syn_start_resister

经典的利用matlab做的卡尔曼滤波。代码可以运行。读者可以和PF对比；(Classic Kalman filter using matlab to do. Code can run. Readers can compare and PF )

Introduction to MATLAB

本程序为《结构分析的有限元法与Matlab程序设计》第三章的第一个算例，采用平面梁单元计算平面刚架的变形和内力，已经过修改。(This program is "structural analysis of the finite element method and Matlab Programming" chapter of the first example, the use of plane beam element of plane frame deformation and internal forces, which have been modified.)

说明：  用于拉曼光谱的处理，包括去除荧光背景，自动拟合并自动储存结果。(For the treatment of Raman spectroscopy, including the removal of the background fluorescence, automatic fitting results of automatic storage.)

说明：  beamforming 最低旁瓣 利用的是cvx(The lowest side lobe of beamforming is CVX)

根据牛顿插值原理进行数据的拟合，附有牛顿插值原理和它的matlab的实现方法，有点简单了，但是过程中的好些地方还是值得学习的。(Newton interpolation carried out in accordance with the principle of data fitting, with Newton interpolation matlab principle and its realization method, a bit simple, but in the process of a number of places it is still worth learning.)

Video player to access single video frames for further processing. (e.g.: annotations, retrieve coordinates of single pixels, etc) The player can either be controlled using its GUI or remotely by method calls. It also features various events and properties allowing the user to keep track of the player state and playback process.

matlab code for tsp programming which is very good program

说明 cloudPlot将有助于形象化的一个二维数据集的分布。这是特别有用当在非常大的数据集凡redular阴谋（的x，y, . )只是填充纯色的情节，因为测量点重叠看着对方。 cloudPlot使用内置的例程在MATLAB中轴线设置限制，并适当格点的数据。 MATLAB的释放MATLAB的7.7（R2008b） (Description cloudPlot will help visualize the distribution of a 2-dimensional dataset. It is especially helpful when looking at extremely large datasets where a redular plot(x,y, . ) will just fill the plot with a solid color because the measurement points overlap each other. cloudPlot uses the built-in matlab routines to set the axis limits and grid points appropriate to the data. MATLAB release MATLAB 7.7 (R2008b))

基于灰度图像的目标物的提取、边缘检测、迭代收缩(Extract target grayscale images based on edge detection, iterative shrinkage)