sa_Ex3_2

这儿是一些与全变差有关的资料，对于研究全变差方法在图像处理中的应用十分有用！(Here is some information related to the total variation, total variation methods for research in image processing application is very useful!)

这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。(This program is the most basic particle swarm optimization procedures, using Matlab to achieve, is very simple.)

信标节点位于等边三角形顶点的仿真Simulation1(The Simulation Simulation1 beacon node is located in an equilateral triangle vertices)

techniques for solving a single nonlinear equation

无线传感器网络定位技术中可以用卡尔曼滤波来改善定位精度(the Kalman filter can be used to improve the positioning accuracy of location in wireless sensor networks )

Klaas Gadeyne, a Ph.D. student in the Mechanical Engineering Robotics Research Group at K.U.Leuven, has developed a C++ Bayesian Filtering Library that includes software for Sequential Monte Carlo methods, Kalman filters, particle filters, etc. (Klaas Gadeyne. a Ph.D. student in the Mechanical Engineering R obotics Research Group at K. U. Leuven, C has developed a Bayesian Filtering Library th at includes software for Sequential Monte Carl o methods, Kalman filters, particle filters, etc..)

说明：  扩展卡尔曼滤波 用于信号处理, 初学者可是直接仿真使用(Extended kalman filter for signal processing, beginners but direct simulation use)

This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user

说明：  脉冲不变法变换巴特沃思低通滤波器设计 基于matlab仿真编程(pulse unchanged France transform Butterworth low-pass filter design based on Matlab simulation programming)

GN距离法是一种基于马氏距离的建模集样品的挑选算法(GN distance method is a kind of based on markov distance modeling set sample selection algorithm)