How can i generate spectrogram for a complex signal?
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I am having a complex signal as recived signal at receiver. e.g. (X_noise_signal=0.1+0.3i, 0.2-0.4i,................). I want to generate a spectrogram for this signal so that i can use it at input layer of a Convolutional Nural Network architecture. Kindly provide your suggestions.
regards,
Chirag Gupta
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Chunru
el 1 de Sept. de 2021
Use spectragrom which works both for real and complex data:
a = randn(8192, 1) + 1i*randn(8192, 1) + cos(2*pi*0.25*(0:8191)'); % complex data
spectrogram(a, 512, 256, 512)
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Chunru
el 1 de Sept. de 2021
You replace "a" with your data. The data here is for illustration only. For two-channel signal, you make the choice of having two spectrogram individually, or findong the average spectrogram, or mixing the multiple channel signals and then computing spectragram. Decision is yours.
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