def test_coif(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
for N in np.arange(1,6):
wname = "coif" + str(N)
[cA,cD] = pyyawt.dwt(x1,wname)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
def test_type2(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "bior3.9"
[cA,cD] = pyyawt.dwt(x1,wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,Lo_R.flatten(),Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x2,wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,Lo_R.flatten(),Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(s1,wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,Lo_R.flatten(),Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
def test_coif(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
for N in np.arange(1, 6):
wname = "coif" + str(N)
[cA, cD] = pyyawt.dwt(x1, wname)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
def test_type2(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "bior3.9"
[cA, cD] = pyyawt.dwt(x1, wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, Lo_R.flatten(), Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x2, wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, Lo_R.flatten(), Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(s1, wname)
Lo_R = np.random.randn(20)
Hi_R = np.random.randn(20)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, Lo_R.flatten(), Hi_R.flatten())
np.testing.assert_almost_equal(r, x0)
def test_haar(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = 'haar'
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
def test_bior(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wnames = [
'bior1.1', 'bior1.3', 'bior1.5', 'bior2.2', 'bior2.4', 'bior2.6',
'bior2.8', 'bior3.1', 'bior3.3', 'bior3.5', 'bior3.7', 'bior3.9',
'bior4.4', 'bior5.5', 'bior6.8'
]
for N in np.arange(1, 13):
wname = wnames[N]
[cA, cD] = pyyawt.dwt(x1, wname)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 2 * np.size(cA) - np.size(Lo_R) + 2)
r = pyyawt.idwt(cA, cD, wname)
np.testing.assert_almost_equal(r, x0)
def test_haar(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = 'haar'
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
def test_bior(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wnames = ['bior1.1', 'bior1.3', 'bior1.5', 'bior2.2', 'bior2.4', 'bior2.6',
'bior2.8', 'bior3.1', 'bior3.3', 'bior3.5', 'bior3.7', 'bior3.9',
'bior4.4', 'bior5.5', 'bior6.8']
for N in np.arange(1,13):
wname = wnames[N]
[cA,cD] = pyyawt.dwt(x1,wname)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,2*np.size(cA)-np.size(Lo_R)+2)
r = pyyawt.idwt(cA,cD,wname)
np.testing.assert_almost_equal(r, x0)
def test_haar(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
[c, l] = pyyawt.wavedec(s1, 3, 'haar')
[cA1, cD1] = pyyawt.dwt(s1, 'haar')
[cA2, cD2] = pyyawt.dwt(cA1, 'haar')
[cA3, cD3] = pyyawt.dwt(cA2, 'haar')
ca2 = pyyawt.idwt(cA3, cD3, 'haar', np.size(cA2))
ca1 = pyyawt.idwt(ca2, cD2, 'haar', np.size(cA1))
a0 = pyyawt.idwt(ca1, cD1, 'haar', np.size(s1))
s0 = pyyawt.waverec(c, l, 'haar')
np.testing.assert_almost_equal(a0, s0)
