EmpericalCDF

LADT ECG Compression Algorithm 1

说明：  在网上下载的好用的傅里叶变换程序 时域变频域信号分析(Fourier transform program)

说明：  很实用的matlab程序，希望大家能够给予多多的关注和支持 ，谢谢(Very useful matlab )

在用 DFT 计算连续信号时可能出现频谱混叠现象、泄露、栅栏效应(signal aliasing)

An example of the German enigma encryption technology COOL

直流电动机的机械特性，很有用的，MATLAB仿真(DC motor mechanical properties, very useful, MATLAB simulation)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

in this project we develop a source code in matlab which take attendance automatically, The source code and data base are available in this file

stbc alamouti code with all modulation scheme

这个源码可以分析绘制多种信号的模糊函数，已经试验过巴克码，线性调频信号，脉冲信号等(Description: This program estimates and plots the ambiguity function for any signals. I have tested it for the Barker code, chirp signal, pulse signal. for good results the length of the input vector (Ut)should be more than 7. Example- a rectangular pulse should be described as[1 1 1 1 1 1 1]. Please, give your suggestions. it is made with the help of "xcorr" function (Author: R. Losada) in MATLAB and Ilia Iliev from TU-Sofia )