How to remove sine shaped noises from a signal?
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I have 2 signals, 1 is default sensor noise and other one is the real signal with noise. I get signals in time domain and convert them to frequency domain, then I substract noise signal from measured signal to clear the default sensor noise from the signal but there are frequency shifts between default noise and measured noise so direct substraction creates kind of sine shaped noises on resulting signal. I wonder if there is a way to find and eliminate these sine shaped signals or to fit two signals somehow to eliminate frequency shifts before substracting.
Here are my default sensor noise signal and measured signal with noise for referance
Thanks in advance
Image Analyst am 5 Dez. 2023
Bearbeitet: Image Analyst am 5 Dez. 2023
How monotone is your "real" signal? Can you just zero out the FFT outside the known range of your signal? Or, if not, maybe just zero out at the major noise regions like around 900, 3300, and 7000 Hz?
Can you show us in time or space domain the original signal plot, and the denoised signal plot?
And I'm not sure that subtracting the spectra and inverse FTing will denoise the signal. Do you have a reference article on that?