sampling: add documentation

This commit is contained in:
Roman Zeyde
2015-01-10 11:55:24 +02:00
parent 2bb4956439
commit 2ee79870c5

View File

@@ -6,43 +6,51 @@ from amodem import common
class Interpolator(object):
def __init__(self, resolution=10000, width=128):
def __init__(self, resolution=1024, width=128):
self.width = width
self.resolution = resolution
N = resolution * width
u = np.arange(-N, N, dtype=float)
window = (1 + np.cos(0.5 * np.pi * u / N)) / 2.0
window = (1 + np.cos(0.5 * np.pi * u / N)) / 2.0 # (Hann window)
h = np.sinc(u / resolution) * window
self.filt = []
for index in range(resolution): # split into multiphase filters
filt = h[index::resolution]
filt = filt[::-1]
filt = filt[::-1] # flip (due to convolution)
self.filt.append(filt)
lengths = [len(f) for f in self.filt]
self.coeff_len = 2*width
assert set(lengths) == set([self.coeff_len])
self.coeff_len = 2 * width
assert set(lengths) == set([self.coeff_len]) # verify same lengths
assert len(self.filt) == resolution
class Sampler(object):
def __init__(self, src, interp=None):
self.freq = 1.0
self.equalizer = lambda x: x
self.freq = 1.0 # normalized
self.equalizer = lambda x: x # LTI equalization filter
if interp is not None:
self.interp = interp
self.resolution = self.interp.resolution
self.filt = self.interp.filt
self.width = self.interp.width
# TODO: explain indices arithmetic
# polyphase filters are centered at (width + 1) index
padding = [0.0] * self.interp.width
# pad with zeroes to "simulate" regular sampling
self.src = itertools.chain(padding, src)
self.offset = self.interp.width + 1
# samples' buffer to be used by interpolation
self.buff = np.zeros(self.interp.coeff_len)
self.index = 0
self.take = self._take
else:
# skip interpolation
# skip interpolation (for testing)
src = iter(src)
self.take = lambda size: common.take(src, size)
@@ -55,14 +63,16 @@ class Sampler(object):
# offset = k + (j / self.resolution)
k = int(offset) # integer part
j = int((offset - k) * self.resolution) # fractional part
coeffs = self.filt[j]
coeffs = self.filt[j] # choose correct filter phase
end = k + self.width
# process input until all buffer is full with samples
while self.index < end:
self.buff[:-1] = self.buff[1:]
self.buff[-1] = next(self.src) # throws StopIteration
self.index += 1
self.offset += self.freq
# apply interpolation filter
frame[frame_index] = np.dot(coeffs, self.buff)
count = frame_index + 1
except StopIteration: