200755012570884

histogram based code for image retrival

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it s source modifications.

Finite element method using Matlab

本程序生成的图片容量大概3M左右，所以对计算机配置要求较高。(This program generates pictures capacity probably about 3M, so the higher the computer configuration requirements.)

说明：  C++的简单例子，让你对C++有个基本的了解。(A simple example of C++, C++ so you have a basic understanding.)

newton_raphson方法，广泛应用的积分方法。(newton_raphson method widely used in the integration method.)

一篇很好的将滑模控制与扩展卡尔曼控制结合的控制策略文章和源程序(A very good file with sliding mode control extended the Calman control )

介绍了一种快速信号相关算法，提高了相关计算效率，降采样频域相关(A fast signal correlation algorithm is introduced, to improve the relevant calculation efficiency, lower sampling frequency domain correlation)

用窗去除噪声，达到良好的去噪效果.通过不同窗的比较，得到满意的效果。(to discris the noise by a window)

Non maxima suppression and thresholding for points generated by a feature or corner detector.