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MATLAB_programming_language_environment_analysis_t
MATLAB编程语言环境分析教程MATLAB programming language environment analysis tutorial(Programming language environment of MATLAB Tutorial MATLAB programming language environment analysis tutorial)
- 2010-08-03 10:08:46下载
- 积分:1
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matds
matlbs file for lyapanof
- 2010-08-10 07:24:18下载
- 积分:1
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filter-dip
Digital image filter
- 2010-11-08 11:55:34下载
- 积分:1
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matlab-Data-fitting
利用matlab进行数据拟合,有现成代码和案例数据。(Use of matlab for data fitting, have a ready-made code and case data.
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- 2012-04-12 16:23:29下载
- 积分:1
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toolbox
本程序实现mimo无线通信的仿真程序,是通信工程用matlab实现mimo仿真的的必备程序。(This program implements mimo wireless communications simulation program, communications engineering simulation using matlab mimo essential procedures.)
- 2013-07-12 20:32:44下载
- 积分:1
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Introduction-to-Probability-
Introduction to Probability Models的参考答案,很详细的哦(Introduction to Probability Models of the reference to the answer, oh great detail)
- 2011-10-25 10:16:02下载
- 积分:1
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vibration3DDL.m
MATLAB SourceCode for Vibration analysis with 3DOF !
- 2013-11-25 22:50:46下载
- 积分:1
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ITCAsgnt
matlab环境下高斯信道中采用BPSK调制的误码率仿真。(Matlab environment Gaussian channel BPSK modulation BER simulation)
- 2013-05-10 13:47:27下载
- 积分:1
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MUMIMO_BD
多用户MIMO中的块对角化,主要用来消除用户间的干扰(Block Diagonalization for Multi-User MIMO)
- 2015-04-01 09:41:52下载
- 积分:1
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MultiScaleEntropy
说明: 实现多尺度熵的算法
多尺度熵(Multiscale entropy, MSE)将样本熵扩展到多个时间尺度,以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性,Costa等人(2002,2005)提出了多尺度熵。(MultiScale Entropy
There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)
- 2021-04-02 17:19:07下载
- 积分:1