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FastEMD-1.1
- The code efficiently computes the Earth Mover s Distance (EMD) between two histograms or sparse histograms (signatures). The EMD is also known as Mallows, 1st Wasserstein, Monge-Kantorovich, Match and Transporatation distances. The approach was descr
EMD
- EMD的边际谱的算例，很实用，做这一块的快下-EMD example the marginal spectrum, it is practical to do this under a piece of the fast
FastEMD-2
- 快速EMD分解，用了相关距离来解决问题，让算法的运行速度加快-EMD FAST
An-improved-Hilbert-Huang-method-for-analysis-of-
- The Hilbert–Huang method is presented with modifications, for time-frequency analysis of distorted power quality signals. The empirical mode decomposition (EMD) is enhanced with masking signals based on fast Fourier transform (FFT), for separat
FastEMD-3
- 在度量两个矩阵时，快速的度量函数能有效地提高检索效率，在此采用EMD度量函数-In the measure two matrix, fast measurement function can effectively improve the retrieval efficiency, in this the EMD measure function
emd
- 简单、快捷，处理有关emd的分解，适合于初学者分解emd-Simple, fast, handle the emd decomposition, suitable for beginners emd decomposition
[HHT]-fast-EMDEEMDCEEMD-with-ref
- 本压缩文件包含HHT-EMD(希尔伯特黄转换－经验模态分解)发明人黄锷院士领衔之台湾中央大学数据分析方法研究中心推广的标准EMD/EEMD/CEEMD分析工具，由该中心资深研究员Yung-Hung Wang王老师于2013年撰写，包含了原始EMD及近年来EMD的最新算法，最为权威、快速、精确、易用。 本人目前在该中心访学，对原文档进行了两处更动：1、加入程式注释中提到的5篇参考文献，以方便使用者随时参考，深入理解算法的意义；2、将eemd.m第111行代码getDefaultStream改为
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- 模式识别中的bayes判别分析算法，虚拟力的无线传感网络覆盖，针对EMD方法的不足,gmcalab 快速广义的形态分量分析，在matlab R2009b调试通过，包含位置式PID算法、积分分离式PID，用于信号特征提取、信号消噪，车牌识别定位程序的部分功能。- Pattern Recognition bayes discriminant analysis algorithm, Virtual power wireless sensor network coverage, For lack of
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- 可以广泛的应用于数据预测及数据分析,是机器学习的例程，针对EMD方法的不足,双向PCS控制仿真，主要为数据分析和统计，gmcalab 快速广义的形态分量分析，添加噪声处理，匹配追踪和正交匹配追踪。- Can be widely used in data analysis and forecast data, Machine learning routines, For lack of EMD, Two-way PCS control simulation, Mainly for data ana
ufujhvge
- 针对EMD方法的不足,从先验概率中采样，计算权重，验证可用，多抽样率信号处理，gmcalab 快速广义的形态分量分析，毕业设计有用，详细画出了时域和频域的相关图。- For lack of EMD, Sampling a priori probability, calculate the weight, Verification is available, Multirate signal processing, gmcalab fast generalized form component
sunbing
- 针对EMD方法的不足,研究生时的现代信号处理的作业，gmcalab 快速广义的形态分量分析。- For lack of EMD, Modern signal processing jobs when the graduate, gmcalab fast generalized form component analysis.
EMD
- EMD分解的最新代码，算法效率高，能够解决信号处理中的一系列问题(This is a new EMD code,which is good at security and is very fast.)
VMD
- VMD方法是在传统维纳滤波的基础上，提出的一种非递归自适应信号分解新方法。与EMD方法和LMD方法相比，VMD方法分解的信号，具有精度高、收敛快和鲁棒性好等特点，适用于处理滚动轴承故障信号。(The VMD method is a new non recursive adaptive signal decomposition method based on traditional Wiener filtering. Compared with the EMD method and the LMD