def A_matrix():
'''
Calculates A matrix whose elements :math:`A_{p i}` are given by
:math:`A_{pi} = \\int^1_{-1} L_p(\\xi)L_i(\\xi) \\frac{dx}{d\\xi}`
The integrals are computed using the integrate() function.
Since elements are taken to be of equal size, :math:`\\frac {dx}{d\\xi}`
is same everywhere
Returns
-------
A_matrix : arrayfire.Array [N_LGL N_LGL 1 1]
The value of integral of product of lagrange basis functions
obtained by LGL points, using the integrate() function
'''
# Coefficients of Lagrange basis polynomials.
lagrange_coeffs = params.lagrange_coeffs
lagrange_coeffs = af.reorder(lagrange_coeffs, 1, 2, 0)
# Coefficients of product of Lagrange basis polynomials.
lag_prod_coeffs = af.convolve1(lagrange_coeffs,\
af.reorder(lagrange_coeffs, 0, 2, 1),\
conv_mode=af.CONV_MODE.EXPAND)
lag_prod_coeffs = af.reorder(lag_prod_coeffs, 1, 2, 0)
lag_prod_coeffs = af.moddims(lag_prod_coeffs, params.N_LGL**2,
2 * params.N_LGL - 1)
dx_dxi = params.dx_dxi
A_matrix = dx_dxi * af.moddims(lagrange.integrate(lag_prod_coeffs),\
params.N_LGL, params.N_LGL)
return A_matrix
def lagrange_polynomial_coeffs(x):
'''
This function doesn't use poly1d. It calculates the coefficients of the
Lagrange basis polynomials.
A function to get the analytical form and the coefficients of
Lagrange basis polynomials evaluated using x nodes.
It calculates the Lagrange basis polynomials using the formula:
.. math:: \\
L_i = \\prod_{m = 0, m \\notin i}^{N - 1}\\frac{(x - x_m)}{(x_i - x_m)}
Parameters
----------
x : numpy.array [N_LGL 1 1 1]
Contains the :math: `x` nodes using which the
lagrange basis functions need to be evaluated.
Returns
-------
lagrange_basis_coeffs : numpy.ndarray
A :math: `N \\times N` matrix containing the
coefficients of the Lagrange basis polynomials such
that :math:`i^{th}` lagrange polynomial will be the
:math:`i^{th}` row of the matrix.
'''
X = np.array(x)
lagrange_basis_poly = []
lagrange_basis_coeffs = af.np_to_af_array(
np.zeros([X.shape[0], X.shape[0]]))
for j in np.arange(X.shape[0]):
lagrange_basis_k = af.np_to_af_array(np.array([1.]))
for m in np.arange(X.shape[0]):
if m != j:
lagrange_basis_k = af.convolve1(lagrange_basis_k,\
af.np_to_af_array(np.array([1, -X[m]])/ (X[j] - X[m])),\
conv_mode=af.CONV_MODE.EXPAND)
lagrange_basis_coeffs[j] = af.transpose(lagrange_basis_k)
return lagrange_basis_coeffs
def poly1d_product(poly_a, poly_b):
'''
Finds the product of two polynomials using the arrayfire convolve1
function.
Parameters
----------
poly_a : af.Array[N degree_a 1 1]
:math:`N` polynomials of degree :math:`degree`
poly_b : af.Array[N degree_b 1 1]
:math:`N` polynomials of degree :math:`degree_b`
'''
return af.transpose(
af.convolve1(af.transpose(poly_a),
af.transpose(poly_b),
conv_mode=af.CONV_MODE.EXPAND))
af.display(af.fft2(a)) af.display(af.dft(a)) af.display(af.real(af.ifft2(af.fft2(a)))) af.display(af.real(af.idft(af.dft(a)))) a = af.randu(4, 4, 2) af.display(a) af.display(af.fft3(a)) af.display(af.dft(a)) af.display(af.real(af.ifft3(af.fft3(a)))) af.display(af.real(af.idft(af.dft(a)))) a = af.randu(10, 1) b = af.randu(3, 1) af.display(af.convolve1(a, b)) af.display(af.fft_convolve1(a, b)) af.display(af.convolve(a, b)) af.display(af.fft_convolve(a, b)) a = af.randu(5, 5) b = af.randu(3, 3) af.display(af.convolve2(a, b)) af.display(af.fft_convolve2(a, b)) af.display(af.convolve(a, b)) af.display(af.fft_convolve(a, b)) a = af.randu(5, 5, 3) b = af.randu(3, 3, 2) af.display(af.convolve3(a, b)) af.display(af.fft_convolve3(a, b))
def simple_signal(verbose=False):
display_func = _util.display_func(verbose)
print_func = _util.print_func(verbose)
a = af.randu(10, 1)
pos0 = af.randu(10) * 10
display_func(af.approx1(a, pos0))
a = af.randu(3, 3)
pos0 = af.randu(3, 3) * 10
pos1 = af.randu(3, 3) * 10
