Frequency–wavenumber domain filtering for improved damage visualization

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Automated detection of delamination and disbond from wavefield images obtained using a scanning laser vibrometer (2011, unknown): “The first step is to convert the velocity field (v) from the space–time domain (x, y, t) to the f –k domain (kx, ky, ω) using a three-dimensional Fourier transform (3D FT) [16]:”
Guided wave based structural health monitoring: A review (2016, methodology): “of LDV sensed Lamb wave responses was used for damage imaging by Ruzzene [104].”
Identification of cracks in thin-walled structures by means of wavenumber filtering (2015, methodology): “Much more refined damage visualization methods are based on frequency-wavenumber domain filtering introduced by Ruzzene [10].”
Delamination detection in composites through guided wave field image processing (2011, methodology): “The first step is to convert the velocity field (v) from space–time domain (x,y,t) to wavenumber-frequency domain (kx,ky,x) using a three-dimensional Fourier transform (3D FT) [15]:”
Complete noncontact laser ultrasonic imaging for automated crack visualization in a plate (2013, methodology): “First, WT(x, t) in the time–space (t–s) domain is transformed into the f –k domain using a 2D Fourier transform (2D FT) [20]:”