Continuous wavelet transform

As discussed in the earlier section, wavelet transform of the signals is recommended due to the limitations offered by STFT. AWT (Analytic Wavelet Transform) provides suitable and adaptive time-scale and time-frequency domains. Zhu [15] found better results using AWT over STFT while analyzing the noise causing human hearing loss. AWT is a type of the Continuous Wavelet Transform that calculates the product of signals and complex Morlet wavelet due to which the resulting coefficients are complex numbers and analytic in nature therefore makes it a complex continuous wavelet transform [16]. The mother wavelet in AWT is given in Eq. 5. (5) Where j is a complex number, is a real function and is the frequency parameter. The complex Morlet wavelet…