how to extract features from wavelet transform

2 次查看(过去 30 天)
i have some time series data and extracted features from that, mean, standard deviation, variance, ZCR etc. now i want to get features from wavelet transformation. but i don't know how and what features can i get from that dimension. all the papers i glances only mention the features but don't tell how? some one has experience in that.

回答(1 个)

shamsah alotibe
shamsah alotibe 2019-4-16
I have the same problem, we can extract two things from signals: variables and cofficients , when I get variables i do not know how to classify it in two classes, depend in what?... and the problem with coefficients is there are not names, it is only numbers, so , how i can classify it !!
I hope we will find the answers as soon as possible

类别

Help CenterFile Exchange 中查找有关 AI for Signals and Images 的更多信息

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by