display_func(af.approx2(a, pos0, pos1))
a = af.randu(8, 1)
display_func(a)
display_func(af.fft(a))
display_func(af.dft(a))
display_func(af.real(af.ifft(af.fft(a))))
display_func(af.real(af.idft(af.dft(a))))
a = af.randu(4, 4)
display_func(a)
display_func(af.fft2(a))
display_func(af.dft(a))
display_func(af.real(af.ifft2(af.fft2(a))))
display_func(af.real(af.idft(af.dft(a))))
a = af.randu(4, 4, 2)
display_func(a)
display_func(af.fft3(a))
display_func(af.dft(a))
display_func(af.real(af.ifft3(af.fft3(a))))
display_func(af.real(af.idft(af.dft(a))))
a = af.randu(10, 1)
b = af.randu(3, 1)
display_func(af.convolve1(a, b))
display_func(af.fft_convolve1(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
a = af.randu(5, 5)
b = af.randu(3, 3)
display_func(af.convolve2(a, b))
display_func(af.fft_convolve2(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
a = af.randu(5, 5, 3)
b = af.randu(3, 3, 2)
display_func(af.convolve3(a, b))
display_func(af.fft_convolve3(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
b = af.randu(3, 1)
x = af.randu(10, 1)
a = af.randu(2, 1)
display_func(af.fir(b, x))
display_func(af.iir(b, a, x))
def simple_signal(verbose=False):
display_func = _util.display_func(verbose)
print_func = _util.print_func(verbose)
a = af.randu(10, 1)
pos0 = af.randu(10) * 10
display_func(af.approx1(a, pos0))
a = af.randu(3, 3)
pos0 = af.randu(3, 3) * 10
pos1 = af.randu(3, 3) * 10
display_func(af.approx2(a, pos0, pos1))
a = af.randu(8, 1)
display_func(a)
display_func(af.fft(a))
display_func(af.dft(a))
display_func(af.real(af.ifft(af.fft(a))))
display_func(af.real(af.idft(af.dft(a))))
a = af.randu(4, 4)
display_func(a)
display_func(af.fft2(a))
display_func(af.dft(a))
display_func(af.real(af.ifft2(af.fft2(a))))
display_func(af.real(af.idft(af.dft(a))))
a = af.randu(4, 4, 2)
display_func(a)
display_func(af.fft3(a))
display_func(af.dft(a))
display_func(af.real(af.ifft3(af.fft3(a))))
display_func(af.real(af.idft(af.dft(a))))
a = af.randu(10, 1)
b = af.randu(3, 1)
display_func(af.convolve1(a, b))
display_func(af.fft_convolve1(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
a = af.randu(5, 5)
b = af.randu(3, 3)
display_func(af.convolve2(a, b))
display_func(af.fft_convolve2(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
a = af.randu(5, 5, 3)
b = af.randu(3, 3, 2)
display_func(af.convolve3(a, b))
display_func(af.fft_convolve3(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
b = af.randu(3, 1)
x = af.randu(10, 1)
a = af.randu(2, 1)
display_func(af.fir(b, x))
display_func(af.iir(b, a, x))
af.display(af.fft2(a)) af.display(af.dft(a)) af.display(af.real(af.ifft2(af.fft2(a)))) af.display(af.real(af.idft(af.dft(a)))) a = af.randu(4, 4, 2) af.display(a) af.display(af.fft3(a)) af.display(af.dft(a)) af.display(af.real(af.ifft3(af.fft3(a)))) af.display(af.real(af.idft(af.dft(a)))) a = af.randu(10, 1) b = af.randu(3, 1) af.display(af.convolve1(a, b)) af.display(af.fft_convolve1(a, b)) af.display(af.convolve(a, b)) af.display(af.fft_convolve(a, b)) a = af.randu(5, 5) b = af.randu(3, 3) af.display(af.convolve2(a, b)) af.display(af.fft_convolve2(a, b)) af.display(af.convolve(a, b)) af.display(af.fft_convolve(a, b)) a = af.randu(5, 5, 3) b = af.randu(3, 3, 2) af.display(af.convolve3(a, b)) af.display(af.fft_convolve3(a, b))
def simple_signal(verbose=False):
display_func = _util.display_func(verbose)
print_func = _util.print_func(verbose)
signal = af.randu(10)
x_new = af.randu(10)
x_orig = af.randu(10)
display_func(af.approx1(signal, x_new, xp = x_orig))
signal = af.randu(3, 3)
x_new = af.randu(3, 3)
x_orig = af.randu(3, 3)
y_new = af.randu(3, 3)
y_orig = af.randu(3, 3)
display_func(af.approx2(signal, x_new, y_new, xp = x_orig, yp = y_orig))
a = af.randu(8, 1)
display_func(a)
display_func(af.fft(a))
display_func(af.dft(a))
