4f1e7f2f936bf5f3e6d1da8d8be843dc3273fe67,examples/1d/plot_filters.py,,,#,17
Before Change
// lowpass filters
// ---------------------------------------------------------------------------
fig, axs = plt.subplots(2, 1)
psis_f = (psi1_f, psi2_f)
Qs = (Q, 1)
After Change
// Do the same plot for the second-order filters. Note that since here `Q = 1`,
// we obtain wavelets that have higher frequency bandwidth.
plt.figure()
plt.plot(np.arange(T)/T, phi_f[0], "r")
for psi_f in psi2_f:
plt.plot(np.arange(T)/T, psi_f[0], "b")
plt.xlim(0, 0.5)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances Project Name: kymatio/kymatio
Commit Name: 4f1e7f2f936bf5f3e6d1da8d8be843dc3273fe67
Time: 2018-11-21
Author: janden@flatironinstitute.org
File Name: examples/1d/plot_filters.py
Class Name:
Method Name:
Project Name: scikit-image/scikit-image
Commit Name: 4cef9aff929623188f11778db030ac933a910792
Time: 2018-09-12
Author: devel@sciunto.org
File Name: doc/examples/data/plot_scientific.py
Class Name:
Method Name:
Project Name: scikit-image/scikit-image
Commit Name: 4cef9aff929623188f11778db030ac933a910792
Time: 2018-09-12
Author: devel@sciunto.org
File Name: doc/examples/data/plot_general.py
Class Name:
Method Name: