层次分析matlab代码-koma:Knut的适用于Python和MATLAB的操作模态分析工具箱
层次分析matlab代码
小马
KOMA是用于操作模态分析的软件包，具有Python和MATLAB语言提供的核心功能。
有关协方差驱动的随机子空间识别算法的实现的更多详细信息，请参阅[1]。
Data-SSI和FDD在KOMA的MATLAB版本中实现。
有关自动OMA和聚类分析的信息，请参阅[2]。
引用论文发表后，将添加更多信息和功能。
有关更多详细信息，请参阅。
安装及使用
Python
可以将存储库下载到您的计算机上并进行安装，例如通过pip进行安装
pip
install
.
或直接从python软件包索引安装。
pip
install
git+https://www.github.com/knutankv/koma.git@master
此后，导入软件包模块，以oma´模块为例，如下所示：
import
koma
.
oma
的MATLAB
下载或克隆存储库。
包含软件包根目录的文件夹必须位于MATLAB路径中：
addpath(
'
C:/Users/knutankv/git-repos/koma/
'
);
理想情况下，此操作应永久完成，以便始终可以访问。
然后，可以使用
文件下载
资源详情
[{"title":"（ 72 个子文件 5.11MB ） 层次分析matlab代码-koma:Knut的适用于Python和MATLAB的操作模态分析工具箱","children":[{"title":"koma-master","children":[{"title":"README.rst <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"koma-logo.svg <span style='color:#111;'> 10.49KB </span>","children":null,"spread":false},{"title":"koma","children":[{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"oma.py <span style='color:#111;'> 16.96KB </span>","children":null,"spread":false},{"title":"modal.py <span style='color:#111;'> 6.75KB </span>","children":null,"spread":false},{"title":"_aoma.py <span style='color:#111;'> 2.10KB </span>","children":null,"spread":false},{"title":"plot.py <span style='color:#111;'> 8.58KB </span>","children":null,"spread":false},{"title":"clustering.py <span style='color:#111;'> 12.44KB </span>","children":null,"spread":false}],"spread":true},{"title":"koma-logo.png <span style='color:#111;'> 36.36KB </span>","children":null,"spread":false},{"title":"+koma","children":[{"title":"+modal","children":[{"title":"xmacmat.m <span style='color:#111;'> 857B </span>","children":null,"spread":false},{"title":"pick_stable_modes.m <span style='color:#111;'> 6.90KB </span>","children":null,"spread":false},{"title":"find_stable_poles.m <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false},{"title":"mpc.m <span style='color:#111;'> 436B </span>","children":null,"spread":false},{"title":"resasref.m <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"cpsd_from_fdd_result.m <span style='color:#111;'> 212B </span>","children":null,"spread":false},{"title":"frf_estimator.m <span style='color:#111;'> 550B </span>","children":null,"spread":false},{"title":"sort_fdd.m <span style='color:#111;'> 958B </span>","children":null,"spread":false},{"title":"dynamic_amplification.m <span style='color:#111;'> 250B </span>","children":null,"spread":false},{"title":"unique_modes.m <span style='color:#111;'> 262B </span>","children":null,"spread":false}],"spread":true},{"title":"+oma","children":[{"title":"private","children":[{"title":"autocorr_lag.m <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"gaxpy_chol.m <span style='color:#111;'> 526B </span>","children":null,"spread":false}],"spread":true},{"title":"fdd.m <span style='color:#111;'> 521B </span>","children":null,"spread":false},{"title":"ddssi.m <span style='color:#111;'> 6.17KB </span>","children":null,"spread":false},{"title":"covssi.m <span style='color:#111;'> 7.59KB </span>","children":null,"spread":false},{"title":"sort_fdd.m <span style='color:#111;'> 334B </span>","children":null,"spread":false}],"spread":true},{"title":"+spectral","children":[{"title":"cpsd_matrix.m <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"smooth_3d.m <span style='color:#111;'> 158B </span>","children":null,"spread":false}],"spread":true},{"title":"+thirdparty","children":[{"title":"herrorbar.m <span style='color:#111;'> 3.70KB </span>","children":null,"spread":false}],"spread":true},{"title":"maxreal.m <span style='color:#111;'> 412B </span>","children":null,"spread":false},{"title":"+vis","children":[{"title":"stabplot.m <span style='color:#111;'> 8.57KB </span>","children":null,"spread":false},{"title":"private","children":[{"title":"getCam.m <span style='color:#111;'> 1.99KB </span>","children":null,"spread":false}],"spread":true},{"title":"animate_mode.m <span style='color:#111;'> 3.34KB </span>","children":null,"spread":false},{"title":"plot_mode.m <span style='color:#111;'> 12.64KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"examples","children":[{"title":"matlab","children":[{"title":"geometry","children":[{"title":"slave.asc <span style='color:#111;'> 88B </span>","children":null,"spread":false},{"title":"elements.asc <span style='color:#111;'> 45B </span>","children":null,"spread":false},{"title":"flat_cam.mat <span style='color:#111;'> 416B </span>","children":null,"spread":false},{"title":"grid.asc <span style='color:#111;'> 84B </span>","children":null,"spread":false}],"spread":true},{"title":"response_data.csv <span style='color:#111;'> 460.20KB </span>","children":null,"spread":false},{"title":"covssi_example.m <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false}],"spread":true},{"title":"python","children":[{"title":".ipynb_checkpoints","children":[{"title":"shear_frame-checkpoint.ipynb <span style='color:#111;'> 3.57MB </span>","children":null,"spread":false}],"spread":true},{"title":"shear_frame.ipynb <span style='color:#111;'> 3.57MB </span>","children":null,"spread":false},{"title":"shear_frame_simulation.csv <span style='color:#111;'> 460.20KB </span>","children":null,"spread":false},{"title":"stabplot_interactive.png <span style='color:#111;'> 49.43KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"setup.py <span style='color:#111;'> 807B </span>","children":null,"spread":false},{"title":"docs","children":[{"title":"source","children":[{"title":".ipynb_checkpoints","children":[{"title":"shear_frame-checkpoint.ipynb <span style='color:#111;'> 3.41MB </span>","children":null,"spread":false}],"spread":true},{"title":"shear_frame.ipynb <span style='color:#111;'> 3.57MB </span>","children":null,"spread":false},{"title":"matlab_example_stab.png <span style='color:#111;'> 20.10KB </span>","children":null,"spread":false},{"title":"koma-logo.svg <span style='color:#111;'> 10.49KB </span>","children":null,"spread":false},{"title":"acknowledgements.rst <span style='color:#111;'> 230B </span>","children":null,"spread":false},{"title":"matlab_shear_frame.rst <span style='color:#111;'> 3.07KB </span>","children":null,"spread":false},{"title":"matlab_example_psd.png <span style='color:#111;'> 20.16KB </span>","children":null,"spread":false},{"title":"response_data.csv <span style='color:#111;'> 460.20KB </span>","children":null,"spread":false},{"title":"conf.py <span style='color:#111;'> 2.61KB </span>","children":null,"spread":false},{"title":"matlab_stabplot.jpg <span style='color:#111;'> 63.97KB </span>","children":null,"spread":false},{"title":"installation.rst <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"code_matlab.rst <span style='color:#111;'> 419B </span>","children":null,"spread":false},{"title":"references.rst <span style='color:#111;'> 130B </span>","children":null,"spread":false},{"title":"ref.bib <span style='color:#111;'> 8.53KB </span>","children":null,"spread":false},{"title":"index.rst <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"examples.rst <span style='color:#111;'> 218B </span>","children":null,"spread":false},{"title":"licensing.rst <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"logo.png <span style='color:#111;'> 33.40KB </span>","children":null,"spread":false},{"title":"shear_frame_simulation.csv <span style='color:#111;'> 460.20KB </span>","children":null,"spread":false},{"title":"matlab_example_noise.png <span style='color:#111;'> 64.34KB </span>","children":null,"spread":false},{"title":"code_python.rst <span style='color:#111;'> 270B </span>","children":null,"spread":false},{"title":"stabplot_interactive.png <span style='color:#111;'> 49.43KB </span>","children":null,"spread":false},{"title":"matlab_example_response.png <span style='color:#111;'> 37.41KB </span>","children":null,"spread":false}],"spread":false},{"title":"requirements.txt <span style='color:#111;'> 90B </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 638B </span>","children":null,"spread":false}],"spread":true},{"title":".readthedocs.yml <span style='color:#111;'> 576B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 67B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]
评论信息
其他资源
- C++ GUI Qt4编程（第二版）电子书pdf
- 多层低温共烧陶瓷技术
- 数据库课程设计停车场管理系统
- 组态王三层电梯
- matlab椭圆检测
- 已验证正确的AD16破解步骤_AD16.1.12Licenses
- UML大作业—排课系统
- JSP新闻管理系统论文+源码
- greenplum-db-5.11.1-rhel7-x86_64.zip
- 科大讯飞SDK语言人脸识别Demo，Android Studio可用
- 2019年四个套三个省中职物联网技术应用与维护（任务书）-样题.zip
- rt-thread-rt-smart.rar
- 黑莓热键大师
- 安卓针孔探测.apk
- Operating systems Deitel 3rd edition pdf
- java万年历源程序
- django博客网站
- 文本编辑器C++代码
- php计算机精品课程网站设计
- word2vec 完整源码
- 超级强大灵活的文件批量重命名工具
- MFC漂亮的进度条
- cmake-3.16.0-rc1-win64-x64.msi
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明