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MFC
Gauss and Rayleigh_simulation_matlab.
- 2010-11-21 17:19:04下载
- 积分：1
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FEM1
设有一长直矩形(a*2a)接地金属槽，上盖板对地绝缘ф1=10，侧壁，底ф2=0，求槽内的电位分布。用有限单元法求解。(Grounded metal tank with a long straight rectangular (a* 2a), on the cover insulation ф1 = 10, sidewalls, the bottom ф2 = 0, seeking a slot of the potential distribution. Using the finite element method to solve.
)
- 2012-05-06 10:29:00下载
- 积分：1
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numerical-methods
本书系统地介绍了常见数学问题的各种数值解法及其内在的逻辑联系，并用MATLAB作为算法实现工具，为快速掌握理论打下坚实的基础。本书共分10章，主要内容包括MATLAB概论、MATLAB基础知识、MATLAB数据的图形表示、插值法和数据拟合、数值积分、常微分方程初值问题数值解法、非线性方程求解、求解线性代数方程组和计算矩阵特征值的迭代法、线性方程组的数值解法，以及MATLAB在数值计算中的综合应用。
(This book systematically introduces a variety of numerical solution and its inherent logic of common mathematical problems Contact algorithm using MATLAB as a tool to lay a solid foundation to quickly grasp the theory. )
- 2013-04-17 14:12:00下载
- 积分：1
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Digital_watermarking_wavelet_transform_source_code
简单的小波变换实现数字水印的源代码此为MATLAB 版本 希望对你有帮助(Digital watermarking wavelet transform source code
)
- 2010-11-10 17:08:49下载
- 积分：1
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Simson
metodo de simsomt by davo
- 2010-11-30 06:01:57下载
- 积分：1
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without_loss_input
economic dispatch method with losses
- 2014-12-10 06:18:13下载
- 积分：1
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optim
matlab最优化工具箱 (Matlab Toolbox Matlab Optimization Optimization Toolbox)
- 2006-05-28 10:13:54下载
- 积分：1
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VFIT3
矢量匹配算法，关于曲线理和的问题，能克服有理匹配的相关缺陷(vectfiting )
- 2021-03-14 11:59:23下载
- 积分：1
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cvx-13.04.03
stanford大学开发用于解优化问题的系统模型，可用于解压缩感知恢复算法：BP、DS等(the system modeldeveloped by stanford University is used for the solution of optimization problems, such as compressive sensing recovery algorithm: BP, DS)
- 2013-04-03 14:07:19下载
- 积分：1
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Body-Area-Networks
一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的
在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。
(A new approach to compare models for body area
networks (BAN) that accommodates multiple links and multiple
subjects is presented. The absolute measure described allows
comparison across a spectrum of possible characterizations
ranging from single-parameter for an entire ensemble, through
to per-activity, per-subject and per-link based parameterized
models. The use of an explicit trade-off between error and
complexity, combined in a goodness-of-fit measure, is shown
to have important consequences when applied to a range of
typical BAN channel data. It is shown that there are different
implications in choice of model, and it’s associated complexity, for
mixed-activity “everyday” data, when compared with set-activity
dynamic data (e.g. walking). The deficiency of mean path loss,
or even median path loss measures, as a sole characterization of
the BAN channel is also highlighted.)
- 2011-12-01 21:21:32下载
- 积分：1
