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signal-process-with-matlab
signal process with matlab signal process with matlab
- 2011-09-23 16:23:41下载
- 积分：1
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Codes
Through neural networks, ant colony algorithm, genetic algorithm, such as intelligent optimization methods to solve TSP problems
- 2011-10-19 01:05:57下载
- 积分：1
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HMM0
基于贝叶斯工具箱BNT的隐马尔科夫简单模型，比较适合新手的学习(More suitable for novice learning a simple model based on the the Bayesian toolbox BNT hidden Markov)
- 2013-04-08 10:58:27下载
- 积分：1
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kmeans_22
k-means示例，用以聚类,里面包含一个特征提取函数，读者可以自行修改(the example of k-means,it will be used clustered.)
- 2015-03-24 15:27:20下载
- 积分：1
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matlab6[1].5imageprocess
本书基于matlab6.5的图象处理工具v3.2编写，全面系统地介绍图象处理工具v3.2函数在图象处理个方面的实际应用。(This book-based image processing tools matlab6.5 prepared v3.2, a comprehensive and systematic introduction to image processing tools v3.2 image processing function in the practical application of aspects.)
- 2007-08-01 18:22:10下载
- 积分：1
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suijishu
输入骰子个数和投掷的次数，程序将计算出一次投掷的点数和的概率分布(Enter the number of dice and throwing the number, the program will calculate the time throwing the probability distribution of points and)
- 2010-01-07 08:31:00下载
- 积分：1
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ma=1.1
标准AM振幅调制方式，ma=1.1时的标准AM振幅调制(Standard AM amplitude modulation, ma = 1.1 when the standard AM amplitude modulation)
- 2013-07-21 13:48:42下载
- 积分：1
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EasyMod
EasyMod is a MatLab/Scilab toolbox for teaching modal analysis. It provides a set of functions allowing to establish the identification of modal parameters and these validation. Nowadays, circle-fit, line-fit and least square complex exponential methods are implemented. In addition, some relevant functions are offered in order to complete a modal analysis: operations on the frequency response function (FRF) , generation of FRF from mass, damping and stiffness matrices, MAC (modal assurance criterion) and modal collinearity
- 2013-08-26 15:46:06下载
- 积分：1
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Matlab-and-numerical-analysis
这里是matlab与数值分析的学习资料，对于初学者非常有用。(Here is the matlab and numerical analysis of learning materials, is very useful for beginners.
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- 2012-03-22 11:16:04下载
- 积分：1
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蒙特卡罗算法与matlab(精品教程)
蒙特卡洛算法也常用于机器学习，特别是强化学习的算法中。一般情况下，针对得到的样本数据集建立相对模糊的模型，通过蒙特卡洛方法对于模型中的参数进行选取，使之于原始数据的残差尽可能的小。从而达到建立模型拟合样本的目的。(Monte Carlo algorithm is also commonly used in machine learning, especially in reinforcement learning algorithm. In general, a relatively fuzzy model is established for the obtained sample data set, and the parameters in the model are selected by Monte Carlo method so that the residual error of the original data is as small as possible. Thus, the purpose of establishing the model fitting sample is achieved.)
- 2018-05-01 21:21:21下载
- 积分：1