def test_haar(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
[c,l] = pyyawt.wavedec(s1,3,'haar')
[cA1,cD1] = pyyawt.dwt(s1,'haar')
[cA2,cD2] = pyyawt.dwt(cA1,'haar')
[cA3,cD3] = pyyawt.dwt(cA2,'haar')
ca2 = pyyawt.idwt(cA3,cD3,'haar',np.size(cA2))
ca1 = pyyawt.idwt(ca2,cD2,'haar',np.size(cA1))
a0 = pyyawt.idwt(ca1,cD1,'haar',np.size(s1))
s0 = pyyawt.waverec(c,l,'haar')
np.testing.assert_almost_equal(a0, s0)
def test_sym(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
for N in np.arange(2,21):
wname = "sym" + str(N)
[c,l] = pyyawt.wavedec(s1,3,wname)
[cA1,cD1] = pyyawt.dwt(s1,wname)
[cA2,cD2] = pyyawt.dwt(cA1,wname)
[cA3,cD3] = pyyawt.dwt(cA2,wname)
ca2 = pyyawt.idwt(cA3,cD3,wname,np.size(cA2))
ca1 = pyyawt.idwt(ca2,cD2,wname,np.size(cA1))
a0 = pyyawt.idwt(ca1,cD1,wname,np.size(s1))
s0 = pyyawt.waverec(c,l,wname)
np.testing.assert_almost_equal(a0, s0)
def test_sym(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
for N in np.arange(2, 21):
wname = "sym" + str(N)
[c, l] = pyyawt.wavedec(s1, 3, wname)
[cA1, cD1] = pyyawt.dwt(s1, wname)
[cA2, cD2] = pyyawt.dwt(cA1, wname)
[cA3, cD3] = pyyawt.dwt(cA2, wname)
ca2 = pyyawt.idwt(cA3, cD3, wname, np.size(cA2))
ca1 = pyyawt.idwt(ca2, cD2, wname, np.size(cA1))
a0 = pyyawt.idwt(ca1, cD1, wname, np.size(s1))
s0 = pyyawt.waverec(c, l, wname)
np.testing.assert_almost_equal(a0, s0)
def check_reconstruction(pmode, wavelet, dtype, epsilon=None):
data_size = [500, 1000, 2000, 10000, 50000, 100000]
np.random.seed(12345)
# TODO: smoke testing - more failures for different seeds
if epsilon is None:
if dtype == np.float32:
epsilon = 3e-7
else:
# FIXME: limit was 5e-11, but gave failures. Investigate
epsilon = 5e-11
for N in data_size:
data = np.asarray(np.random.random(N), dtype)
# compute dwt coefficients
pa, pd = pyyawt.dwt(data, wavelet, 'mode', pmode)
# compute reconstruction
rec = pyyawt.idwt(pa, pd, wavelet,'mode', pmode)
if len(data) % 2:
rec = rec[:len(data)]
rms_rec = np.sqrt(np.mean((data-rec)**2))
msg = ('[RMS_REC > EPSILON] for Mode: %s, Wavelet: %s, '
'Length: %d, rms=%.3g' % (pmode, wavelet, len(data), rms_rec))
np.testing.assert_equal(rms_rec < epsilon,True, err_msg=msg)
def test_bior(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wnames = ['bior1.1', 'bior1.3', 'bior1.5', 'bior2.2', 'bior2.4', 'bior2.6',
'bior2.8', 'bior3.1', 'bior3.3', 'bior3.5', 'bior3.7', 'bior3.9',
'bior4.4', 'bior5.5', 'bior6.8']
for N in np.arange(len(wnames)):
wname = wnames[N]
[c,l] = pyyawt.wavedec(s1,3,wname)
[cA1,cD1] = pyyawt.dwt(s1,wname)
[cA2,cD2] = pyyawt.dwt(cA1,wname)
[cA3,cD3] = pyyawt.dwt(cA2,wname)
ca2 = pyyawt.idwt(cA3,cD3,wname,np.size(cA2))
ca1 = pyyawt.idwt(ca2,cD2,wname,np.size(cA1))
a0 = pyyawt.idwt(ca1,cD1,wname,np.size(s1))
s0 = pyyawt.waverec(c,l,wname)
np.testing.assert_almost_equal(a0, s0)
def test_type5(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "db7"
dwtModes = ['symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1',
'ppd','per']
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_R,Hi_R] = pyyawt.wfilters(wname,'r')
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
for N in np.arange(len(dwtModes)-1):
