Obot7033n

一个电机的卡尔曼滤波程序，在MATLAB软件下仿真(A motor Calman filtering procedures, simulation in MATLAB software)

实现典型相关分析，基于SVPWM的三电平逆变的matlab仿真，基于kaiser窗的双谱线插值FFT谐波分析。( Achieve canonical correlation analysis, Based on SVPWM three-level inverter matlab simulation, Dual-line interpolation FFT harmonic analysis kaiser windows.)

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

航位推算代码，内含三种常见的平滑处理方法代码 内含部分数据(Dead reckoning code, containing three common smoothing method code)

BM3D的程序，基于最小均方误差准则。很好用(Date released 1/08/2012, version 0.1. Functions for Matlab for the denoising of a SAR image corrupted by multiplicative speckle noise with the technique described in A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage )

《MATLAB编程》matlab编程应用基本叫操(" MATLAB Programming" matlab programming application called basic operations)

How to image processing using matlab: load image, BW, edge detection, noise remover, sharpening by any method by simple code (lp2m aray jakarta)

精通MATLAB6.5（张志涌，精简版）一书作为刚接触matlab的实用书籍。(the e-book ,master MATLAB 6.5 author zhangzhiyong,is a useful helper for those who just start to learn MATLAB.)

TextField.getDepth 返回文本域的Depth（深度） TextField.getNewTextFormat 获得最新加入文本的默认文本格式 TextField.removeTextField 删除使用MovieClip.createTextField创建的文本域 TextField.setNewTextFormat 对新加入的文本设定为新格式 (TextField. GetDepth returns the text field the Depth (Depth) TextField. Get the latest to join the text getNewTextFormat TextField. The default text format removeTextField delete using the MovieClip. CreateTextField created text field TextField. SetNewTextFormat for new text set to the new format)

说明：  用于求解信号子空间与阵列流型的拟合问题，即信号子空间的拟合与噪声子空间的拟合。(Used to solve the signal subspace and array manifold type of fitting that the signal subspace fitting and subspace fitting.)