Converting 1d signal to 2d image

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Kamila Jankowska
Kamila Jankowska on 15 Dec 2022
Answered: Image Analyst on 15 Dec 2022
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

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