搜索资源列表
CEEMD
- matlab编写的程序，对EEMD 集合经验模态分解进行的改进，使得效果更好-Matlab prepared by the program, the EEMD set of empirical modal decomposition of the improvement, making the effect better
chazhifangfa
- 多种插值方法，可以用于改进EMD，EEMD等时频方法的插值。-A variety of interpolation methods can be used to improve EMD, EEMD and other time-frequency interpolation method.
EEMD1
- EEMD算法的例程，希望对大家的学习工作有所帮助吧。-EEMD algorithm routines, we want to learn to help it.
170531zipped_emd
- This an EMD/EEMD program，这是。一个刚刚做的EMD的matlab程序，实现了基本的模态分解算法，在实验条件下很有用。-This is an emd/eemd program this is. Just a EMD matlab program, the basic mode decomposition algorithm, in the experimental conditions very useful
FEEMD
- 快速经验模态分解程序包，能够实现时间序列数据的模态分解(The fast empirical mode decomposition package can realize the modal decomposition of time series data)
20170707ly_CEEMDAN_kyong
- 一个完整的EEMD自适应噪声 IEEE Int. Conf. on Acoust., Speech and Signal Proc. ICASSP-11, pp. 4144-4147, Prague (CZ)文章对应的matlab原始程序，验证可用 Example of the CEEMDAN performance, used in the work where CEEMDAN was first presented(Example of the CEEMDAN performance, us
EEMD
- 对原来的EMD进行了改进，使得对信号的分解更为完美，极大的抑制了端点效应和模态混叠现象。(The improvement of the original EMD makes the signal decomposition more perfect and greatly suppresses the endpoint effect and modal aliasing.)
emperical mode decompostion by matlab
- EMD经验模态算法程序，能够用到学到更好(by learning EEMD and writing daima)
56163048eemd
- 总体经验模式分解 信号处理方面的应用 经验模态分解的进化版(ensemble empirical mode decomposition)
emd
- 经验模态分解 是一种针对非线性、非平稳振动信号的处理方法(Empirical mode decomposition is an approach to nonlinear and non-stationary vibration signals)
programe2
- 经验模态分解 小波变换 经验小波等信号处理方法，亲测可用(Empirical mode decomposition, wavelet transform, empirical wavelet and other signal processing methods, pro test can be used)
eemd
- 提取信号特征及归一化处理，比emd明确度更高，可与emd做对比(Extracting signal features and normalization processing)
welch
- weltch窗函数滑动平均法，适合于初学信号处理的读者(Moving average of weltch window function.it is suitable for the readers who fistly learn the signal processing)
sam sha emd
- empirical mode decomposition
ceemdan
- CEEMDAN方法，用于解决EMD分解过程中的模态混叠问题，同常用的EEMD方法相比，其有效减少了迭代次数，增加了重构精度，更加适合非线性信号的分析。(CEEMDAN method is used to solve the modal aliasing problem in the EMD decomposition process. Compared with the commonly used EEMD method, it effectively reduces the number of
package_eemd
- eemd程序代码工具箱，可实现经验模态分解，得到IMF函数(EEMD program code toolbox)
FEEMD
- 压缩包内含有实现ＥＥＭＤ分解的代码和一个实际应用的例子，还有相关的pdf文献(Implementation of EEMD decomposition)
EEMDSVD
- 程序为经验模式分解的一种变化形式，可用于分解混合信号(As an improved form of the traditional EMD, the proposed procedure can serve as a tool to decompose a hybrid signal)
新建文件夹
- ceemdan，改进的eemd程序,里面有ceemdan的程序，也有心电数据，和一个应用程序。(Ceemdan, an improved EEMD program)
National Taiwan Central University
- 利用EEMD进行希尔伯特黄变换的程序及说明，附算例(The procedure and explanation of Hilbert yellow transform using EEMD, an example)