本文整理匯總了Python中gnuradio.filter.freq_xlating_fir_filter_ccc方法的典型用法代碼示例。如果您正苦於以下問題：Python filter.freq_xlating_fir_filter_ccc方法的具體用法？Python filter.freq_xlating_fir_filter_ccc怎麽用？Python filter.freq_xlating_fir_filter_ccc使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類gnuradio.filter的用法示例。
在下文中一共展示了filter.freq_xlating_fir_filter_ccc方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: create_update_freq_xlating_fir_filter
# 需要導入模塊: from gnuradio import filter [as 別名]
# 或者: from gnuradio.filter import freq_xlating_fir_filter_ccc [as 別名]
def create_update_freq_xlating_fir_filter(self):
if self.sample_rate != None:
self.update_offset_values()
if self.mode == self.main.MODE_WFM:
rate = self.if_sample_rate
else:
rate = self.audio_rate
fir_taps = firdes.complex_band_pass(1, rate, -rate/2, rate/2,rate/2)
if self.freq_xlating_fir_filter == None:
self.freq_xlating_fir_filter = filter.freq_xlating_fir_filter_ccc(1, (fir_taps), self.compute_offset_f(False), rate)
else:
self.freq_xlating_fir_filter.set_taps(fir_taps)
self.freq_xlating_fir_filter.set_center_freq(self.compute_offset_f(False)) 示例2: __init__
# 需要導入模塊: from gnuradio import filter [as 別名]
# 或者: from gnuradio.filter import freq_xlating_fir_filter_ccc [as 別名]
def __init__(self, samp_rate_in, samp_rate_out, center_freq,
tune_freq, channel_width, transition_width, threshold,
iq_filename, dig_out_filename):
gr.top_block.__init__(self)
##################################################
# Variables
##################################################
self.cutoff_freq = channel_width/2
self.firdes_taps = firdes.low_pass(1, samp_rate_in,
self.cutoff_freq,
transition_width)
##################################################
# Blocks
##################################################
self.tuning_filter_0 = filter.freq_xlating_fir_filter_ccc(int(samp_rate_in/samp_rate_out),
(self.firdes_taps),
tune_freq-center_freq,
samp_rate_in)
self.digital_binary_slicer_fb_0 = digital.binary_slicer_fb()
self.blocks_file_source_0 = blocks.file_source(gr.sizeof_gr_complex*1, iq_filename, False)
self.blocks_complex_to_mag_0 = blocks.complex_to_mag(1)
self.blocks_add_const_vxx_0 = blocks.add_const_vff((-1*threshold, ))
# message sink is primary method of getting baseband data into waveconverter
self.sink_queue = gr.msg_queue()
self.blocks_message_sink_0 = blocks.message_sink(gr.sizeof_char*1, self.sink_queue, False)
# if directed, we also dump the baseband data into a file
if len(dig_out_filename) > 0:
print "Outputing baseband to waveform to " + dig_out_filename
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_char*1, dig_out_filename, False)
self.blocks_file_sink_0.set_unbuffered(False)
##################################################
# Connections
##################################################
self.connect((self.blocks_add_const_vxx_0, 0), (self.digital_binary_slicer_fb_0, 0))
self.connect((self.blocks_complex_to_mag_0, 0), (self.blocks_add_const_vxx_0, 0))
self.connect((self.blocks_file_source_0, 0), (self.tuning_filter_0, 0))
self.connect((self.tuning_filter_0, 0), (self.blocks_complex_to_mag_0, 0))
self.connect((self.digital_binary_slicer_fb_0, 0), (self.blocks_message_sink_0, 0))
if len(dig_out_filename) > 0:
self.connect((self.digital_binary_slicer_fb_0, 0), (self.blocks_file_sink_0, 0))
##############################################################
# This flowgraph consists of the following blocks:
# - a File Source that
# - a Frequency Translating FIR filter that tunes to the target signal
# - a quadrature demod block that demodules the FSK signal
# - an Add Const block that shifts the demodulated signal downwards, centering
# it around zero on the y-axis
# - a Binary Slicer that converts centered signal from floating point to binary
# - a File Sink that outputs