The invention relates to the technical field of ultrasonic
signal processing, in particular to a
wavelet and MAD adaptive threshold combined
laser ultrasonic
signal denoising method. The method comprises the following steps: firstly, preprocessing an acquired trigger channel
signal and an ultrasonic channel signal, determining a signal starting point through differential positioning, and intercepting an effective signal segment; carrying out multilayer
wavelet decomposition on the effective signal segment to obtain a
wavelet coefficient of each layer; extracting a detail coefficient of the highest
decomposition layer, and adaptively estimating a
noise standard deviation based on a median
absolute deviation criterion; calculating an adaptive threshold according to the
noise standard deviation and the signal length, and
processing each layer of wavelet coefficient by adopting a hard
threshold function; and finally, carrying out wavelet inverse transformation reconstruction to obtain a denoised signal. According to the method, prior
noise information is not needed, the
noise level can be adaptively estimated, the optimal threshold value can be determined, the signal features are reserved while noise is effectively suppressed, and the signal-to-noise ratio is remarkably improved.