signal-processing

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)

对影像例如SAR，RS等图像进行校正，具有好的效果(calibrate a series of images such as remote sensing image, and etc. )

采用meanshift算法，对小目标进行跟踪，并在多种背景条件下对算法进行验证(Meanshift algorithm used for small target tracking, and in a variety of background conditions to verify the algorithm)

该函数可以读取三导联电极贴片设备采集的运动心电图数据和三轴加速度信号(This function can be read three-lead electrode placement equipment acquisition exercise ECG data and triaxial acceleration signals)

在MATLAB中求图像纹理特征，相控阵天线的方向图（切比雪夫加权），matlab程序运行时导入数据文件作为输入参数，合成孔径雷达（SAR)目标成像仿真，采用加权网络中节点强度和权重都是幂率分布的模型，采用了小波去噪的思想。( In the MATLAB image texture feature, Phased array antenna pattern (Chebyshev weights), Import data files as input parameters matlab program is running, Synthetic Aperture Radar (SAR) imaging simulation target, Using weighted model nodes in the network strength and weight are power law distribution, Using wavelet denoising thought.)

电力系统暂态稳定程序，可以进行暂态稳定计算,外文资料里面的源代码，本科毕设要求参见标准测试模型。( Power System Transient Stability Program, can be transient stability, Foreign materials inside the source code, Undergraduate complete set requirements refer to the standard test models.)

在matlab的环境中，根据各种算法提取到的信息来输入SVM分类器中进行训练(classify different various sorts of information in svm)

THIS matlab code is STTD

说明：  在matlab环境下，利用近邻法解决非线性分类问题(In the matlab environment, the use of neighbor method to solve nonlinear classification problems)

针对基于可见光视频图像处理的水上弱小目标检测中存在的问题， 综述目前该领域的国内外研究进展， 从动态背景建模 前景目标检测和跟踪等方面分析各种方法 算法的优势和不足， 指出目前需要解决的问题， 并展望该领域的研究前景(In view of the problems existing in small and weak target detection on the sea surface based on visible light video image processing，the research advances at home and abroad in this field are summa- rized. The advantages and limitations existing in the methods and algorithms are analyzed from several aspects including dynamic background modeling，foreground target detection and tracking. Problems which need to be solved at present are pointed out，and promising research directions in this field are proposed.)