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VMD-SWTTV是一种针对一维信号的二级框架降噪算法，结合了变分模态分解VMD与平稳小波变换SWT，并采用了小波变换全变分法优化了SWT。降噪效果还是不错的。

MATLAB 100.00%

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VMD-SWTTV

未经允许，禁止转载！！！！ Matlab版本使用的是2020b

VMD-SWTTV是一种针对一维信号的二级框架降噪算法，结合了变分模态分解VMD与平稳小波变换SWT，并采用了小波变换全变分法优化了SWT。降噪效果还是不错的。 联合降噪算法VMD-SWTTV。首先使用VMD对信号进行自适应分解，在确定分解层级与主要IMF分量的选择时， 使用了峰度值与交叉相关系数进行评判，能够自适应地对信号进行分解与选择； SWTTV部分引入非凸惩罚项与TV正则项，为简化计算，使用了平稳小波变换以及一种快速全变分降噪算法。 该算法能够大幅提高信号信噪比，实验数据中分别提升了10.207dB、11.246dB、12.153dB。相比于VMD-WTD算法， 将SWTTV替换传统小波阈值降噪WTD的这一操作使信噪比分别提升了3.929dB、2.545dB、2.266dB。 使用仿真数据与最近的一些算法VMD-WTD、SVD-VMD、JANRR、EEMD-SP进行了降噪效果的对比，一定的信噪比范围， 此方法能更大程度地提升信噪比与降低均方根误差，同时也拥有着良好的稳定性。

程序入口为test.m 如有疑问请加qq：1617768486，或发邮件到[email protected]

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