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bpmpdmex2.21.1d_w32
说明： 优化软件包，MATLAB，应用于YALMIP(Optimization software package, MATLAB, used YALMIP)
- 2011-03-23 14:43:01下载
- 积分：1
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BayesThresh2
matlab 贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序，希望对大家有帮助，仅供大家参考，希望有用(Matlab Bias and the general threshold soft threshold image denoising method MATLAB program, hope to help everyone, for your reference only, hope to be useful.)
- 2018-03-25 17:01:55下载
- 积分：1
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SaDE
基于文献“2009 Differential evolution algorithm with strategy adaptation for global numerical optimization”，使用Matlab 7.0实现的算法( 2009 Differential evolution algorithm with documentary strategy adaptation for global numerical optimization based on the implementation of the algorithm, using Matlab 7)
- 2014-09-19 09:42:01下载
- 积分：1
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MATLAB-toantap
matlab toan tap wellcome
- 2011-09-06 10:22:15下载
- 积分：1
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eyefinder
定位眼神的程序，有mATLAbC++多种版本可供使用(Positioning the eyes of the program, mATLAb C++ multiple versions available)
- 2012-07-16 14:39:03下载
- 积分：1
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OFDM
包括四个.m文件，采用16QAM调制，添加循环前缀与后缀，加窗处理，防震性能很好。(Including four. M files using 16QAM modulation, add cyclic prefix and suffix, window treatment.)
- 2013-11-04 13:58:07下载
- 积分：1
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cebuzhunyuanlishiyan
此程序为测试窗函数宽度对时－频分辨率的影响，即测不准原理，对时间分辨率和频率分辨率只能取一个折中，一个提高了，另一个就必然要降低，反之亦然。(This procedure for the test window function width on- frequency resolution, that is, the uncertainty principle, the time resolution and frequency resolution can only take a compromise, an elevated, and the other is bound to reduce, and vice versa .)
- 2013-04-30 16:36:04下载
- 积分：1
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05978173
Phase-Based UHF RFID Tracking With Nonlinear
Kalman Filtering and Smoothing
- 2014-10-13 02:33:35下载
- 积分：1
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fcboost
fuel cell and battery
- 2012-01-18 13:42:27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
