Clear Filters
Clear Filters

Dot indexing is not supported for variables of this type

2 views (last 30 days)
hello, i have this feature Extraction algorithm but i have error : Dot indexing is not supported for variables of this type
xApp = av_train;
data=xApp (: , 1);
type = 1;
feature=featureExtraction(data,'mean',type);
there is my feature Extraction function, can anyone help me please
function feature=featureExtraction(data,param,type)
%
%Input:
% data:nxm, n:#of patterns, m: number of features
% method:'raw','mean','meanVar'
% window: window length
% type: 1 --- for movtimavg
% 2 --- for windowingLabels
switch param.method
case 'raw', feature = data;
case 'mean'
if (type==1)
feature = movtimavg(data,param.window,param.step);
end
if (type==2)
feature = windowingLabels(data,param.window,param.step);
end
case 'meanVar',feature = movtimavg(data,param.window,param.step,1);
if (type==1)
feature = movtimavg(data,param.window,param.step,1);
end
if (type==2)
feature = windowingLabels(data,param.window,param.step);
end
end

Accepted Answer

Scott MacKenzie
Scott MacKenzie on 6 Apr 2022
Edited: Scott MacKenzie on 6 Apr 2022
Change
xApp = av_train;
data=xApp (: , 1);
type = 1;
feature=featureExtraction(data,'mean',type);
to
xApp = av_train;
data=xApp (: , 1);
param.method = 'mean';
param.window = 3; % change window size, as needed
param.step = 2; % change step size, as needed
type = 1;
feature=featureExtraction(data,param,type);
  3 Comments
Scott MacKenzie
Scott MacKenzie on 6 Apr 2022
OK, try the modified code in my answer. I'm not sure what window or step sizes might work for you, however.

Sign in to comment.

More Answers (1)

Image Analyst
Image Analyst on 6 Apr 2022
Edited: Image Analyst on 6 Apr 2022
Evidently param is not a structure like you thought.
Also
case 'meanVar',feature = movtimavg(data,param.window,param.step,1);
should be on two lines, not one.
  2 Comments
Nassim CHERIF
Nassim CHERIF on 6 Apr 2022
i didnt understand sorry, what should i do to correct that ?
Image Analyst
Image Analyst on 7 Apr 2022
Well, put them on different lines.
case 'meanVar'
feature = movtimavg(data,param.window,param.step,1);

Sign in to comment.

Products


Release

R2020b

Community Treasure Hunt

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

Start Hunting!