cas

说明：  单倒摆 simulink仿真文件(Single inverted pendulum simulink simulation file)

对图像的相关性进行算法研究，制定图像压缩算法(The correlation between the image algorithm, image compression algorithm developed)

matlab code for emotion

plot the qam .Useful for the beginners.

This is a source code for having echo effect in sound via DSP techniques

Correlation.m a good code for our learn matlab .

首先是针对无或单失效数据情形下，通过多层贝叶斯估计法得到失效概率过后，给出了寿命分布参数的加权最小二乘估计。然后如果失效数据不止一个，使用乘积限估计法来得到失效概率的估计值。(Firstly, the weighted least squares estimation of the life distribution parameters is given by the multi-layer Bayesian estimation method after the failure probability is obtained for the case of no or single failure data. Then if the failure data is more than one, the product limit estimation method is used to obtain the estimated value of the failure probability.)

说明：  SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow. This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be - correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable - useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.(SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow. This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable- useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.)

MIMO系统程序,MATLAB原程序，运行可以通过(THE sysetem of MIMO)

小波分析由于具有同时分析信号时域和频域的特性，所以使用小波分析技术对检测的信号进行变换，然后对具有故障特性的信号进行重构，最后通过希尔伯特变换进行解调和细化频谱分析，从而轴承中的故障信息成分就可以检测出来，以判断轴承发成故障的部位。(Wavelet analysis has the characteristics of both time and frequency domain, so the wavelet analysis technique is used to transform the signal, then the signal is reconstructed. Finally, the fault information components of the bearing can be detected by Hilbert transform.)