DIGITAL-COMMUNICATION

利用改进的相位一致性原则实现图像的边缘检测，效果非常好，内含两幅实验图像与四个子代码。(simulating using the principle of Phase consistency to image edge detection, the effect is very good, including two experimental image and the four sub-code.)

Lte fundamentals and mathematical algorithms

基于matlab的粒子群优化算法，并且包含几种典型的测试函数(A Matlab optimization algorithm based on particle swarm, and contains several typical test functions.)

to help new student how to use matlab

说明：  RML极大拟然参数估计方法辨识程序 可以很好实现 好的很(RML great natural parameter estimation method proposed identification procedure can achieve good very good)

用于达芬阵子求互信息延时的计算，可以很好的用于非线性动力学(duffing mutual)

利用matlab实现简单的数字信号处理的问题，有详细的源代码和分析(Using matlab to achieve a simple digital signal processing problems, detailed source code analysis)

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

Chaotique algorithm Image

SVM支持向量机。使用quadprog实现了SVM机器学习，把训练数据分成两组，找到决策面。(SVM Support Vector Machine. SVM achieved using quadprog machine learning, the training data into two groups, find decision-making surface.)