Written by: Dodge(Lang HE) asdsay@gmail.com Updated date: 2023-11-13
VMD, aka Variational Mode Decomposition, is a signal processing tool that decompse the input signal into different band-limited IMFs. Project VMD_cpp is an imitation of that in MATLAB. In this project, I used eigen3 to refactor VMD in C++, so that we can use it without MATLAB. Detail input and output please check out function VMD in file VMD_Utils.cpp.
This sample code was written in MSBuild. You can both run in Visual Studio 2022 or MSVC or CMAKE/GCC, you can use either the sln project file, or the CMakeList.txt, they both work.
If you are looking for document to describe Variational mode decomposition, please turn to the original paper Variational Mode Decomposition. You can also find the MATLAB codes here.
Updated 2023-11-13: This VMD runs too slow. I tried to use OpenMP again and again to make Eigen in parallel computing, but it still didn't work. So I did what I can, to make everything as fast as possible in Eigen. Hopefully this is good enough for someone using it.
作者：Dodge asdsay@gmail.com 更新日期：2023-11-13
VMD（变分模态分解）是一种信号处理算法，可以将输入信号分解为不同带限的内禀模态函数（IMFs）。 本项目VMD_cpp 是参考于其在MATLAB中的实现。在项目中，借助eigen3来实现C++中的VMD，从而无须MATLAB的计算。详细的输入输出，可以查看VMD_Utils.cpp文件中的 VMD函数。
本项目用MSBuild编写，也可在Visual Studio 2022、MSVC或CMAKE/GCC中运行，sln项目文件或CMakeList.txt都能用。
如果需要描述变分模态分解的文档，可参阅原始论文Variational Mode Decomposition。
更新于2023-11-13：这个项目稍慢。我尝试使用OpenMP来使Eigen进行并行计算，但并没有提速。所以我没有实现那一版，我仅在原代码上修改，尽可能让Eigen加快，希望效果足够好吧。