对于小位移和桥梁变形的测量

本程序是Matlab的Simulink模块程序。模拟虚拟输出队列。是通信建模的入门模块。欢迎大家学习交流(This program is Matlab' s Simulink module program. Analog virtual output queues. Getting Started modules in communications modeling. Welcome to the Learning Exchange)

Rayleigh maximum likelihood filter for despeckling

matlab数据结构 算法工具箱, 包括堆栈 队列 2叉树 红黑树 等等(Data Structures & Algorithms Toolbox ==================================== The Data Structures & Algorithms Toolbox provides advanced data structures and algorithms for the Matlab(r) 5 environment. It implements functions to create and destroy singly and doubly linked list, stack, queue, binary tree and red-black (balanced) binary tree. Data elements can be inserted, deleted or searched for. A graphical representation of trees can be shown. All algorithms are clearly written as m-files, which allows the toolbox to be used as a teaching aid in educational data structures courses. This is the first implementation available of advanced datatypes, common in other languages, for Matlab.)

功率谱分析是信号处理的重要内容，包括频率解与动态区域解、误差改进方法等程序(Power spectrum analysis is an important aspect of signal processing, including the frequency of solutions and dynamic regional solutions to improve the methods of procedure error)

matlab中vstoolbox_R13的详解，及其建立的IBVS模型，提供一些简单例程。(matlab in the Detailed vstoolbox_R13, and the establishment of the IBVS model to provide some simple routines. )

基于蚁群算法的机器人路径规划matlab代码(Robot path planning based on ant colony algorithm matlab code)

modelling and simulation using matlab

说明：  求解分数阶微分方程的Runge_Kutta方法Fractional Differential Equations of Runge_Kutta method(Fractional Differential Equations of Runge_Kutta method)

离散的kalman滤波，计算信号的滤波值、预测值，估计误差及预测误差(kalman filter)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)