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xiaobobao
一个PDF文件,基于小波包的图像压缩处理,并附几个相关小程序(Image compression based on wavelet packet processing, along with several related applets)
- 2010-08-26 16:24:40下载
- 积分:1
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PV
说明: 本人毕业设计所做的光伏并网系统模型和参考资料(I graduated from design of PV grid system model and reference materials)
- 2012-06-08 16:11:35下载
- 积分:1
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SalmaElAimani
modeling and simulation of differents technology of wind energy
- 2014-11-08 01:02:54下载
- 积分:1
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computation
解决储罐内的二维扩散对流问题,可用在多孔介质中的运算,能够很好的解决问题(Solve the problem of one dimensional convection diffusion)
- 2014-12-08 10:09:34下载
- 积分:1
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powerlaws_full_v0.0.9-2010-01-24
幂律分布的matlab工具箱,幂律的检验和数据序列的绘图。非常好用(Matlab Tool of Pow law distribution, determination and plot)
- 2012-01-03 22:02:46下载
- 积分:1
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ray_chan_two
这是一个频率选择性瑞利衰落信道的模型,程序建模为两径。(This is a frequency-selective Rayleigh fading channel model, the program is modeled as two tracks.)
- 2021-04-05 21:09:03下载
- 积分:1
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matlab1
matlab 学习资料 第一部分 MATLAB语言基础 (matlab the first part of learning materials based on MATLAB language)
- 2009-05-23 12:38:30下载
- 积分:1
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mult_comp_perm_t1
使用matlab实现p-value的算法
具体的函数实现。可用来处理统计推断等有关问题。(Specific algorithm matlab achieve p-value function. It can be used to deal with issues related statistical inference.)
- 2013-03-09 13:25:48下载
- 积分:1
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msk_modulator_2008_06_22
MSK 调制仿真程序,用于数据调制的MATLAB仿真(MSK modulator simulation)
- 2013-04-28 21:52:02下载
- 积分:1
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SRGTSToolbox
说明: SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能:
实验设计:中心复合设计,全因子设计,拉丁超立方体设计,D-optimal和maxmin设计。
代理:克里金法,多项式响应面,径向基神经网络和支持向量回归。
错误和交叉验证的分析:留一法和k折交叉验证,以及经典的错误分析(确定系数,标准误差;均方根误差等;)。
基于代理的优化:高效的全局优化(EGO)算法。
其他能力:通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities:
Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs.
Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression.
Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others).
Surrogate-based optimization: efficient global optimization (EGO) algorithm.
Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)
- 2020-04-20 22:30:13下载
- 积分:1