chirpscaling

包括粒子群算法的MATLAB工具箱和PDF文档的使用说明(PSO TOOLBOX IN MATLAB)

经典的标量JA 模型的代码。解压之后多次检测可用，简单方便适合初学者(HYBRID JA FERROMAGNETIC HYSTERESIS SIMULATOR)

说明：  本资源运用Matlab中的计算机视觉技术对视频监控中的运动人体的一些异常行为进行研究分析，涉及到了运动目标检测以及跟踪和人体异常行为检测等几个方面。背景模型的建立则是分别利用了中值滤波法和二值化背景模版建模法，通过帧间差分 来实现不断更新背景模版。在检测运动人体异常行为中，本文在检测运动人体跌倒的异常行为时利用外接矩形来确定运动人体及其质心，并通过定义一些特征算子来把人体行为进行量化，从而判断是否行为异常。(In this paper, we use matlab technology to detect abnormal human movement and video resources. The background model is established by using the median filtering method and the binary background template modeling method, through the frame difference To update the background template constantly. In the detection of abnormal behavior of moving human body, this paper uses the outer rectangle to determine the moving human body and its center of mass, and defines some characteristic operators to quantify the human behavior, so as to determine whether the abnormal behavior.)

three phase harmonics pll

秩和检验的Matlab源码程序，计算两类变量所含显著差异的变量(Rank sum test of the Matlab source code program to calculate two types of variables contained in significant differences in the variables)

The idea is from "The Blur Effect: Perception and Estimation with a New No-Reference Perceptual Blur Metric" Crété-Roffet F., Dolmiere T., Ladret P., Nicolas M. - GRENOBLE - 2007 In SPIE proceedings - SPIE Electronic Imaging Symposium Conf Human Vision and Electronic Imaging, É tats-Unis d Amérique (2007)(Measure the blur level of still image.)

matlab 时频分析工具箱 matlab 时频分析工具箱time-frequency analysis toolbox(time-frequency analysis toolboxtime-frequency analysis toolboxtime-frequency analysis toolbox)

数值分析中的Lagrang插值算法，用于曲线拟合的方法。(Lagrang interpolation)

钟型隶属函数-g参数变化钟型隶属函数-g参数变化(Bell-shaped membership function-g parameter bell-shaped membership function-g parameters)

A simple function that takes an image and a mask as the input, perform compression and decompression on the image (color image compression if input image is color), and display the original and reconstructed images side by side. The program should also be able to compute the SNR of the reconstructed image.