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matlab_hmm
hmm toolbox for image processing
- 2010-06-24 04:22:55下载
- 积分:1
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m_seq1
选择13级移位寄存器的初始数据,用移位加反馈的方法生成级数为3~13的m序列(The selection of the initial data of 13 level shift register, series is generated by shift plus feedback method for 3 ~ 13 m sequence
)
- 2013-10-10 00:11:36下载
- 积分:1
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jzzh
基于yalmip的机组组合优化程序(包含风电机组),以经济为目标函数来预测发电机出力情况。(Based yalmip crew combinatorial optimization program (including wind turbines), the economy as the objective function to predict the output of the generator case.)
- 2021-03-09 17:29:27下载
- 积分:1
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work
fft_cos_sin系数生成表,测试用,由他人提供的()
- 2007-08-29 17:47:01下载
- 积分:1
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wsndata
一些无线传感器方面的文章,希望有所帮助。(Some wireless sensors article, I hope help.)
- 2010-08-05 21:06:16下载
- 积分:1
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RBFlw7
这是matlabdaima,用来计算RBF输出值很有效(This is matlabdaima, used to calculate the RBF output is valid)
- 2010-09-13 15:51:33下载
- 积分:1
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MATLAB-learning
matlab的学习资料,有PPT,还有这方面讲座的PDF以及进一步提高的学习资料。(matlab learning files.)
- 2014-10-19 21:11:33下载
- 积分:1
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RRR-RRP-simulation
机构RRR-RRP仿真,里面有仿真模型,M文件(Institutions RRR-RRP simulation, inside the simulation model file)
- 2013-04-16 20:46:44下载
- 积分:1
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image-fusion-pos
image fusion using particle of swarm optimastion
- 2013-09-29 15:46:10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