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自己编写的一线性差波束MATLAB程序，波束综合程序(pattern synthesis program by myself)

The aim of this book is to teach you the ssentials of spectral collocation methods with the aid of forty short Matlab programs, or M-les

语音信号处理，均衡播放，说话者语音识别，加速播放以及回音音效(Speech signal processing, balanced play, speaker voice recognition, accelerated playback as well as echo sound)

book which helps on developing matlab files for motors

matlab的文件读取，用于读取DNA序列先分文件，再调用import data(matlab file reader for reading the DNA sequence of the first file, and then call the import data)

MARKOv的应用 Step 1，求出各食品数据的增长率； Step 2，编程，使快速上升（>=0.03） ，在程序中用“2”表示；缓慢上升 (0,0.03)，在程序中用“1”表示；相对不变 0，在程序中用“0”表示；缓慢下降(-0.03,0) ，在程序中用“-1”表示；快速下降 (<=-0.03)，在程序中用“-2”表示；得到各类食品在不同时期的 ； Step 3，统计相邻增长率变化的一致的次数 ，就菜籽油而言，在2010-3-5到2011-3-15，其增长率为先快速增长后相对不变出现的次数为‘20’=1；具体42中食品的输出情况见附录； Step 4，对每一种食品，分五类进行叠加求和，分别为“先快速增长”、“先缓慢增长”、“先相对不变”、“先缓慢下降”、“先快速下降”；得到 ； Step 5，求出一步转移概率矩阵E ；即 每行的每五个数据依次与对应的 相除，得到概率矩阵E 的一行； Step 6，使用求出的一步转移概率矩阵E ，并求出不同时期的状态概率(MARKOv application Step 1, to obtain the growth rate of each food data Step 2, the programming, so fast rise (> = 0.03), in the program with " 2" slowly rising (0,0.03), used in the program " 1" indicates relatively constant 0, by the program " 0" indicates slow decline (-0.03,0), in the program by " -1" rapid decline (< =- 0.03), in the program with " -2" means get all kinds of food at different times Step 3, the same number of adjacent growth statistics change on rapeseed oil, in 2010-3-5 to 2011-3-15, Its growth rate is relatively rapid growth of the number of times after the first change occurs is ' 20' = 1 42 Output of specific food in Appendix Step 4, for each kind of food, five points are superimposed sum, respectively, " First of rapid growth," " first slow growth" , " first relatively unchanged" , " first slow down" , " first rapid decline" get Step 5, to obtain a step)

一种标准的插值或“网格化”方案，基于高斯原理，无需预先计算就可以提高运算速度以及插值权重。(Nonuniform FFTs of the types discussed here are based, in essence, on combining some interpolation scheme with the standard FFT.)

基于MATLAB的m序列的产生及相关特性仿真(Based on the MATLAB m sequences and related characteristic simulation )

说明：  智能控制 模糊控制 神经网络控制序号 多变量控制系统设计(Intelligent control fuzzy control of multivariable control system design of the neural network control of serial number)

反馈控制系统的卡尔曼滤波器的simulink模型,用于熟悉卡尔曼滤波的MATLAB编程(simulink model Kalman filter feedback control system for the familiar MATLAB programming Kalman Filter)