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3
说明： 第三章 MATLAB 图形对象
3.1 图形对象
3.1.1 Root 对象
3.1.2 Figure 对象
3.1.3 Uicontrol 对象
3.1.4 Uimenu 对象
3.1.5 Axes 对象
3.1.6 Image 对象
3.1.7 Line 对象
3.1.8 Patch 对象
3.1.9 Rectangle 对象
3.1.10 Surface 对象
3.1.11 Light 对象
3.1.12 Text 对象 (Chapter III of MATLAB graphic objects 3.1 graphic object 3.1.1 Root object 3.1.2 Figure object 3.1.3 Uicontrol object 3.1.4 Uimenu object 3.1.5 Axes Object 3.1.6 Image Object 3.1.7 Line object 3.1.8 Patch Object 3.1. 9 Rectangle object 3.1.10 Surface Object 3.1.11 Light Object 3.1.12 Text Object)
- 2007-08-07 18:09:10下载
- 积分：1
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G729coder
g729 coder in vocoder
- 2010-10-08 00:21:28下载
- 积分：1
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Matlab-FunctionsModified
matlab functions matlab functions matlab functions
- 2010-12-21 15:47:36下载
- 积分：1
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tarin-chirp_ambg
脉冲串和Chirp信号的匹配滤波及模糊函数Matlab源码(Matlab Codes Of Matched Filtering and Ambiguity Function On Train Pulse and Chirp Signal)
- 2011-12-19 16:19:32下载
- 积分：1
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myadder
matlab计算器 简单加法，初学者很好的入门源码，功能简单，很精巧……(it s a simple matlab program.)
- 2011-05-27 23:20:57下载
- 积分：1
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code
此程序以美国黄石国家公园为例，构造尽可能贴近实际的仿真环境，从而通过仿真得到野火发生频率与野火规模之间的数学模型。这是一个经典的幂率模型，稍作改造好即可模拟“28原则”、“网站点击率”等幂率相关问题。(This procedure to Yellowstone National Park as an example, the actual construction simulation environment as close as possible to the simulated wildfire through the frequency and size of wildfires between the mathematical model. This is a classic power law model, slightly modified to better simulate " 28 principles" , " web site click-through rate" and other power-law related issues.)
- 2011-01-12 18:40:19下载
- 积分：1
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Kmeans
该算法是实现Kmean聚类算法。包含初始聚类中心，聚类成员列表，最终聚类中心，最终聚类中心的距离，方差分析表，每个聚类中的案例数。(The algorithm is a clustering algorithm to achieve Kmean. Contains the initial cluster centers, cluster membership list, the final cluster centers the final cluster centers, ANOVA table, the number of cases in each cluster.)
- 2015-03-19 10:25:35下载
- 积分：1
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Midacomo
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.)
- 2016-02-27 15:27:00下载
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3SA
说明： 利用模拟退火算法和Metropolis准则解决TSP问题(Using simulated annealing algorithm and Metropolis criterion to solve TSP problem)
- 2020-04-23 11:11:28下载
- 积分：1
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ofdmmatlab5
在matlab环境下对ofdm进行仿真的程序(In matlab ofdm simulation under the environment of the procedure)
- 2010-06-14 21:41:59下载
- 积分：1
