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libeemd

于 2020-10-24 发布 文件大小:421KB
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下载积分: 1 下载次数: 62

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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  • somtraining
    SOM training algorithm
    2011-02-08 19:10:20下载
    积分:1
  • wave2111
    一个关于JEPG2000的MATLAB 源码,功能基本上可以实现 ,但也有一定的不足,希望大侠多多指教(one of the correctness of MATLAB source, the basic function can be achieved. But there are certain deficiencies, the exhibitions hope Shanhaiguan)
    2007-03-10 22:50:43下载
    积分:1
  • mintreek
    说明:  最小生成树的Matlab程序,经典,可在6.5版图与路线(Minimum spanning tree of Matlab procedures, classic, and the route map in 6.5)
    2010-05-01 14:35:06下载
    积分:1
  • modeling
    mokhlesam va kheyli chakeram mehdipoor hastam
    2013-01-26 14:35:30下载
    积分:1
  • crc-daima
    说明:  超好的crc编码 与解码 在matlab中实现(Super good crc encoding and decoding is implemented in matlab)
    2011-04-12 11:35:04下载
    积分:1
  • fiber-EH11-mode
    利用matlab模拟光纤中EH11模的模式分布图。(Using matlab simulation mode fiber EH11 mode maps.)
    2020-07-03 17:00:01下载
    积分:1
  • work
    在matlab上实现的遗传算法,采用二进制解码。很适合想用matlab实现自己的遗传算法的初学者,颇有参考价值(Genetic algorithm in matlab, using binary decoding. Very suitable for the genetic algorithm using matlab for beginners, are well worth)
    2012-06-03 10:06:53下载
    积分:1
  • ssaaxa
    this source code is sdsasa matlab
    2013-08-04 18:05:16下载
    积分:1
  • 2-D-FDTD-TE-code-with-PML
    一个二维的fdtdc++编写的程序,较完整,带有pml边界条件。感兴趣的可以下载看看。(A two-dimensional fdtdc++ preparation procedures, more complete, with pml boundary conditions. Interested can download to see.)
    2014-02-24 22:14:52下载
    积分:1
  • kiejeng
    GSM中GMSK调制信号的产生,一个很有用的程序,包括最后计算压缩图像的峰值信噪比和压缩效果的源码。( GSM is GMSK modulation signal generation, A very useful program, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.)
    2016-05-24 18:13:29下载
    积分:1
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