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OverLordGoldDragon committed Jul 20, 2021
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129 changes: 129 additions & 0 deletions .gitignore
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/
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200 changes: 200 additions & 0 deletions DSP/Q76329 - CWT, Wavelets - Scale vs frequency/main.py
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# -*- coding: utf-8 -*-
# https://dsp.stackexchange.com/q/76329/50076 ################################
import numpy as np
from numpy.fft import ifft, ifftshift
from ssqueezepy.visuals import plot, scat, imshow
from ssqueezepy.utils import make_scales, cwt_scalebounds
from ssqueezepy import ssq_cwt, cwt, Wavelet
from kymatio.scattering1d.filter_bank import morlet_1d

#%%# Helper methods ##########################################################
def viz0(xf, xref=None, center=True):
x = ifft(xf)
if center:
x = ifftshift(x)
scat(xf[:32], show=1)
if xref is not None:
xref *= np.abs(x).max() / np.abs(xref).max()
plot(xref, color=grey, linestyle='--')
plot(x.real, show=1)

def morlet(N, xi, sigma=.1/2, viz=1, trim=True, nonhalved=False):
xf = morlet_1d(N, xi=xi, sigma=sigma)

trim_idx = int(xi * N) + 1
if trim:
xf[trim_idx:] = 0
if not nonhalved:
xf[trim_idx - 1] /= 2
x = ifftshift(ifft(xf))

if viz:
scat(xf, show=1)
plot(x, complex=1)
plot(x, abs=1, color='k', linestyle='--', show=1)
return x, xf

def ref_sine(xi, x=None, N=None, endpoint=False, zoom=None):
N = N if N is not None else len(x)
t = np.linspace(0, 1, N, endpoint=endpoint)
xref = np.cos(2*np.pi * (xi * N) * t)
if x is not None:
xref *= x.real.max() / xref.max()

if zoom is not None:
ctr = N // 2
zoom = (zoom, zoom) if not isinstance(zoom, tuple) else zoom
a, b = ctr - zoom[0], ctr + zoom[1] + 1
_t = np.arange(a, b)

plot(_t, xref[a:b], color=grey, linestyle='--')
if x is not None:
plot(_t, x.real[a:b], show=1, title="zoomed, real part")
return xref

grey = (.1, .1, .1, .4)

#%%# Simple sinusoid #########################################################
N = 128
t = np.linspace(0, 1, N, 0)
xf = np.zeros(N)

xf[16] = 1
xref = ifft(xf).real
viz0(xf, center=0)

#%%# Add lateral peaks
xf = np.zeros(N)
xf[15] = .5
xf[17] = .5
viz0(xf, center=0)
#%%# Both at once
xf[16] = 1
viz0(xf, xref)
#%%# Positive + negative example
xf = np.zeros(N)
xf[15] = .5
xf[17] = -.5
viz0(xf, center=0)

#%%# GIF #####################################################################
xf_full = morlet_1d(N, xi=16/128, sigma=.1/8)
xf = np.zeros(N)
xf[16] = xf_full[16]
viz0(xf)

for idx in (17, 18, 19, 20, 21):
xf[idx] = xf_full[idx]
xf[16 + (16 - idx)] = xf_full[16 + (16 - idx)]
viz0(xf, xref)

#%%# CWT near Nyquist ########################################################
N = 129
t = np.linspace(0, 1, N, 1)
x = np.cos(2*np.pi * 64 * t)

wavelet = Wavelet('morlet')
min_scale, max_scale = cwt_scalebounds(wavelet, N=N, preset='minimal')
# adjust such that highest freq wavelet's peak is at Nyquist
scales0 = make_scales(N, min_scale, max_scale, wavelet=wavelet) * 1.12
scales = scales0
Wx, _ = cwt(x, wavelet, scales=scales)

imshow(Wx, abs=1, title="abs(CWT)", xlabel="time", ylabel="scale",
yticks=scales)
plot(Wx[:, 0], abs=1, title="abs(CWT) at a time slice (same for all slices)",
xlabel="scale", show=1, xticks=scales)
imshow(Wx.real)

#%%# Morlet near nyquist #####################################################
N = 128
xf = morlet(N, xi=.5, viz=1)

#%%# Trimmed peak but higher sampling rate
N = 512
xi = .5 / 4
x, xf = morlet(N, xi=xi, sigma=.1/4, viz=1, nonhalved=True)
x, xf = morlet(N, xi=xi, sigma=.1/4, viz=1)

