How and What features are extracted using Wavelet Packet Transform

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C PRASAD
C PRASAD 2022 年 8 月 22 日
I have and Signal of 10000*3 size.I would like to extract the features from Wavelet coefficiensts of last level. Since it is wavalet packet transform,for 3rd level i will be having 8 sub bands.How this help us to extract the Features and What are the Features need to Extract generally
wname='sym5';level=3;keepap=1;
crit='shannon';critv=0;
% sorh='s';
% dwtmode('per'); %signal Extension
emg_notch=abs(rand(10000,3));
wpt(:,i)=wpdec(emg_notch(:,i),level,wname,crit,critv); %Wpt Decomposition
Index in position 2 is invalid. Array indices must be positive integers or logical values.
%% Level 3 Coefficienst %%
WP_cfs10(:,i)=wpcoef(wpt(:,i),[3 0]);
WP_cfs11(:,i)=wpcoef(wpt(:,i),[3 1]);
WP_cfs12(:,i)=wpcoef(wpt(:,i),[3 2]);
WP_cfs13(:,i)=wpcoef(wpt(:,i),[3 3]);
WP_cfs14(:,i)=wpcoef(wpt(:,i),[3 4]);
WP_cfs15(:,i)=wpcoef(wpt(:,i),[3 5]);
WP_cfs16(:,i)=wpcoef(wpt(:,i),[3 6]);
WP_cfs17(:,i)=wpcoef(wpt(:,i),[3 7]);

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