PredictPower

在matlab环境下，利用同余法产生（0,1）均匀分布随机数(Matlab environment congruential method (0,1) uniformly distributed random numbers)

matlab code file prac course

fuzzy c_meanc code algorithm

说明：  matlab数学建模 （李昕）清华大学出版社 全书附带源码(The Chinese book of "Matlab Mathematics Modelling" from Tsinghua University Press original code.)

说明：  有多个文件 可以根据文件名和注释进行选择 提取算法可以根据嵌入算法 自行写出 提供了较好的抗压缩和抗剪切的效果(a number of documents under the file name and choose Notes extraction algorithm can write their own algorithms embedded mention for a better compression and anti-shear effect)

本人收集matlab实现最小二乘法线性、一元多项式拟合、多元二次拟合、自编函数曲线拟合程序，有文档说明(I collect the linear least squares method matlab realize, one yuan polynomial fitting, multivariate quadratic fit, self-function curve fitting procedures, documentation)

Example of wavelet function Mexican hat, haar,

基于SimMechanics的刚体系统建模masslessfourbar案例(SimMechanics modeling)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)