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_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_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_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_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_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_matrix(self):
a = np.random.randn(50,51)
b = pyyawt.wkeep(a,[27,26])
b1 = pyyawt.wkeep(a,[27,26],[2,3])
c = a[11:38,:][:,12:38]
c1 = a[1:28,:][:,2:28]
np.testing.assert_almost_equal(b, c)
np.testing.assert_almost_equal(b1, c1)
def test_matrix(self):
a = np.random.randn(50, 51)
b = pyyawt.wkeep(a, [27, 26])
b1 = pyyawt.wkeep(a, [27, 26], [2, 3])
c = a[11:38, :][:, 12:38]
c1 = a[1:28, :][:, 2:28]
np.testing.assert_almost_equal(b, c)
np.testing.assert_almost_equal(b1, c1)
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_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(1,13):
wname = wnames[N]
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x1,np.size(Lo_D),'b'),Lo_D),(np.size(x1)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x1,np.size(Lo_D),'b'),Hi_D),(np.size(x1)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(x2,wname)
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x2,np.size(Lo_D),'b'),Lo_D),(np.size(x2)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x2,np.size(Lo_D),'b'),Hi_D),(np.size(x2)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(s1,wname)
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',s1,np.size(Lo_D),'b'),Lo_D),(np.size(s1)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',s1,np.size(Lo_D),'b'),Hi_D),(np.size(s1)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
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)
def test_haar(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
[cA,cD] = pyyawt.dwt(x1,'haar')
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters('haar')
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x1,np.size(Lo_D),'b'),Lo_D),(np.size(x1)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x1,np.size(Lo_D),'b'),Hi_D),(np.size(x1)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(x2,'haar')
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x2,np.size(Lo_D),'b'),Lo_D),(np.size(x2)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x2,np.size(Lo_D),'b'),Hi_D),(np.size(x2)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(s1,'haar')
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',s1,np.size(Lo_D),'b'),Lo_D),(np.size(s1)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',s1,np.size(Lo_D),'b'),Hi_D),(np.size(s1)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
def test_sym(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
for N in np.arange(4,11):
wname = "sym" + str(N)
[cA,cD] = pyyawt.dwt(x1,wname)
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x1,np.size(Lo_D),'b'),Lo_D),(np.size(x1)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x1,np.size(Lo_D),'b'),Hi_D),(np.size(x1)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(x2,wname)
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x2,np.size(Lo_D),'b'),Lo_D),(np.size(x2)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',x2,np.size(Lo_D),'b'),Hi_D),(np.size(x2)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(s1,wname)
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',s1,np.size(Lo_D),'b'),Lo_D),(np.size(s1)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,'symh',s1,np.size(Lo_D),'b'),Hi_D),(np.size(s1)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
def test_vector_odd(self):
a = np.random.randn(51)
b = pyyawt.wkeep(a,26)
b1 = pyyawt.wkeep(a,26,'c')
b2 = pyyawt.wkeep(a,26,'l')
b3 = pyyawt.wkeep(a,26,'r')
b4 = pyyawt.wkeep(a,26,2)
b5 = pyyawt.wkeep(a,26)
b6 = pyyawt.wkeep(a,26,'c')
b7 = pyyawt.wkeep(a,26,'l')
b8 = pyyawt.wkeep(a,26,'r')
b9 = pyyawt.wkeep(a,26,2)
c = a[12:38]
c1 = a[0:26]
c2 = a[-26:]
c3 = a[1:27]
np.testing.assert_almost_equal(b, b1)
