pam

说明：  这是用MATLABgui进行图像处理的一个例子，适合初学者使用(this is a example of using matlab gui to process image.It is great for the green hand of matlab gui.)

说明：  《先进PID控制及matlab仿真》一书的源程序(&quot Advanced PID Control and matlab simulation&quot of the source book)

勒让德多项式德生成，在matlab 中德勒让德多项式不能直接用于求导数等计算，故可以自己定义(Legendre polynomials Germany generation, Dragulescu in Matlab which allow polynomials not be directly used for such derivative, it can own definition)

对于无源定位系统，采用扩展卡尔曼滤波的方法对定位精度进行了分析。(For the passive positioning system, using the extended Calman filter method for positioning precision was analyzed.)

这是基于MATLAB的偏微分方程的腐蚀算子！(This is based on the partial differential equations MATLAB corrosion operator!)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

matlab和C混编，处理乘性噪声，求解变差模型。(Written by M. Kang, S. Yun, and H. Woo, the corresponding paper is "Two-level convex relaxed variational model for multiplicative denoising")

The MATLAB simulation for Least Mean Square (LMS)and LMS equilizer.

图像处理matlab频谱几何变换、旋转、差值(failed to translate)

random spectrum sensinh is the aim of this mfile.