r = pyyawt.idwt(cA,cD,wname,50,'mode',dwtModes[N])
np.testing.assert_almost_equal(r, x0)
r = pyyawt.idwt(cA,cD,wname,50,'mode','per')
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
def test_type5(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "db7"
dwtModes = [
'symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1', 'ppd', 'per'
]
[cA, cD] = pyyawt.dwt(x1, wname)
[Lo_R, Hi_R] = pyyawt.wfilters(wname, 'r')
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
for N in np.arange(len(dwtModes) - 1):
r = pyyawt.idwt(cA, cD, wname, 50, 'mode', dwtModes[N])
np.testing.assert_almost_equal(r, x0)
r = pyyawt.idwt(cA, cD, wname, 50, 'mode', 'per')
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
def test_type6(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "db7"
dwtModes = ['symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1',
'ppd','per']
[cA,cD] = pyyawt.dwt(x1,wname)
Lo_R = np.random.rand(14)
Hi_R = np.random.rand(14)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R.flatten())
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R.flatten())
x0 = pyyawt.wkeep(a0+d0,50)
for N in np.arange(len(dwtModes)-1):
r = pyyawt.idwt(cA,cD,Lo_R,Hi_R,50,'mode',dwtModes[N])
np.testing.assert_almost_equal(r, x0)
r = pyyawt.idwt(cA,cD,Lo_R,Hi_R,50,'mode','per')
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
def test_bior(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wnames = [
'bior1.1', 'bior1.3', 'bior1.5', 'bior2.2', 'bior2.4', 'bior2.6',
'bior2.8', 'bior3.1', 'bior3.3', 'bior3.5', 'bior3.7', 'bior3.9',
'bior4.4', 'bior5.5', 'bior6.8'
]
for N in np.arange(len(wnames)):
wname = wnames[N]
[c, l] = pyyawt.wavedec(s1, 3, wname)
[cA1, cD1] = pyyawt.dwt(s1, wname)
[cA2, cD2] = pyyawt.dwt(cA1, wname)
[cA3, cD3] = pyyawt.dwt(cA2, wname)
ca2 = pyyawt.idwt(cA3, cD3, wname, np.size(cA2))
ca1 = pyyawt.idwt(ca2, cD2, wname, np.size(cA1))
a0 = pyyawt.idwt(ca1, cD1, wname, np.size(s1))
s0 = pyyawt.waverec(c, l, wname)
np.testing.assert_almost_equal(a0, s0)
def test_type6(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "db7"
dwtModes = [
'symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1', 'ppd', 'per'
]
[cA, cD] = pyyawt.dwt(x1, wname)
Lo_R = np.random.rand(14)
Hi_R = np.random.rand(14)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R.flatten())
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R.flatten())
x0 = pyyawt.wkeep(a0 + d0, 50)
for N in np.arange(len(dwtModes) - 1):
r = pyyawt.idwt(cA, cD, Lo_R, Hi_R, 50, 'mode', dwtModes[N])
np.testing.assert_almost_equal(r, x0)
r = pyyawt.idwt(cA, cD, Lo_R, Hi_R, 50, 'mode', 'per')
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
def test_bior2(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
ST = pyyawt.dwtmode("status", "nodisp")
wnames = [
'bior1.1', 'bior1.3', 'bior1.5', 'bior2.2', 'bior2.4', 'bior2.6',
'bior2.8', 'bior3.1', 'bior3.3', 'bior3.5', 'bior3.7', 'bior3.9',
'bior4.4', 'bior5.5', 'bior6.8'
]
for N in np.arange(len(wnames)):
wname = wnames[N]
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
[c, l] = pyyawt.wavedec(s1, 3, wname)