np.testing.assert_almost_equal(b, c)
np.testing.assert_almost_equal(b2, c1)
np.testing.assert_almost_equal(b3, c2)
np.testing.assert_almost_equal(b4, c3)
np.testing.assert_almost_equal(b5, b)
np.testing.assert_almost_equal(b6, b)
np.testing.assert_almost_equal(b7, b2)
np.testing.assert_almost_equal(b8, b3)
np.testing.assert_almost_equal(b9, c3)
a = np.random.randn(1,51)
b = pyyawt.wkeep(a,26)
b1 = pyyawt.wkeep(a,26,'c')
b2 = pyyawt.wkeep(a,26,'l')
b3 = pyyawt.wkeep(a,26,'r')
b4 = pyyawt.wkeep(a,26,2)
b5 = pyyawt.wkeep(a.T,26)
b6 = pyyawt.wkeep(a.T,26,'c')
b7 = pyyawt.wkeep(a.T,26,'l')
b8 = pyyawt.wkeep(a.T,26,'r')
b9 = pyyawt.wkeep(a.T,26,2)
c = a[:,12:38]
c1 = a[:,0:26]
c2 = a[:,-26:]
c3 = a[:,1:27]
np.testing.assert_almost_equal(b, b1)
np.testing.assert_almost_equal(b, c)
np.testing.assert_almost_equal(b2, c1)
np.testing.assert_almost_equal(b3, c2)
np.testing.assert_almost_equal(b4, c3)
np.testing.assert_almost_equal(b5, b.T)
np.testing.assert_almost_equal(b6, b.T)
np.testing.assert_almost_equal(b7, b2.T)
np.testing.assert_almost_equal(b8, b3.T)
np.testing.assert_almost_equal(b9, c3.T)
def test_vector_even(self):
a = np.random.randn(50)
b = pyyawt.wkeep(a,27)
b1 = pyyawt.wkeep(a,27,'c')
b2 = pyyawt.wkeep(a,27,'l')
b3 = pyyawt.wkeep(a,27,'r')
b4 = pyyawt.wkeep(a,27)
b5 = pyyawt.wkeep(a,27,'c')
b6 = pyyawt.wkeep(a,27,'l')
b7 = pyyawt.wkeep(a,27,'r')
b8 = pyyawt.wkeep(a,27,2)
b9 = pyyawt.wkeep(a,27,2)
c = a[11:38]
c1 = a[0:27]
c2 = a[-27:]
c3 = a[1:28]
np.testing.assert_almost_equal(b, b1)
np.testing.assert_almost_equal(b1, c)
np.testing.assert_almost_equal(b2, c1)
np.testing.assert_almost_equal(b3, c2)
np.testing.assert_almost_equal(b4, b1)
np.testing.assert_almost_equal(b5, b1)
np.testing.assert_almost_equal(b6, b2)
np.testing.assert_almost_equal(b7, b3)
np.testing.assert_almost_equal(b8, c3)
np.testing.assert_almost_equal(b9, c3)
a = np.random.randn(1,50)
b = pyyawt.wkeep(a,27)
b1 = pyyawt.wkeep(a,27,'c')
b2 = pyyawt.wkeep(a,27,'l')
b3 = pyyawt.wkeep(a,27,'r')
b4 = pyyawt.wkeep(a.T,27)
b5 = pyyawt.wkeep(a.T,27,'c')
b6 = pyyawt.wkeep(a.T,27,'l')
b7 = pyyawt.wkeep(a.T,27,'r')
b8 = pyyawt.wkeep(a,27,2)
b9 = pyyawt.wkeep(a.T,27,2)
c = a[:,11:38]
c1 = a[:,0:27]
c2 = a[:,-27:]
c3 = a[:,1:28]
np.testing.assert_almost_equal(b, b1)
np.testing.assert_almost_equal(b1, c)
np.testing.assert_almost_equal(b2, c1)
np.testing.assert_almost_equal(b3, c2)
np.testing.assert_almost_equal(b4, b1.T)
np.testing.assert_almost_equal(b5, b1.T)
np.testing.assert_almost_equal(b6, b2.T)
np.testing.assert_almost_equal(b7, b3.T)
np.testing.assert_almost_equal(b8, c3)
np.testing.assert_almost_equal(b9, c3.T)
def test_vector_odd(self):
a = np.random.randn(51)
b = pyyawt.wkeep(a, 26)
b1 = pyyawt.wkeep(a, 26, 'c')
b2 = pyyawt.wkeep(a, 26, 'l')
b3 = pyyawt.wkeep(a, 26, 'r')
b4 = pyyawt.wkeep(a, 26, 2)
b5 = pyyawt.wkeep(a, 26)
b6 = pyyawt.wkeep(a, 26, 'c')
b7 = pyyawt.wkeep(a, 26, 'l')
b8 = pyyawt.wkeep(a, 26, 'r')
b9 = pyyawt.wkeep(a, 26, 2)
c = a[12:38]
c1 = a[0:26]
c2 = a[-26:]
c3 = a[1:27]
np.testing.assert_almost_equal(b, b1)
np.testing.assert_almost_equal(b, c)
np.testing.assert_almost_equal(b2, c1)
np.testing.assert_almost_equal(b3, c2)
np.testing.assert_almost_equal(b4, c3)
np.testing.assert_almost_equal(b5, b)
np.testing.assert_almost_equal(b6, b)
np.testing.assert_almost_equal(b7, b2)
np.testing.assert_almost_equal(b8, b3)
np.testing.assert_almost_equal(b9, c3)
a = np.random.randn(1, 51)
b = pyyawt.wkeep(a, 26)
b1 = pyyawt.wkeep(a, 26, 'c')
b2 = pyyawt.wkeep(a, 26, 'l')
b3 = pyyawt.wkeep(a, 26, 'r')
b4 = pyyawt.wkeep(a, 26, 2)
b5 = pyyawt.wkeep(a.T, 26)
b6 = pyyawt.wkeep(a.T, 26, 'c')
b7 = pyyawt.wkeep(a.T, 26, 'l')
b8 = pyyawt.wkeep(a.T, 26, 'r')
b9 = pyyawt.wkeep(a.T, 26, 2)
c = a[:, 12:38]
c1 = a[:, 0:26]
c2 = a[:, -26:]
c3 = a[:, 1:27]
np.testing.assert_almost_equal(b, b1)
np.testing.assert_almost_equal(b, c)
np.testing.assert_almost_equal(b2, c1)
np.testing.assert_almost_equal(b3, c2)
np.testing.assert_almost_equal(b4, c3)
np.testing.assert_almost_equal(b5, b.T)
np.testing.assert_almost_equal(b6, b.T)
np.testing.assert_almost_equal(b7, b2.T)
np.testing.assert_almost_equal(b8, b3.T)
np.testing.assert_almost_equal(b9, c3.T)
def test_dwtMode(self):
s1 = self.s1
x1 = self.x1
x2 = self.x2
# ST = pyyawt.dwtmode("status","nodisp")
dwtModes = ['symw', 'asymh', 'asymw', 'zpd', 'sp0', 'sp1',
'ppd','per']
wname = "db10"
for N in np.arange(len(dwtModes)-1):
# pyyawt.dwtmode(dwtModes[N])
[cA,cD] = pyyawt.dwt(x1,wname,"mode",dwtModes[N])
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],x1,np.size(Lo_D),'b'),Lo_D),(np.size(x1)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],x1,np.size(Lo_D),'b'),Hi_D),(np.size(x1)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(x2,wname,"mode",dwtModes[N])
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],x2,np.size(Lo_D),'b'),Lo_D),(np.size(x2)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],x2,np.size(Lo_D),'b'),Hi_D),(np.size(x2)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(s1,wname,"mode",dwtModes[N])
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],s1,np.size(Lo_D),'b'),Lo_D),(np.size(s1)+np.size(Lo_D)-1)))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],s1,np.size(Lo_D),'b'),Hi_D),(np.size(s1)+np.size(Lo_D)-1)))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
N = len(dwtModes) - 1
[cA,cD] = pyyawt.dwt(x1,wname,"mode",dwtModes[N])
[Lo_D,Hi_D,Lo_R,Hi_R] = pyyawt.wfilters(wname)
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],x1,np.size(Lo_D),'b'),Lo_D),(np.size(x1))))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],x1,np.size(Lo_D),'b'),Hi_D),(np.size(x1))))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(x2,wname,"mode",dwtModes[N])
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],x2,np.size(Lo_D),'b'),Lo_D),(np.size(x2))))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],x2,np.size(Lo_D),'b'),Hi_D),(np.size(x2))))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
[cA,cD] = pyyawt.dwt(s1,wname,"mode",dwtModes[N])
caa = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],s1,np.size(Lo_D),'b'),Lo_D),(np.size(s1))))
cdd = pyyawt.dyaddown(pyyawt.wkeep(pyyawt.conv(pyyawt.wextend(1,dwtModes[N],s1,np.size(Lo_D),'b'),Hi_D),(np.size(s1))))
np.testing.assert_almost_equal(caa.flatten(), cA)
np.testing.assert_almost_equal(cdd.flatten(), cD)
def test_vector_even(self):
a = np.random.randn(50)
b = pyyawt.wkeep(a, 27)
b1 = pyyawt.wkeep(a, 27, 'c')
b2 = pyyawt.wkeep(a, 27, 'l')
b3 = pyyawt.wkeep(a, 27, 'r')
b4 = pyyawt.wkeep(a, 27)
b5 = pyyawt.wkeep(a, 27, 'c')
b6 = pyyawt.wkeep(a, 27, 'l')
b7 = pyyawt.wkeep(a, 27, 'r')
b8 = pyyawt.wkeep(a, 27, 2)
b9 = pyyawt.wkeep(a, 27, 2)
c = a[11:38]
c1 = a[0:27]
c2 = a[-27:]
c3 = a[1:28]
np.testing.assert_almost_equal(b, b1)
np.testing.assert_almost_equal(b1, c)
np.testing.assert_almost_equal(b2, c1)
np.testing.assert_almost_equal(b3, c2)
np.testing.assert_almost_equal(b4, b1)
np.testing.assert_almost_equal(b5, b1)
np.testing.assert_almost_equal(b6, b2)
np.testing.assert_almost_equal(b7, b3)
np.testing.assert_almost_equal(b8, c3)
np.testing.assert_almost_equal(b9, c3)
a = np.random.randn(1, 50)
b = pyyawt.wkeep(a, 27)
b1 = pyyawt.wkeep(a, 27, 'c')
b2 = pyyawt.wkeep(a, 27, 'l')
b3 = pyyawt.wkeep(a, 27, 'r')
b4 = pyyawt.wkeep(a.T, 27)
b5 = pyyawt.wkeep(a.T, 27, 'c')
b6 = pyyawt.wkeep(a.T, 27, 'l')
b7 = pyyawt.wkeep(a.T, 27, 'r')
b8 = pyyawt.wkeep(a, 27, 2)
b9 = pyyawt.wkeep(a.T, 27, 2)
c = a[:, 11:38]
c1 = a[:, 0:27]
c2 = a[:, -27:]
c3 = a[:, 1:28]
np.testing.assert_almost_equal(b, b1)
np.testing.assert_almost_equal(b1, c)
np.testing.assert_almost_equal(b2, c1)
np.testing.assert_almost_equal(b3, c2)
np.testing.assert_almost_equal(b4, b1.T)
np.testing.assert_almost_equal(b5, b1.T)
np.testing.assert_almost_equal(b6, b2.T)
np.testing.assert_almost_equal(b7, b3.T)
np.testing.assert_almost_equal(b8, c3)
np.testing.assert_almost_equal(b9, c3.T)
