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The generalized Weber transform has been used in their study.
Fourier transform has been employed and the transform has been inverted by using a numerical inversion technique.
Based on the NYFR structure, the output signal processing using wavelet transform has been studied [7].
The biorthogonal Fourier transform has been introduced to demodulate a multichirp-rate signal.
Discrete wavelet transform has been used in [13] for EEG seizure detection in newborns.
In one-dimensional signal processing, the Hilbert transform has been proven to be effective.
The spatially localized spherical Fourier transform has been studied for various applications in recent years.
Wavelet transform has been widely used for vibration-based machine fault diagnosis.
The wavelet transform has been employed to analyse the ENA data.
The multi-scale wavelet transform has been widely used in seismic processing (Rongfeng et al. 2003; Shucong et al. 2014).
Moreover, an effort based on generalized differential transform has been made to find approximate solutions of the considered problem.
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