UFM

刘金琨教授写《滑模变结构控制matlab仿真》随书程序源码(Professor Liu Jinkun write " Sliding Mode Control matlab simulation" program source code with the book)

《MATLAB神经网络30个案例分析》中的第19个例子，案例19 概率神经网络的分类预测-基于PNN变压器故障诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 19 example, 19 cases of probabilistic neural network classification prediction based on PNN transformer fault diagnosis. Hope to have certain help to everybody! )

1.对原图像高斯平滑 　　2.对高斯平滑后的图像进行sobel边缘检测。这里需要求横的和竖的还有联合的，所以一共三个需要sobel边缘检测图像。 　　3.对联合的sobel检测图像进行非极大抑制 　　4.连接边缘点并进行滞后阈值处理。 (1. Gaussian smoothing the original image 2. Gaussian smoothed image was sobel edge detection. Here and there on request transverse vertical joint, so a total of three required sobel edge detection image. 3. sobel joint detection image greatly inhibit non- 4. Connect the edge point and hysteresis thresholding.)

matlab程序30个基础小例子，非常适合初学者学习和了解。(matlab program 30 based small example, very suitable for beginners to learn and understand.)

说明：  本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。 (The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction, clustering were done using matlab6.5.)

Writing GNU Emacs Extension

台阶的磁异常正演绘图程序 可选择不同的角度(The forward step of the magnetic anomalies can choose a different perspective drawing program)

MATLAB小程序:关于MATLAB中字符串的操作的程序(small MATLAB : MATLAB string on the operating procedures)

基于压缩感知的图像处理，分别使用二维DCT、FFT和一维dwt变换对图像信号进行稀疏变换，然后使用正交匹配追踪算法进行重构，在进行相应的逆变换(This is a image processing procedure based on compressed sensing which respectively uses two-dimensional DCT, FFT and one-dimensional dwt transform to sparse the image signal and then uses the orthogonal matching pursuit algorithm for reconstruction.)

说明：  时频分析方法是非平稳信号处理的一个重要分支，它是利用时间和频率的联合函数来表示非平稳信号，并对其进行分析和处理，利用时频分析法对语音信号进行去噪。(Non-stationary time-frequency analysis is an important branch of signal processing, it is the joint use of time and frequency functions to represent the non-stationary signal and its analysis and processing, using time-frequency analysis of the speech signal denoising. )