s0 = pyyawt.waverec(c, l, wname)
[cA1, cD1] = pyyawt.dwt(s1, wname)
[cA2, cD2] = pyyawt.dwt(cA1, wname)
[cA3, cD3] = pyyawt.dwt(cA2, wname)
ca2 = pyyawt.idwt(cA3, cD3, wname, np.size(cA2))
ca1 = pyyawt.idwt(ca2, cD2, wname, np.size(cA1))
a0 = pyyawt.idwt(ca1, cD1, wname, np.size(s1))
np.testing.assert_almost_equal(a0, s0)
Lo_D = np.random.randn(np.size(Lo_D))
Hi_D = np.random.randn(np.size(Lo_D))
ca2 = pyyawt.idwt(cA3, cD3, Lo_R, Hi_R, np.size(cA2))
ca1 = pyyawt.idwt(ca2, cD2, Lo_R, Hi_R, np.size(cA1))
a0 = pyyawt.idwt(ca1, cD1, Lo_R, Hi_R, np.size(s1))
s0 = pyyawt.waverec(c, l, Lo_R, Hi_R)
np.testing.assert_almost_equal(a0, s0)
def test_bior2(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
ST = pyyawt.dwtmode("status","nodisp")
wnames = ['bior1.1', 'bior1.3', 'bior1.5', 'bior2.2', 'bior2.4', 'bior2.6',
'bior2.8', 'bior3.1', 'bior3.3', 'bior3.5', 'bior3.7', 'bior3.9',
'bior4.4', 'bior5.5', 'bior6.8']
for N in np.arange(len(wnames)):
wname = wnames[N]
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
[c,l] = pyyawt.wavedec(s1,3,wname)
s0 = pyyawt.waverec(c,l,wname)
[cA1,cD1] = pyyawt.dwt(s1,wname)
[cA2,cD2] = pyyawt.dwt(cA1,wname)
[cA3,cD3] = pyyawt.dwt(cA2,wname)
ca2 = pyyawt.idwt(cA3,cD3,wname,np.size(cA2))
ca1 = pyyawt.idwt(ca2,cD2,wname,np.size(cA1))
a0 = pyyawt.idwt(ca1,cD1,wname,np.size(s1))
np.testing.assert_almost_equal(a0, s0)
Lo_D = np.random.randn(np.size(Lo_D))
Hi_D = np.random.randn(np.size(Lo_D))
ca2 = pyyawt.idwt(cA3,cD3,Lo_R,Hi_R,np.size(cA2))
ca1 = pyyawt.idwt(ca2,cD2,Lo_R,Hi_R,np.size(cA1))
a0 = pyyawt.idwt(ca1,cD1,Lo_R,Hi_R,np.size(s1))
s0 = pyyawt.waverec(c,l,Lo_R,Hi_R)
np.testing.assert_almost_equal(a0, s0)
def test_type3(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "sym8"
[cA, cD] = pyyawt.dwt(x1, wname)
r = pyyawt.idwt(cA, cD, wname, 50)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(x2, wname)
r = pyyawt.idwt(cA, cD, wname, 50)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
[cA, cD] = pyyawt.dwt(s1, wname)
r = pyyawt.idwt(cA, cD, wname, 50)
[Lo_D, Hi_D, Lo_R, Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
np.testing.assert_almost_equal(r, x0)
Lo_R = np.random.randn(50)
Hi_R = np.random.randn(50)
a0 = pyyawt.conv(pyyawt.dyadup(cA), Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD), Hi_R)
x0 = pyyawt.wkeep(a0 + d0, 50)
r = pyyawt.idwt(cA, cD, Lo_R.flatten(), Hi_R.flatten(), 50)
np.testing.assert_almost_equal(r, x0)
def test_type3(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
wname = "sym8"
[cA,cD] = pyyawt.dwt(x1,wname)
r = pyyawt.idwt(cA,cD,wname,50)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(x2,wname)
r = pyyawt.idwt(cA,cD,wname,50)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
[cA,cD] = pyyawt.dwt(s1,wname)
r = pyyawt.idwt(cA,cD,wname,50)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
np.testing.assert_almost_equal(r, x0)
Lo_R = np.random.randn(50)
Hi_R = np.random.randn(50)
a0 = pyyawt.conv(pyyawt.dyadup(cA),Lo_R)
d0 = pyyawt.conv(pyyawt.dyadup(cD),Hi_R)
x0 = pyyawt.wkeep(a0+d0,50)
r = pyyawt.idwt(cA,cD,Lo_R.flatten(),Hi_R.flatten(),50)
np.testing.assert_almost_equal(r, x0)
