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TOpological 图象分割 程序 Matlab 源代码(Topological_derivative_Segmentation 图象分割 程序 Matlab 源代码)

自适应噪声对消在微弱电力信号检测中的应用可以检测到很微弱的信号保护电力线进行了MATLAB仿真(Adaptive noise cancellation in the weak electrical signal detection application can detect very weak signals to protect the power lines of the MATLAB simulation)

牛顿法，一种高效的优化方法，对于无约束的优化问题有效(Newton, an efficient optimization method for unconstrained optimization problems effectively)

简单的语法缝隙器，可以比较详尽的分析输入语句的语法成分。把想要分析的语句放到parser.in文件中，编译即可看到结果。(Simple syntax gap, you can enter a more detailed analysis of the syntax of the statement components. The statement you want to analyze into parser.in file, the compiler can see the results.)

三电平I型拓扑结构的SVPWM仿真模型，供大家参考学习。(The three level SVPWM simulation model of I topology, for reference study.)

程序代码说明 P0701：细胞边缘检测 P0702：癌细胞形态学分析 P0703：癌细胞颜色分析(code P0701 Note : Cell Edge Detection P0702 : Morphological analysis P0703 cancer : cancer color analysis)

说明：  数字图像处理及MATLAB实现(余成波)PDF版(Digital image processing and MATLAB implementation (YU Cheng-bo) PDF version)

该程序描述的是数字电视地面广播中卷积交织部分.因为是卷积交织所以最后结果中出现为的数值表示该值是前一包缓冲数据的数.但针对第一包数据做卷积交织时,这些零位置上最后确实自动补零.(The procedure is described in digital TV terrestrial broadcasting in parts of Convolutional Interleaver. Convolutional Interleaver because it is so final results for the numerical value is that the previous data on the number of packet buffer. But for the first packet data do Convolutional Interleaver These zero position is indeed the last automatic zero.)

说明：  这是一段关于matlab的for循环的研究演示例子的说明(This is the section on Matlab for recycling demonstration examples of the note)

该程序实现多特征自适应阈值算法，两个matlab文件，一个为函数，该函数求出信号的特征量值并通过梯度下降法训练出其初始阈值，另一个为主函数，调用该函数文件；该程序将4路信号，每一路信号的特征量值及其自适应阈值求出来，并一起画出图来。(The program features multi-adaptive threshold algorithm, two matlab files, one for the function,the function seek out characteristics value and initial threshold value of the signal by gradient descent , the other main function, called the function file the program seek out four signals , characteristics of each road and the adaptive threshold value,then draw them together on the map.)