#%%# Zoomed sinusoid at center frequency
xref = ref_sine(xi, x=x, zoom=20)
xref = ref_sine(xi, x=x, zoom=(80, -40))

#%%# SSQ_CWT of wavelet ######################################################
# extreme time-localization
wavelet1 = Wavelet(('gmw', {'beta': 1, 'gamma': 1}))

Tx0, Wx0, *_ = ssq_cwt(x.real, wavelet1, scales='log')
mx = np.abs(Tx0).max() * .6
# zoomed
imshow(Tx0, abs=1, title="abs(SSQ_CWT) of wavelet.real", norm=(0, mx))
imshow(Tx0[20:160], abs=1, norm=(0, mx))

#%%# CWT
# to take perfect CWT of wavelet, tweak slightly to account for padding
xref = np.cos(2*np.pi * (N//8) * np.linspace(0, 1, N + 1, 1))
Tx1, Wx1, *_ = ssq_cwt(xref, wavelet, scales='log')
imshow(Tx1, abs=1, title="abs(SSQ_CWT) of sinusoid at peak center freq")

#%%# Peak center frequency ###################################################
N = 512
xi = .5 / 4
x, xf = morlet(N, xi=xi, sigma=.1/4, viz=0, nonhalved=True)
scat(xf)
f = int(N * xi)
scat(np.array([f]), xf[f], color='red', s=30, show=1)

#%%
xref = ref_sine(xi, x=x)
plot(xref, color=grey)
plot(x.real, show=1, title="peak center frequency")

#%%
t = np.linspace(0, 1, N, 1)
xref = np.cos(2*np.pi * 64 * np.linspace(0, 1, 513, 1))

wavelet = Wavelet('morlet')
min_scale, max_scale = cwt_scalebounds(wavelet, N=N, preset='minimal')
scales = make_scales(N, min_scale, max_scale, wavelet=wavelet) * 1.12
Wx, scales = cwt(xref, wavelet, scales=scales)

#%%# Energy center frequency #################################################
axf = np.abs(xf)
axfs = axf**2
fmean_l1 = np.sum(np.arange(len(x)) * axf / axf.sum())
fmean = np.sum(np.arange(len(x)) * axfs / axfs.sum())
xref = np.cos(2*np.pi * fmean * np.linspace(0, 1, N, 0))
xref *= x.real.max() / xref.max()

plot(xref, color=grey)
plot(x.real, show=1, title="energy center frequency")

#%% For spectrum use one near Nyquist
xref = ref_sine(xi=.5, N=129, endpoint=1)
Wx, _ = cwt(xref, 'morlet', scales=scales0)
imshow(Wx, abs=1)

slc = np.abs(Wx[:, 0])
fmean_nyq = np.sum(np.arange(len(slc)) * (slc**2) / (slc**2).sum())
scat(slc, vlines=(fmean_nyq, {'color': 'tab:red'}), show=1)
imshow(Wx, abs=1)

#%%# Central instantaneous center frequency ##################################
# determine central instantaneous frequency from CWT since SSQ reassigns
# nonlinearly
N = len(Tx0[0])
finst_idx = np.argmax(np.abs(Wx0[:, 256]))
psihs = wavelet1.Psih()
finst = np.argmax(np.abs(psihs[finst_idx])) // 2 # x2 pad doubles index

#%%
xref = np.cos(2*np.pi * finst * np.linspace(0, 1, N, 0))
xref *= x.real.max() / xref.max()
ctr = N // 2
d = 9
a, b = ctr - d, ctr + d + 1
xref = xref[a:b] * N / (a - b)
_t = np.arange(a, b)

plot(_t, xref, color=grey, auto_xlims=0)
plot(x.real, show=1, title="central instantaneous center frequency")
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21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2021 OverLordGoldDragon

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
24 changes: 24 additions & 0 deletions README.md
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# StackExchange Answers

"Watch" to be notified of new posts.

Question titles may be paraphrased, but IDs are exact.

### Citing

Reuse is permitted, with or without citation.

If you wish to cite, short form:

> OverLordGoldDragon, StackExchange Answers, 2020. GitHub repository, https://github.com/OverLordGoldDragon/StackExchangeAnswers/.
BibTeX

```bibtex
@article{OverLordGoldDragon2020StackExchangeAnswers,
title={StackExchange Answers},
author={OverLordGoldDragon},
journal={GitHub. Note: https://github.com/OverLordGoldDragon/StackExchangeAnswers/},
year={2020},
}
```

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