Discrete Wavelet Transform Functions and Complex Symlets
Complex-valued least asymmetric Daubechies wavelets, also known as complex symlets (see
csymwavf),
have the highest number of vanishing moments for a given support width. The scaling filters
associated with these orthogonal wavelets have near-linear phase response and are symmetric
for odd numbers of vanishing moments and least asymmetric for even numbers of vanishing
moments.
Some functions that support complex symlets only support real-valued input data. For each discrete wavelet and wavelet packet transform, the table lists the supported input data, wavelet, and precision.
| Function | Input Data | Wavelet | Precision |
|---|---|---|---|
dwt |
|
|
|
idwt |
|
|
|
wavedec |
|
|
|
waverec |
|
|
|
dwt2 | Real-valued |
|
|
idwt2 |
|
|
|
wavedec2 | Real-valued |
|
|
waverec2 |
|
|
|
dwpt |
|
|
|
idwpt |
|
|
|
wpdec | Real-valued | Real-valued |
|
wprec | Real-valued | Real-valued |
|
wpdec2 | Real-valued | Real-valued |
|
wprec2 | Real-valued | Real-valued |
|
modwt |
| Real-valued |
|
imodwt |
| Real-valued |
|
modwpt |
| Real-valued |
|
imodwpt |
| Real-valued |
|
mdwtdec |
|
|
|
mdwtrec |
|
|
|
dldwt | Real-valued | Real-valued |
|
dlidwt | Real-valued | Real-valued |
|
dlmodwt |
| Real-valued |
|
swt | Real-valued | Real-valued |
|
iswt | Real-valued | Real-valued |
|
swt2 | Real-valued | Real-valued |
|
iswt2 | Real-valued | Real-valued |
|