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signal.py
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217 lines (160 loc) · 6.17 KB
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#######################################################
# Copyright (c) 2015, ArrayFire
# All rights reserved.
#
# This file is distributed under 3-clause BSD license.
# The complete license agreement can be obtained at:
# http://arrayfire.com/licenses/BSD-3-Clause
########################################################
from .library import *
from .array import *
def approx1(signal, pos0, method=AF_INTERP_LINEAR, off_grid=0.0):
output = array()
safe_call(clib.af_approx1(ct.pointer(output.arr), signal.arr, pos0.arr,\
method, ct.c_double(off_grid)))
return output
def approx2(signal, pos0, pos1, method=AF_INTERP_LINEAR, off_grid=0.0):
output = array()
safe_call(clib.af_approx2(ct.pointer(output.arr), signal.arr, \
pos0.arr, pos1.arr, method, ct.c_double(off_grid)))
return output
def fft(signal, dim0 = None , scale = None):
if dim0 is None:
dim0 = 0
if scale is None:
scale = 1.0
output = array()
safe_call(clib.af_fft(ct.pointer(output.arr), signal.arr, ct.c_double(scale), ct.c_longlong(dim0)))
return output
def fft2(signal, dim0 = None, dim1 = None , scale = None):
if dim0 is None:
dim0 = 0
if dim1 is None:
dim1 = 0
if scale is None:
scale = 1.0
output = array()
safe_call(clib.af_fft2(ct.pointer(output.arr), signal.arr, ct.c_double(scale),\
ct.c_longlong(dim0), ct.c_longlong(dim1)))
return output
def fft3(signal, dim0 = None, dim1 = None , dim2 = None, scale = None):
if dim0 is None:
dim0 = 0
if dim1 is None:
dim1 = 0
if dim2 is None:
dim2 = 0
if scale is None:
scale = 1.0
output = array()
safe_call(clib.af_fft3(ct.pointer(output.arr), signal.arr, ct.c_double(scale),\
ct.c_longlong(dim0), ct.c_longlong(dim1), ct.c_longlong(dim2)))
return output
def ifft(signal, dim0 = None , scale = None):
if dim0 is None:
dim0 = signal.dims()[0]
if scale is None:
scale = 1.0/float(dim0)
output = array()
safe_call(clib.af_ifft(ct.pointer(output.arr), signal.arr, ct.c_double(scale), ct.c_longlong(dim0)))
return output
def ifft2(signal, dim0 = None, dim1 = None , scale = None):
dims = signal.dims()
if (len(dims) < 2):
return ifft(signal)
if dim0 is None:
dim0 = dims[0]
if dim1 is None:
dim1 = dims[1]
if scale is None:
scale = 1.0/float(dim0 * dim1)
output = array()
safe_call(clib.af_ifft2(ct.pointer(output.arr), signal.arr, ct.c_double(scale),\
ct.c_longlong(dim0), ct.c_longlong(dim1)))
return output
def ifft3(signal, dim0 = None, dim1 = None , dim2 = None, scale = None):
dims = signal.dims()
if (len(dims) < 3):
return ifft2(signal)
if dim0 is None:
dim0 = dims[0]
if dim1 is None:
dim1 = dims[1]
if dim2 is None:
dim2 = dims[2]
if scale is None:
scale = 1.0 / float(dim0 * dim1 * dim2)
output = array()
safe_call(clib.af_ifft3(ct.pointer(output.arr), signal.arr, ct.c_double(scale),\
ct.c_longlong(dim0), ct.c_longlong(dim1), ct.c_longlong(dim2)))
return output
def dft(signal, scale = None, odims=(None, None, None, None)):
odims4 = dim4_tuple(odims, default=None)
dims = signal.dims()
ndims = len(dims)
if (ndims == 1):
return fft(signal, scale, dims[0])
elif (ndims == 2):
return fft2(signal, scale, dims[0], dims[1])
else:
return fft3(signal, scale, dims[0], dims[1], dims[2])
def idft(signal, scale = None, odims=(None, None, None, None)):
odims4 = dim4_tuple(odims, default=None)
dims = signal.dims()
ndims = len(dims)
if (ndims == 1):
return ifft(signal, scale, dims[0])
elif (ndims == 2):
return ifft2(signal, scale, dims[0], dims[1])
else:
return ifft3(signal, scale, dims[0], dims[1], dims[2])
def convolve1(signal, kernel, conv_mode = AF_CONV_DEFAULT, conv_domain = AF_CONV_AUTO):
output = array()
safe_call(clib.af_convolve1(ct.pointer(output.arr), signal.arr, kernel.arr, conv_mode, conv_domain))
return output
def convolve2(signal, kernel, conv_mode = AF_CONV_DEFAULT, conv_domain = AF_CONV_AUTO):
output = array()
safe_call(clib.af_convolve2(ct.pointer(output.arr), signal.arr, kernel.arr, conv_mode, conv_domain))
return output
def convolve3(signal, kernel, conv_mode = AF_CONV_DEFAULT, conv_domain = AF_CONV_AUTO):
output = array()
safe_call(clib.af_convolve3(ct.pointer(output.arr), signal.arr, kernel.arr, conv_mode, conv_domain))
return output
def convolve(signal, kernel, conv_mode = AF_CONV_DEFAULT, conv_domain = AF_CONV_AUTO):
dims = signal.dims()
ndims = len(dims)
if (ndims == 1):
return convolve1(signal, kernel, conv_mode, conv_domain)
elif (ndims == 2):
return convolve2(signal, kernel, conv_mode, conv_domain)
else:
return convolve3(signal, kernel, conv_mode, conv_domain)
def fft_convolve1(signal, kernel, conv_mode = AF_CONV_DEFAULT):
output = array()
safe_call(clib.af_fft_convolve1(ct.pointer(output.arr), signal.arr, kernel.arr, conv_mode))
return output
def fft_convolve2(signal, kernel, conv_mode = AF_CONV_DEFAULT):
output = array()
safe_call(clib.af_fft_convolve2(ct.pointer(output.arr), signal.arr, kernel.arr, conv_mode))
return output
def fft_convolve3(signal, kernel, conv_mode = AF_CONV_DEFAULT):
output = array()
safe_call(clib.af_fft_convolve3(ct.pointer(output.arr), signal.arr, kernel.arr, conv_mode))
return output
def fft_convolve(signal, kernel, conv_mode = AF_CONV_DEFAULT):
dims = signal.dims()
ndims = len(dims)
if (ndims == 1):
return fft_convolve1(signal, kernel, conv_mode)
elif (ndims == 2):
return fft_convolve2(signal, kernel, conv_mode)
else:
return fft_convolve3(signal, kernel, conv_mode)
def fir(B, X):
Y = array()
safe_call(clib.af_fir(ct.pointer(Y.arr), B.arr, X.arr))
return Y
def iir(B, A, X):
Y = array()
safe_call(clib.af_iir(ct.pointer(Y.arr), B.arr, A.arr, X.arr))
return Y