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基于matlab的数字识别程序，将图像中的数字转化为txt文本(Matlab-based digital identification procedures, the number of images in the text into a txt)

基于matlab的最优化算法，此文为最经典的powell算法，很好的程序，简洁，易懂(optimization algorithm, the article for the most classic powell algorithm, very good procedures, concise, understandable)

一种新的符号定时和载波频率同步算法,该算法将OFDM符号分成几部分。它使用相关性和积累在几个OFDM 符号获得估计函数。当部分的长度小于ISI自由地区,该算法可以识别它。然后估计的最优符号定时和载波频率偏移可以获得。计算机仿真结果表明,该算法不仅可以跟踪时变信道变化但也有较小的MSE比ML估计算法。(A new symbol timing and carrier frequency synchronization algorithm is presented and the algorithm divides the OFDM symbol into several parts. It uses correlation and accumulation in several OFDM symbols to acquire estimation function. When the length of part is smaller than that of ISI free region , the algorithm can distinguish it. Then the estimation of optimal symbol timing and carrier frequency offset can be acquired .The computer simulation results show that the proposed algorithm not only can track time varying channel change but also has smaller MSE than that of ML estimation algorithm.)

Alternative good LDPC codes for DVB-S2(In our following paper, we find that the shortten codes of DVB-S2 have some problems,this program can provide a good DVB-S2 LDPC code without cascaded BCH codes. [1] Yang Xiao, Kiseon Kim, "Alternative good LDPC codes for DVB-S2", 9th International Conference on Signal Processing, 2008 (ICSP 2008), Beijing, 26-29 Oct. 2008, page(s): 1959-1962, ISBN: 978-1-4244-2178-7, INSPEC Accession Number: 10411270, Digital Object Identifier: 10.1109/ICOSP.2008.4697527, Current Version Published: 2008-12-08 The paper can be downloaded from Web site of IEEE Explore.)

用matlab编的计算传感器配置的有效独立法、模态置信因子的一些小程序(EI MAC)

this code is use to read ply file

主要基于Matlab平台开发的，特征提取仿真程序，主要用于生理信号的特征提取。(Mainly developed based on Matlab platform, feature extraction simulation program, mainly for physiological signal feature extraction.)

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.)

说明：  天牛须算法与pid控制算法结合，通过matlab实现，欢迎下载(Tianniu must algorithm and PID control algorithm, through MATLAB, welcome to download)

小波谱分析mallat算法经典程序,可直接运行(Mallat algorithm for spectral analysis of small classical procedures, can be directly run)