display_func(af.real(af.ifft(af.fft(a))))
display_func(af.real(af.idft(af.dft(a))))
b = af.fft(a)
af.ifft_inplace(b)
display_func(b)
af.fft_inplace(b)
display_func(b)
b = af.fft_r2c(a)
c = af.fft_c2r(b)
display_func(b)
display_func(c)
a = af.randu(4, 4)
display_func(a)
display_func(af.fft2(a))
display_func(af.dft(a))
display_func(af.real(af.ifft2(af.fft2(a))))
display_func(af.real(af.idft(af.dft(a))))
b = af.fft2(a)
af.ifft2_inplace(b)
display_func(b)
af.fft2_inplace(b)
display_func(b)
b = af.fft2_r2c(a)
c = af.fft2_c2r(b)
display_func(b)
display_func(c)
a = af.randu(4, 4, 2)
display_func(a)
display_func(af.fft3(a))
display_func(af.dft(a))
display_func(af.real(af.ifft3(af.fft3(a))))
display_func(af.real(af.idft(af.dft(a))))
b = af.fft3(a)
af.ifft3_inplace(b)
display_func(b)
af.fft3_inplace(b)
display_func(b)
b = af.fft3_r2c(a)
c = af.fft3_c2r(b)
display_func(b)
display_func(c)
a = af.randu(10, 1)
b = af.randu(3, 1)
display_func(af.convolve1(a, b))
display_func(af.fft_convolve1(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
a = af.randu(5, 5)
b = af.randu(3, 3)
display_func(af.convolve2(a, b))
display_func(af.fft_convolve2(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
a = af.randu(5, 5, 3)
b = af.randu(3, 3, 2)
display_func(af.convolve3(a, b))
display_func(af.fft_convolve3(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
b = af.randu(3, 1)
x = af.randu(10, 1)
a = af.randu(2, 1)
display_func(af.fir(b, x))
display_func(af.iir(b, a, x))
display_func(af.medfilt1(a))
display_func(af.medfilt2(a))
display_func(af.medfilt(a))
def simple_signal(verbose=False):
display_func = _util.display_func(verbose)
signal = af.randu(10)
x_new = af.randu(10)
x_orig = af.randu(10)
display_func(af.approx1(signal, x_new, xp=x_orig))
signal = af.randu(3, 3)
x_new = af.randu(3, 3)
x_orig = af.randu(3, 3)
y_new = af.randu(3, 3)
y_orig = af.randu(3, 3)
display_func(af.approx2(signal, x_new, y_new, xp=x_orig, yp=y_orig))
a = af.randu(8, 1)
display_func(a)
display_func(af.fft(a))
display_func(af.dft(a))
display_func(af.real(af.ifft(af.fft(a))))
display_func(af.real(af.idft(af.dft(a))))
b = af.fft(a)
af.ifft_inplace(b)
display_func(b)
af.fft_inplace(b)
display_func(b)
b = af.fft_r2c(a)
c = af.fft_c2r(b)
display_func(b)
display_func(c)
a = af.randu(4, 4)
display_func(a)
display_func(af.fft2(a))
display_func(af.dft(a))
display_func(af.real(af.ifft2(af.fft2(a))))
display_func(af.real(af.idft(af.dft(a))))
b = af.fft2(a)
af.ifft2_inplace(b)
display_func(b)
af.fft2_inplace(b)
display_func(b)
b = af.fft2_r2c(a)
c = af.fft2_c2r(b)
display_func(b)
display_func(c)
a = af.randu(4, 4, 2)
display_func(a)
display_func(af.fft3(a))
display_func(af.dft(a))
display_func(af.real(af.ifft3(af.fft3(a))))
display_func(af.real(af.idft(af.dft(a))))
b = af.fft3(a)
af.ifft3_inplace(b)
display_func(b)
af.fft3_inplace(b)
display_func(b)
b = af.fft3_r2c(a)
c = af.fft3_c2r(b)
display_func(b)
display_func(c)
a = af.randu(10, 1)
b = af.randu(3, 1)
display_func(af.convolve1(a, b))
display_func(af.fft_convolve1(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
a = af.randu(5, 5)
b = af.randu(3, 3)
display_func(af.convolve2(a, b))
display_func(af.fft_convolve2(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
c = af.convolve2NN(a, b)
display_func(c)
in_dims = c.dims()
incoming_grad = af.constant(1, in_dims[0], in_dims[1])
g = af.convolve2GradientNN(incoming_grad, a, b, c)
display_func(g)
a = af.randu(5, 5, 3)
b = af.randu(3, 3, 2)
display_func(af.convolve3(a, b))
display_func(af.fft_convolve3(a, b))
display_func(af.convolve(a, b))
display_func(af.fft_convolve(a, b))
b = af.randu(3, 1)
x = af.randu(10, 1)
a = af.randu(2, 1)
display_func(af.fir(b, x))
display_func(af.iir(b, a, x))
display_func(af.medfilt1(a))
display_func(af.medfilt2(a))
display_func(af.medfilt(a))
