Dijkstra

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Speech recognition matlab code

对matlab编写的积分函数做了总结，包括各种积分函数和它的matlab程序。(The integral function on matlab to do the preparation of a summary, including a variety of integral function and its matlab program.)

Sensoreless control in synchronous machines

通过二维图抽象的DCT变换，取前n和系数进行重构得到的图像进行显示(Two-dimensional map by abstraction of DCT, take the first coefficient n and displays the image reconstructed by)

对图像实现骨架化操作、提取边界、执行图像开运算度、增强图像对比度并提取文本图像中的某些字符对象。(Implementation of the image skeleton operation, extraction of the border, the implementation of open computing degree images to enhance image contrast and to extract the text of some of the characters in the image object。)

使用方法如下： --------------------------------- hcmenu1= uicontextmenu uimenu（hcmenu1,...) uimenu（hcmenu1,...) showcontextmenu（hObj，hcmenu1） --------------------------------- 尝试使用实例test_showcontextmenu.m。 这也包含了日常琐碎的一些功能： getParentFigure（hObject） ％的投资回报hObject的父母图 getPositionOnFigure（hObject，单位） ％返回对象的绝对位置上的数字 getRelPosition（hObject，单位） ％的人能（hObject， 定位 ）与特定的 单位 (Use as follows: --------------------------------- hcmenu1 = uicontextmenu uimenu(hcmenu1,...) uimenu(hcmenu1,...) showcontextmenu(hObj,hcmenu1) --------------------------------- Try test_showcontextmenu.m for usage example. This also contains a number of trivial routine functions: getParentFigure(hObject) returns hObject s parent figure getPositionOnFigure( hObject,units ) returns absolute position of object on a figure getRelPosition( hObject,units ) get(hObject, Position ) with specific units )

说明：  稳健稀疏PCA算法，能够对噪音与异常点数据表现稳健(Robust Sparse PCA)

matlab进行数字提取时，数字模板模板库！(matlab number)

基于levelset的测地活动轮廓 matlab源码，可实现多目标轮廓的 提取。对噪声图象具有良好的鲁棒性。但是计算量较大，耗时过多(levelset based on the geodesic active contour Matlab source, more achievable goal contour extraction. Image noise is a good robust. However, the large amount of calculation, time-consuming excessive)