How to modify spectrograms so that there is no effect of amplitude on their classification?

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NASRIN AKTER 2022-5-9

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评论： Image Analyst 2022-5-9

Hello

Is there any way to bring different classes of spectrograms to comparable amplitude levels so that when they are used for classification, the deep learning algorithm focuses on other aspects (like the presence or absence of harmonics)?

Thanks in advance.

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Image Analyst 2022-5-9

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https://ww2.mathworks.cn/matlabcentral/answers/1715075-how-to-modify-spectrograms-so-that-there-is-no-effect-of-amplitude-on-their-classification#answer_960370

If you want, you can try rescale

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NASRIN AKTER 2022-5-9

I was following this example:

https://www.mathworks.com/help/radar/ug/pedestrian-and-bicyclist-classification-using-deep-learning.html

Here they log-transformed the stfts and then normalized the amplitude to [0,1]. Does that mean the algorithm is already using information other than amplitude to classify?