角点检测算法和随机抽样一致性算法

用matlab实现的图形文字匹配，配有文字图片(Matlab implementation of the graphical text with matching pictures with words)

voice box tool box for matlab

This matlab code is about RBF Network

％ 用途：选列主元Gauss消去法解线性方程组ax=b ％ 格式：x=nagauss2(a,b,flag) a为系数矩阵，b为右端列向量，flag若为0，则显示中间过程 ％ 否则不显示，默认值为0，x为解向量 ( Usage: Selected Principal Gauss elimination method solution of linear equations ax = b format: x = nagauss2 (a, b, flag) a for the coefficient matrix, b for the right side column vector, flag if it is 0, it shows the middle Otherwise, the process does not appear, the default value is 0, x for the solution vectors)

matlab课件很有用的,对matlab学习很有帮助,希望采纳谢谢(it s very useful)

matlab程序运行时导入数据文件作为输入参数，进行波形数据分析,阵列信号处理的高分辨率估计，基于人工神经网络的常用数字信号调制，相关分析过程的matlab方法，IMC-PID是利用内模控制原理来对PID参数进行计算。

Information =========== Project webpage: http://www.cs.uchicago.edu/~pff/latent/. This is an implementation of our object detection system based on mixtures of deformable part models. The current implementation extends the system in [2] as described in [3]. The models in this implementation are structured using the grammar formalism presented in [4]. The distribution contains object detection and model learning code, as well as models trained on the PASCAL and INRIA Person datasets. This release also includes code for rescoring detections based on contextual information. The system is implemented in Matlab, with a few helper functions written in C/C++ for efficiency reasons. The software was tested on several versions of Linux and Mac OS X using Matlab versions R2009b and R2010a. There may be compatibility issues with other versions of Matlab. For questions concerning the code please contact Ross Girs

矩阵化后，存储为系数矩阵的SPH程序计算液体旋转(Matrix Form SPH Saved in sparse matrix form for computing rotating liquid drop)

单机无穷大系统的暂态稳定分析，附m文件和word使用说明(Transient machine infinite system stability analysis, attached files, and word instructions for use m)

无标度复杂网络代码，可直接运行！根据参数设定，生成预期网络结构！(Scale-free complex network code can be run directly! According to parameter setting to generate the expected network!)