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libeemd

于 2020-10-24 发布 文件大小:421KB
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代码说明:

  带有Python界面的EMDEEMDCEEMDAN的程序,做信号处理。(libeemd is a C library for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD). It includes a Python interface called pyeemd. The details of what libeemd actually computes are available as a separate article, which you should read if you are unsure about what EMD, EEMD and CEEMDAN are.)

文件列表:

libeemd
.......\Introducing libeemd_a program package for performing the ensemble empirical mode decomposition.pdf,585894,2015-07-23
.......\luukko-libeemd-303d8c99437a
.......\...........................\.gitignore,56,2015-02-03
.......\...........................\htm" target=_blank>ChangeLog,489,2015-02-03
.......\...........................\htm" target=_blank>COPYING,35147,2015-02-03
.......\...........................\examples
.......\...........................\........\.gitignore,72,2015-02-03
.......\...........................\........\ceemdan_example.c,1944,2015-02-03
.......\...........................\........\ceemdan_example_plot.py,1005,2015-02-03
.......\...........................\........\eemd_example.c,2078,2015-02-03
.......\...........................\........\eemd_example_plot.py,1002,2015-02-03
.......\...........................\........\Makefile,453,2015-02-03
.......\...........................\........\htm" target=_blank>README,264,2015-02-03
.......\...........................\Makefile,1291,2015-02-03
.......\...........................\pyeemd
.......\...........................\......\.gitignore,13,2015-02-03
.......\...........................\......\doc
.......\...........................\......\...\.gitignore,44,2015-02-03
.......\...........................\......\...\conf.py,8866,2015-02-03
.......\...........................\......\...\images


.......\...........................\......\...\index.rst,450,2015-02-03
.......\...........................\......\...\install.rst,846,2015-02-03
.......\...........................\......\...\pyeemd.rst,505,2015-02-03
.......\...........................\......\...\rtd-pip-requirements.txt,19,2015-02-03
.......\...........................\......\...\tutorial.rst,3107,2015-02-03
.......\...........................\......\examples
.......\...........................\......\........\ceemdan_ecg_example.py,1391,2015-02-03
.......\...........................\......\........\ecg.csv,5044,2015-02-03
.......\...........................\......\........\eemd_example.py,1569,2015-02-03
.......\...........................\......\MANIFEST.in,0,2015-02-03
.......\...........................\......\pyeemd
.......\...........................\......\......\libeemd.so,16,2015-02-03
.......\...........................\......\......\pyeemd.py,16448,2015-02-03
.......\...........................\......\......\tests
.......\...........................\......\......\.....\.gitignore,17,2015-02-03
.......\...........................\......\......\.....\test_ceemdan.py,3741,2015-02-03
.......\...........................\......\......\.....\test_eemd.py,3309,2015-02-03
.......\...........................\......\......\.....\test_emd.py,2634,2015-02-03
.......\...........................\......\......\.....\test_emd_compare_to_reference.py,8843,2015-02-03
.......\...........................\......\......\.....\test_emd_find_extrema.py,3137,2015-02-03
.......\...........................\......\......\.....\test_emd_num_imfs.py,1211,2015-02-03
.......\...........................\......\......\.....\test_emd_splines.py,1632,2015-02-03
.......\...........................\......\......\.....\__init__.py,0,2015-02-03
.......\...........................\......\......\utils.py,2105,2015-02-03
.......\...........................\......\......\__init__.py,850,2015-02-03
.......\...........................\......\README.md,239,2015-02-03
.......\...........................\......\run_tests.py,737,2015-02-03
.......\...........................\......\setup.py,2432,2015-02-03
.......\...........................\README.md,3571,2015-02-03
.......\...........................\src
.......\...........................\...\eemd.c,30026,2015-02-03
.......\...........................\...\eemd.h,5533,2015-02-03
.......\...........................\TODO,0,2015-02-03

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  • Expectation-Maximization
    混合高斯分布中基于最大期望算法的参数估计模型,适应于通信与信号处理以及统计学领域(Mixed Gaussian distribution algorithm based on the parameters of the greatest expectations of the estimated model, adapted to communications and signal processing, as well as the field of statistics)
    2009-07-11 09:26:58下载
    积分:1
  • MLRMATLAB
    说明:  多元线性回归:MATLAB源程序多元线性回归(Multiple Linear Regression : MATLAB source multivariate linear regression)
    2021-03-28 15:49:11下载
    积分:1
  • fpxivphr
    GSM中GMSK调制信号的产生,仿真效率很高的,采用了小波去噪的思想,模拟数据分析处理的过程,研究生时的现代信号处理的作业,真的是一个好程序。( GSM is GMSK modulation signal generation, High simulation efficiency, Using wavelet denoising thought, Analog data analysis processing, Modern signal processing jobs when the graduate, Really is a good program.)
    2016-04-10 15:28:17下载
    积分:1
  • jos
    he value of tag could be set to any integer between 1 and 14 which correspods to the trial number of subject
    2013-08-22 15:14:00下载
    积分:1
  • myLee
    good for understanding
    2011-10-19 13:47:14下载
    积分:1
  • SOM
    calssification algorithm
    2014-11-26 22:31:10下载
    积分:1
  • CS_different_polit
    低压电力线载波通信的OFDM系统仿真,采用了压缩感知的方法进行信道估计,分别选取不同导频数目与LS算法比较,仿真效果良好。(OFDM power line carrier communication system simulation, using the compressed sensing method for channel estimation, respectively, to select a different number of pilot and LS algorithm, the simulation results is good.)
    2014-07-08 11:50:22下载
    积分:1
  • MATLAB_HOG
    hog特征提取,应用matlab但是没有opencv简便,仅供参考。(hog feature extraction, application matlab but no easy opencv, for reference purposes only.)
    2014-08-25 15:25:04下载
    积分:1
  • EQU-MATLAB
    偏微分方程的MATLAB解法--陆君安.尚涛.谢进.谷平--武汉大学出版社--2001.8.pdf.pdf(MATLAB solution of partial differential equations- Jun-An Lu. SHANG Tao. Xie Jin. Gu Ping- Wuhan University Press- 2001.8.pdf.pdf)
    2011-10-09 22:46:37下载
    积分:1
  • Rproject
    THIS IS CODE FOR FUZZY FUNCTION
    2013-03-17 12:57:16下载
    积分:1
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