MAS

商标文字分割源程序(Trademarks source text segmentation)

matlab教程的pdf文件（上），华中科技大学的内部资料(matlab tutorial pdf file (on), Huazhong University of Science and Technology)

这是信息隐藏的MATLAB源程序，其中包含有基本的信息隐藏算法(This is the MATLAB source of information hiding, which contains basic information hiding algorithm)

this code implementation ladar.

本程序的性能已经超过其他算法，单径或多径瑞利衰落信道仿真，通过虚拟阵元进行DOA估计。( This program has exceeded the performance of other algorithms, Single path or multipath Rayleigh fading channel simulation, Conducted through virtual array DOA estimation.)

chapter 2 matlab codes from ebook "AEMM"

说明：  本程序可以将一个给定线性系统转换成龙伯格能控/能观II型。此线性系统由A,B,C,D四个矩阵描述(This program can transform a given linear system controllability Jackie Berg/observability II type. This linear system is composed of A, B, C, D four matrix description)

这里包括synthetic aperture radar signal processing with matlab algorithms 英文书以及附带源代码，书是全英文的，作者是Mehrdad Soumekh，书中有详细的雷达信号处理方法，附带程序中的成像算法包括一维距离像、条带式、聚束式等多种模式的SAR成像。可以作为有一定SAR基础的同行的编程参考。 (The files include the book of synthetic aperture radar signal processing with matlab algorithms English books and its source code, book is in English, the author is Mehrdad Soumekh. The imaging algorithm includes a one-dimensional range profile, band type, spotlight SAR imaging a variety of modes. SAR can be used as the basis of a certain peer programming reference.)

DWT transformation is used to describe the image compression

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.)