Fourier denoising is too rough, and generally more wavelet denoising is selected, and there are many such searches. . . Specific examples can be searched online, and there are many. . .
Wavelet domain denoising maps the signal to wavelet domain. According to the different properties and mechanisms of noise and noise wavelet coefficients on different scales, the wavelet coefficients of noisy signals are processed. The essence is to reduce the wavelet coefficients produced by denoising and retain the coefficients of the real signal to the maximum extent. The optimal estimation of signal is obtained by inverse wavelet transform.
Basic method: modulus maximum reconstruction denoising spatial correlation denoising wavelet domain threshold denoising