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#
# Copyright 2008 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
#
from gnuradio import gr
from gnuradio import blocks
import sys, math
import fft_swig as fft
from fft_swig import window
try:
from gnuradio import filter
except ImportError:
sys.stderr.write('fft.logpwrfft required gr-filter.\n')
sys.exit(1)
class _logpwrfft_base(gr.hier_block2):
"""
Create a log10(abs(fft)) stream chain, with real or complex input.
"""
def __init__(self, sample_rate, fft_size, ref_scale, frame_rate, avg_alpha, average, win=None):
"""
Create an log10(abs(fft)) stream chain.
Provide access to the setting the filter and sample rate.
Args:
sample_rate: Incoming stream sample rate
fft_size: Number of FFT bins
ref_scale: Sets 0 dB value input amplitude
frame_rate: Output frame rate
avg_alpha: FFT averaging (over time) constant [0.0-1.0]
average: Whether to average [True, False]
win: the window taps generation function
"""
gr.hier_block2.__init__(self, self._name,
gr.io_signature(1, 1, self._item_size), # Input signature
gr.io_signature(1, 1, gr.sizeof_float*fft_size)) # Output signature
self._sd = blocks.stream_to_vector_decimator(item_size=self._item_size,
sample_rate=sample_rate,
vec_rate=frame_rate,
vec_len=fft_size)
if win is None: win = window.blackmanharris
fft_window = win(fft_size)
fft = self._fft_block[0](fft_size, True, fft_window)
window_power = sum(map(lambda x: x*x, fft_window))
c2magsq = blocks.complex_to_mag_squared(fft_size)
self._avg = filter.single_pole_iir_filter_ff(1.0, fft_size)
self._log = blocks.nlog10_ff(10, fft_size,
-20*math.log10(fft_size) # Adjust for number of bins
-10*math.log10(window_power/fft_size) # Adjust for windowing loss
-20*math.log10(ref_scale/2)) # Adjust for reference scale
self.connect(self, self._sd, fft, c2magsq, self._avg, self._log, self)
self._average = average
self._avg_alpha = avg_alpha
self.set_avg_alpha(avg_alpha)
self.set_average(average)
def set_decimation(self, decim):
"""
Set the decimation on stream decimator.
Args:
decim: the new decimation
"""
self._sd.set_decimation(decim)
def set_vec_rate(self, vec_rate):
"""
Set the vector rate on stream decimator.
Args:
vec_rate: the new vector rate
"""
self._sd.set_vec_rate(vec_rate)
def set_sample_rate(self, sample_rate):
"""
Set the new sampling rate
Args:
sample_rate: the new rate
"""
self._sd.set_sample_rate(sample_rate)
def set_average(self, average):
"""
Set the averaging filter on/off.
Args:
average: true to set averaging on
"""
self._average = average
if self._average:
self._avg.set_taps(self._avg_alpha)
else:
self._avg.set_taps(1.0)
def set_avg_alpha(self, avg_alpha):
"""
Set the average alpha and set the taps if average was on.
Args:
avg_alpha: the new iir filter tap
"""
self._avg_alpha = avg_alpha
self.set_average(self._average)
def sample_rate(self):
"""
Return the current sample rate.
"""
return self._sd.sample_rate()
def decimation(self):
"""
Return the current decimation.
"""
return self._sd.decimation()
def frame_rate(self):
"""
Return the current frame rate.
"""
return self._sd.frame_rate()
def average(self):
"""
Return whether or not averaging is being performed.
"""
return self._average
def avg_alpha(self):
"""
Return averaging filter constant.
"""
return self._avg_alpha
class logpwrfft_f(_logpwrfft_base):
"""
Create an fft block chain, with real input.
"""
_name = "logpwrfft_f"
_item_size = gr.sizeof_float
_fft_block = (fft.fft_vfc, )
class logpwrfft_c(_logpwrfft_base):
"""
Create an fft block chain, with complex input.
"""
_name = "logpwrfft_c"
_item_size = gr.sizeof_gr_complex
_fft_block = (fft.fft_vcc, )
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