matlab-gui555555

说明：  用于产生高斯白噪声，以及给信号添加一个高斯白噪声的matlab源码，(Used to produce gaussian white noise add gaussian white noise to a signal of matlab source，)

一篇2007年全国数学建模竞赛的获奖论文，可以用来参考人口预测问题的写作。(A 2007 National Mathematical Contest in Modeling award-winning paper, can be used to refer to the population projections writing.)

SIFT图像配准，已测试比较好用，请大家放心使用(SIFT image registration)

真的是一个好程序，包括随机梯度算法，相对梯度算法，有借鉴意义哦，进行逐步线性回归，供做算法研究人员参考，最大似然（ML）准则和最大后验概率（MAP）准则。

function [D,Gamma,err,gerr] = ksvd(params,varargin)%KSVD K-SVD dictionary training.%  [D,GAMMA] = KSVD(PARAMS) runs the K-SVD dictionary training algorithm on%  the specified set of signals, returning the trained dictionary D and the%  signal representation matrix GAMMA.%%  KSVD has two modes of operation: sparsity-based and error-based. For%  sparsity-based minimization, the optimization problem is given by%%      min  |X-D*GAMMA|_F^2      s.t.  |Gamma_i|_0

Matcom是mathTools公司推出的一个能将M文件转化成相同功能C++代码的工具。相比Matlab自带的编译器Compiler，用Matcom转化代码要简单和方便得多。本文将结合作者编程经验，以VC6.0和Matcom为例，详细介绍如何利用Matcom进行VC与Matlab的联合编程。(Matcom is mathTools Company introduced a document can M into the same functional C code tool. Compared Matlab's own compiler Compiler, with Matcom into code should be simple and more convenient. In this paper the author programming experience, and Matcom VC6.0 example, details on how to use Matcom VC and Matlab for the joint program.)

统计模式识别工具箱，stprtool，安装在matlab中直接使用(Statistical Pattern Recognition Toolbox, stprtool, be used directly installed in the matlab)

matlab读取img格式的遥感数据的程序！！！ matlab研究遥感算法的桥梁啊 pudn首发(a piece of code of matlab that can read RS s data whose formate is .img.)

固有时间尺度分解——一种新的信号分解方法，算法简单，速度快，效率高。(Intrinsic time-scale decomposition--a new method of signal decomposition,it s simple,fast and efficient.)

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)