39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
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#!/usr/bin/env python
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from __future__ import division, print_function, absolute_import
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from numpy.testing import assert_almost_equal, assert_allclose
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import pywt
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def test_centrfreq():
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# db1 is Haar function, frequency=1
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w = pywt.Wavelet('db1')
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expected = 1
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result = pywt.central_frequency(w, precision=12)
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assert_almost_equal(result, expected, decimal=3)
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# db2, frequency=2/3
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w = pywt.Wavelet('db2')
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expected = 2/3.
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result = pywt.central_frequency(w, precision=12)
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assert_almost_equal(result, expected)
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def test_scal2frq_scale():
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scale = 2
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w = pywt.Wavelet('db1')
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expected = 1. / scale
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result = pywt.scale2frequency(w, scale, precision=12)
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assert_almost_equal(result, expected, decimal=3)
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def test_intwave_orthogonal():
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w = pywt.Wavelet('db1')
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int_psi, x = pywt.integrate_wavelet(w, precision=12)
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ix = x < 0.5
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# For x < 0.5, the integral is equal to x
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assert_allclose(int_psi[ix], x[ix])
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# For x > 0.5, the integral is equal to (1 - x)
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# Ignore last point here, there x > 1 and something goes wrong
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assert_allclose(int_psi[~ix][:-1], 1 - x[~ix][:-1], atol=1e-10)
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