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Converting 1d signal to 2d image

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Kamila Jankowska
Kamila Jankowska on 15 Dec 2022
Commented: Image Analyst on 26 Jul 2023
I would like to ask how can I convert 1d signal to timeseries image, which will be used as CNN input?
Atatched schema is presenting this operation.

Answers (2)

Abderrahim. B
Abderrahim. B on 15 Dec 2022
If i understood your question properly, you want to convert time series (signal is type of time series) to like-image to train CNN. See below:
% Generate signal
Fs = 2500 ;
F = [40 70 400]
F = 1×3
40 70 400
t = 0:1/Fs:2-1/Fs ; % 2 seconds
noisySig = 2.5*sum(cos(2*pi*F.'*t)) + randn(1, length(t)) ; % noisy signal
% convert to spectrogram
spectrogram(noisySig, Fs)
hope this helps
  1 Comment
Image Analyst
Image Analyst on 15 Dec 2022
The how do you get the image from the spectrogram axes? Use getimage or getframe?

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Image Analyst
Image Analyst on 15 Dec 2022
How about using reshape to make it into a 2-D matrix of the proper aspect ratio? Then use imresize to size it to the size your network requires. Like to get 227 rows from your signal:
reshapedSignal = reshape(originalSignal, 227, []);
reshapedSignal = imresize(reshapedSignal, [227, 227]); % 227 for Alexnet
Dear Image Analyst,
Will the reshaping of the original signal retain the all the information of the original one?
Image Analyst
Image Analyst on 26 Jul 2023
Yes. No information is lost.

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