1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
|
.. _ref-other:
.. currentmodule:: pywt
===============
Other functions
===============
Integrating wavelet functions
-----------------------------
.. autofunction:: integrate_wavelet
The result of the call depends on the ``wavelet`` argument:
* for orthogonal and continuous wavelets - an integral of the
wavelet function specified on an x-grid::
[int_psi, x_grid] = integrate_wavelet(wavelet, precision)
* for other wavelets - integrals of decomposition and
reconstruction wavelet functions and a corresponding x-grid::
[int_psi_d, int_psi_r, x_grid] = integrate_wavelet(wavelet, precision)
Central frequency of ``psi`` wavelet function
---------------------------------------------
.. autofunction:: central_frequency
.. autofunction:: scale2frequency
Quadrature Mirror Filter
------------------------
.. autofunction:: qmf
Orthogonal Filter Banks
-----------------------
.. autofunction:: orthogonal_filter_bank
Example Datasets
----------------
The following example datasets are available in the module ``pywt.data``:
============ =======================================
**name** **description**
============ =======================================
ecg ECG waveform (1024 samples)
aero grayscale image (512x512)
ascent grayscale image (512x512)
camera grayscale image (512x512)
nino sea surface temperature (264 samples)
demo_signal various synthetic 1d test signals
============ =======================================
Each can be loaded via a function of the same name.
.. currentmodule:: pywt.data
.. autofunction:: demo_signal
**Example:**
.. sourcecode:: python
>>> import pywt
>>> camera = pywt.data.camera()
>>> doppler = pywt.data.demo_signal('doppler', 1024)
>>> available_signals = pywt.data.demo_signal('list')
|
