dda-ellipse

When I first studied Kalman filtering, I saw many advanced signal processing submissions here at the MATLAB Central File exchange, but I didn t see a heavily commented, basic Kalman filter present to allow someone new to Kalman filters to learn about creating them. So, a year later, I ve written a very simple, heavily commented discrete filter.

File about morphologic in matlab

语音信号处理 包括语音信号的同态处理和先行预测编码分析（LPC） 隐马尔可夫模型的分析（HMM）等(The voice signal processing includes a voice signal the homomorphic processing and the first prediction coding analysis (LPC) analysis of the Hidden Markov Model (HMM))

这是一个关于直线拟合的matlab程序，绝对原创(Linear fitting)

SAR图像处理算法，利用CS算法对回波信号进行处理成像。(SAR image processing algorithms, using the CS algorithm the echo imaging.)

一个用MATLAB实现边缘检测的小程序！(Using MATLAB to achieve a small edge detection procedure!)

二维索尔分解解二维矩阵方程matlab程序(Two Wei Suoer decomposition solution matrix equations matlab program)

this tuturial is a basic of Matlab.This document is a guide for Matlab begginers and for people who want to be an experts,too.

matlab软件求解偏微分方程组的经典的有限差分程序代码(matlab software to solve the classic Partial Differential Equations Finite Difference code)

说明：   使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。 (The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)