service life, greatly shorten the development cycle)

递推极大似然估计法辨识系统参数，输入是M序列，周期为N=24-1。利用递推极大似然算法对系统参数进行辨识(Recursive maximum likelihood estimation method identification system parameters, input M-sequence, period N = 24-1. Using recursive maximum likelihood algorithm for identification of system parameters)

《我们最幸福：北朝鲜人民的真实生活》（英语：Nothing to Envy: Ordinary Lives in North Korea）是《洛杉矶时报》记者芭芭拉·德米克（Barbara Demick）访问6位来自朝鲜清津市的脱北者后，于2009年出版的半小说形式报道文学书籍。("We are most happy: the real life of the people of North Korea" (English: Nothing to Envy: Ordinary Lives in North Korea) is the "Los Angeles Times" reporter Barbara Demick (Barbara Demick) Access 6 from North Korea Chongjin after the defectors, published in 2009 in the form of semi-fiction books literature reports.)

使用matlab软件建立AR模型，对于预测模型具有很准确、(Matlab software using the AR model for the prediction model is accurate,)

文件给出了matlab环境下的低通滤波仿真，并对每句话进行了分析(File under given matlab simulation of low-pass filter, and analyze every word)

说明：  随机信号处理AR自回归模型，谱分析的一种重要方法(Random signal processing AR auto-regressive model, spectral analysis of an important method)

propagation of 1_d wave in peresenc of dielectric slab

对图象重建，进行７＊７中值滤波，对图象进行锐化处理，和均值滤波的比较(right image reconstruction, 7* 7 Median filtering, the image sharpening, and the mean filter comparison)