fast_motion

How to start or stop a windows NT service.

自己编写的比较全面的故障诊断matlab函数程序，包括统计法、时域法、时间序列法、频谱及功率普密度函数、小波分析法程序中有详细的说明。(their preparation of a more comprehensive fault diagnosis Matlab function procedures, including statistics, time domain, time series, and power spectral density function Pronk, wavelet analysis procedures are described in detail.)

三次多项式轨迹规划，，，无中间点角位移图(Three order polynomial trajectory planning,,, no intermediate angle displacement diagram)

状态卡方检验法主要是通过卡尔曼滤波器的状态来估计系统是否故障。，该程序是GPS/INS的组合。(Status chi-square test method is mainly through state Kalman filter to estimate the system malfunctions. The program is a combination of GPS/INS' s.)

说明：  按照全赛一等奖论文中叙述的算法编写，含有C和MATLAB两种程序(In accordance with the competition the first prize paper describes an algorithm written in MATLAB with C, and two procedures)

This package is used for exponential smoothing models

it is file of document to forgery detection method in 3d image

利用拉普拉斯变换的思想，通过对数据进行差分，近似得到拉普拉斯变换后的结果，然后检查正负交换的位置，则此为极值点位置，利用此思想得到极值点的位置。(Using the ideas of Laplace transform of the data by the difference approximation get results Laplace transform, and then check the position of the positive and negative exchange, this is the extreme position, take advantage of this thinking of getting extreme points location.)

单件模块，包括单件类和单件宏，使用单件宏能够从一个类(orgClassName)派生出一个单件类(newClassName)，并保持基类的功能。 (Single module, including a single category and single-hong, the use of a single category from a macro (orgClassName) derived from a single category (newClassName), and maintain the functions of base class.)

线性预测法是语音处理中的核心技术，它在语音识别、合成、编码、说话人识别等方面都得到了成功应用。有的专家认为，进20年中语音处理技术的飞速发展与以线性预测为中心的信号处理技术是分不开的。简单来说，就是：一个语音的抽样能用过去若干语音抽样的线性组合来逼近。 (Linear prediction is the core voice processing technology, which in speech recognition, synthesis, coding, speaker recognition and so on have been successfully applied. Some experts believe that 20 years into the rapid development of voice processing technology and to forecast as the center of linear signal processing technology are inseparable. To put it simply, is: Can a voice sample voice over the past number of linear combinations to approximate the sample.)