exercise

Doc版的Matlab编程教程－精简版噢，很不错啊(Doc version of Matlab Programming Tutorial- Starter Edition Oh, very错啊)

双线性随动 等向强化应变控制循环对称加载(Bilinear kinematic strain-controlled cyclic isotropic hardening symmetrical load)

空时分组编码(STC)就是在空间域和时间域两维方向上对信号进行编码,是MIMO技术里面十分重要的一个环节。(Space-time block coding (STC) is in the space domain and time domain two-dimensional direction of the signal coding, MIMO technology, which is very important aspect.)

CombineCoeff function

a var controller is presented.

借助matlab平台实现卡尔曼滤波算法，并对其外滤波后的误差进行分析(With the aid of matlab platform to realize the kalman filter algorithm, and the outer filter after the error is analyzed )

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

this code contain function and simple program for voice pattern recognition using MELCEPST

说明：  利用leslie人口模型来解决数学建模中的鱼群数量增减的问题： 具体问题在《数学建模与实验》（科学出版社）的153页第四题。(Leslie population model using mathematical modeling to solve the problem of increase or decrease in the number of fish: specific issues in the &quot Mathematical Modeling and Experiment&quot (Science Press) is the fourth 153 title.)

自己的一个实验,验证频率的采样定理.即采样点数要足够大.(own an experiment to test frequency of the sampling theorem. That sampling points should be powerful enough.)