Abstract :
The generalized Morse wavelets are shown to constitute a superfamily that essentially encompasses all other commonly used analytic wavelets, subsuming eight apparently distinct types of analysis filters into a single common form. This superfamily of analytic wavelets provides a framework for systematically investigating wavelet suitability for various applications. In addition to a parameter controlling the time-domain duration or Fourier-domain bandwidth, the wavelet shape with fixed bandwidth may be modified by varying a second parameter, called γ. For integer values of γ, the most symmetric, most nearly Gaussian, and generally most time-frequency concentrated member of the superfamily is found to occur for γ = 3. These wavelets, known as “Airy wavelets,” capture the essential idea of popular Morlet wavelet, while avoiding its deficiencies. They may be recommended as an ideal starting point for general purpose use.
Keywords :
Fourier analysis; Gaussian processes; filtering theory; time-frequency analysis; wavelet transforms; Fourier-domain bandwidth; Gaussian process; Morlet wavelet; airy wavelet; analytic superfamily wavelet; generalized Morse wavelet; single common filter form; time-domain duration; time-frequency concentrated member; wavelet shape; Probability distribution; Standards; Time domain analysis; Time frequency analysis; Wavelet analysis; Wavelet domain; Amplitude modulation; Hilbert transform; continuous wavelet transform; frequency modulation;