matlab源程序

matlab中实现最小生成树的kruskal算法(matlab kruskal to achieve the minimum spanning tree algorithm)

denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned filters, it is become obvious clear that for the given noisy image the Min filter acted much better than the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third good result respectively. That is way can conclude that the existing noise in the given image was Salt noise.

说明：  gyro matlab fire source file

很有用的对心电信号进行小波处理提取特征(n Very useful for ECG feature extraction using wavelet processing)

DSCDMA的matlab实现，当下ds-cdma是基带传输的主要组成部分，该程序通过对扩频、编码的应用实现。(DSCDMA matlab realize, the moment ds-cdma is a major component baseband transmission, the program spread through the encoding application implementation.)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

电梯控制模型的搭建,可生成对应的HDL代码(elevator control)

viterbi simulation K = 7 in qpsk modulation

说明：  如何使用遗传算法，里面有ppt教程与案例分析，遗传算法与优化问题(How to Use Genetic Algorithms)

说明：  用MATLAB解决遗传算法的问题,不需要用MATLAB遗传算法工具箱函数(MATLAB genetic algorithm to solve the problem, no genetic algorithms using MATLAB toolbox function)