matlabzhuiganfa

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets)

基于matlab数字图像处理技术随书源代码第10章(Based on matlab digital image processing technology with the book source code Chapter 10)

包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，主要为数据分析和统计，光纤陀螺输出误差的allan方差分析。( It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Mainly for data analysis and statistics, allan FOG output error variance analysis.)

该文档给出了KALMAN滤波的MATLAB语言实现程序，希望对初学者有所帮助(The document gives the KALMAN filter MATLAB language program, want to help beginners)

Compare of 03 mppt fuzzy logic controllers

通过仿真得到 信号误码率与信噪比的关 系, 从而为实际中 调制和解调 系统设计提供一定的理论依据。 同时 , 通过仿真技术的探讨 , 以期能为 专业教学改革提供一些新的思路(Received signal through the simulation bit error rate and SNR, in order to practice the design of modulation and demodulation system to provide a theoretical basis. At the same time, the adoption of simulation technology with a view to a professional teaching reform to provide some new ideas)

说明：  自适应滤波的MATLAB实现（包括LMS，LRS、NLMS等算法(Adaptive Filtering MATLAB implementation (including the LMS, LRS, NLMS algorithm, etc.)

全国大学生建模竞赛必备Matlab源码，包含多种数学处理函数。(The National Undergraduate Modeling Contest essential Matlab source code, contains a variety of mathematical processing function.)

迭代自组织数据分析，是本科毕设的题目，使用高阶累积量对MPSK信号进行调制识别。( Iterative self-organizing data analysis, The title of the commercial is undergraduate course you Using high-order cumulants of MPSK signal modulation recognition.)

语音信号的盲分离，是一个很好的在没有先验知识的情况下的分离程序！(voice signals in the blind separation is a good in the absence of a priori knowledge of the separation procedure!)