Search Spectral Audio Signal Processing
Book Index | Global Index
Would you like to be notified by email when Julius Orion Smith III publishes a new entry into his blog?
Continuous Wavelet Transform
In the present (Hilbert space) setting, we can now easily define the
continuous wavelet transform in terms of its signal basis set:
is called a scale parameter
frequency). The normalization by
invariance as a function of scale. We call
the wavelet coefficient
kernel of the wavelet transform
is called the mother
, and it typically has a bandpass spectrum
qualitative example is shown in Fig.10.32
Typical qualitative appearance
of first three wavelets when the scale parameter is .
The so-called admissibility condition for a mother wavelet
Given sufficient decay with
, this reduces to
is, the mother wavelet must be zero-mean.
The Morlet wavelet is simply a Gaussian-windowed complex sinusoid:
The scale factor is chosen so that
. The center
is typically chosen so that second peak is half of
In this case, we have
, which is close enough to
zero-mean for most practical purposes.
Since the scale parameter of a wavelet transform is analogous to
frequency in a Fourier transform, a wavelet transform display is often
called a scalogram, in analogy with an STFT ``spectrogram''
(discussed in §6.2).
When the mother wavelet can be interpreted as a windowed sinusoid
(such as the Morlet wavelet), the wavelet transform can be interpreted
as a constant-Q Fourier transform.11.4Before the theory of wavelets, constant-Q Fourier transforms (such as
obtained from a classic third-octave filter bank) were not easy to
invert, because the basis signals were not orthogonal. See Appendix F
for related discussion.
Previous: Normalized STFT BasisNext: Discrete Wavelet Transform
About the Author: Julius Orion Smith III
Julius Smith's background is in electrical engineering (BS Rice 1975, PhD Stanford 1983). He is presently Professor of Music and Associate Professor (by courtesy) of Electrical Engineering at Stanford's Center for Computer Research in Music and Acoustics (CCRMA)
, teaching courses and pursuing research related to signal processing applied to music and audio systems. See http://ccrma.stanford.edu/~jos/