waterfallsink2.py

这是用python语言写的一个数字广播的信号处理工具包。利用它

#!/usr/bin/env python
#
# Copyright 2003,2004,2005,2007,2008 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, gru, window
from gnuradio.wxgui import stdgui2
import wx
import gnuradio.wxgui.plot as plot
import numpy
import os
import threading
import math    

default_fftsink_size = (640,240)
default_fft_rate = gr.prefs().get_long('wxgui', 'fft_rate', 15)

class waterfall_sink_base(object):
    def __init__(self, input_is_real=False, baseband_freq=0,
                 sample_rate=1, fft_size=512,
                 fft_rate=default_fft_rate,
                 average=False, avg_alpha=None, title=''):

        # initialize common attributes
        self.baseband_freq = baseband_freq
        self.sample_rate = sample_rate
        self.fft_size = fft_size
        self.fft_rate = fft_rate
        self.average = average
        if avg_alpha is None:
            self.avg_alpha = 2.0 / fft_rate
        else:
            self.avg_alpha = avg_alpha
        self.title = title
        self.input_is_real = input_is_real
        self.msgq = gr.msg_queue(2)         # queue up to 2 messages

    def set_average(self, average):
        self.average = average
        if average:
            self.avg.set_taps(self.avg_alpha)
        else:
            self.avg.set_taps(1.0)

    def set_avg_alpha(self, avg_alpha):
        self.avg_alpha = avg_alpha

    def set_baseband_freq(self, baseband_freq):
        self.baseband_freq = baseband_freq

    def set_sample_rate(self, sample_rate):
        self.sample_rate = sample_rate
        self._set_n()

    def _set_n(self):
        self.one_in_n.set_n(max(1, int(self.sample_rate/self.fft_size/self.fft_rate)))
        
class waterfall_sink_f(gr.hier_block2, waterfall_sink_base):
    def __init__(self, parent, baseband_freq=0,
                 y_per_div=10, ref_level=50, sample_rate=1, fft_size=512,
                 fft_rate=default_fft_rate, average=False, avg_alpha=None,
                 title='', size=default_fftsink_size):

        gr.hier_block2.__init__(self, "waterfall_sink_f",
                                gr.io_signature(1, 1, gr.sizeof_float),
                                gr.io_signature(0,0,0))

        waterfall_sink_base.__init__(self, input_is_real=True, baseband_freq=baseband_freq,
                               sample_rate=sample_rate, fft_size=fft_size,
                               fft_rate=fft_rate,
                               average=average, avg_alpha=avg_alpha, title=title)
                               
        self.s2p = gr.serial_to_parallel(gr.sizeof_float, self.fft_size)
        self.one_in_n = gr.keep_one_in_n(gr.sizeof_float * self.fft_size,
                                         max(1, int(self.sample_rate/self.fft_size/self.fft_rate)))
        
        mywindow = window.blackmanharris(self.fft_size)
        self.fft = gr.fft_vfc(self.fft_size, True, mywindow)
        self.c2mag = gr.complex_to_mag(self.fft_size)
        self.avg = gr.single_pole_iir_filter_ff(1.0, self.fft_size)
        self.log = gr.nlog10_ff(20, self.fft_size, -20*math.log10(self.fft_size))
        self.sink = gr.message_sink(gr.sizeof_float * self.fft_size, self.msgq, True)
	self.connect(self, self.s2p, self.one_in_n, self.fft, self.c2mag, self.avg, self.log, self.sink)

        self.win = waterfall_window(self, parent, size=size)
        self.set_average(self.average)


class waterfall_sink_c(gr.hier_block2, waterfall_sink_base):
    def __init__(self, parent, baseband_freq=0,
                 y_per_div=10, ref_level=50, sample_rate=1, fft_size=512,
                 fft_rate=default_fft_rate, average=False, avg_alpha=None, 
                 title='', size=default_fftsink_size):

        gr.hier_block2.__init__(self, "waterfall_sink_f",
                                gr.io_signature(1, 1, gr.sizeof_gr_complex),
                                gr.io_signature(0,0,0))

        waterfall_sink_base.__init__(self, input_is_real=False, baseband_freq=baseband_freq,
                                     sample_rate=sample_rate, fft_size=fft_size,
                                     fft_rate=fft_rate,
                                     average=average, avg_alpha=avg_alpha, title=title)

        self.s2p = gr.serial_to_parallel(gr.sizeof_gr_complex, self.fft_size)
        self.one_in_n = gr.keep_one_in_n(gr.sizeof_gr_complex * self.fft_size,
                                         max(1, int(self.sample_rate/self.fft_size/self.fft_rate)))
        
        mywindow = window.blackmanharris(self.fft_size)
        self.fft = gr.fft_vcc(self.fft_size, True, mywindow)
        self.c2mag = gr.complex_to_mag(self.fft_size)
        self.avg = gr.single_pole_iir_filter_ff(1.0, self.fft_size)
        self.log = gr.nlog10_ff(20, self.fft_size, -20*math.log10(self.fft_size))
        self.sink = gr.message_sink(gr.sizeof_float * self.fft_size, self.msgq, True)
	self.connect(self, self.s2p, self.one_in_n, self.fft, self.c2mag, self.avg, self.log, self.sink)

        self.win = waterfall_window(self, parent, size=size)
        self.set_average(self.average)


# ------------------------------------------------------------------------

myDATA_EVENT = wx.NewEventType()
EVT_DATA_EVENT = wx.PyEventBinder (myDATA_EVENT, 0)


class DataEvent(wx.PyEvent):
    def __init__(self, data):
        wx.PyEvent.__init__(self)
        self.SetEventType (myDATA_EVENT)
        self.data = data

    def Clone (self): 
        self.__class__ (self.GetId())


class input_watcher (threading.Thread):
    def __init__ (self, msgq, fft_size, event_receiver, **kwds):
        threading.Thread.__init__ (self, **kwds)
        self.setDaemon (1)
        self.msgq = msgq
        self.fft_size = fft_size
        self.event_receiver = event_receiver
        self.keep_running = True
        self.start ()

    def run (self):
        while (self.keep_running):
            msg = self.msgq.delete_head()  # blocking read of message queue
            itemsize = int(msg.arg1())
            nitems = int(msg.arg2())

            s = msg.to_string()            # get the body of the msg as a string

            # There may be more than one FFT frame in the message.
            # If so, we take only the last one
            if nitems > 1:
                start = itemsize * (nitems - 1)
                s = s[start:start+itemsize]

            complex_data = numpy.fromstring (s, numpy.float32)
            de = DataEvent (complex_data)
            wx.PostEvent (self.event_receiver, de)
            del de
    

class waterfall_window (wx.Panel):
    def __init__ (self, fftsink, parent, id = -1,
                  pos = wx.DefaultPosition, size = wx.DefaultSize,
                  style = wx.DEFAULT_FRAME_STYLE, name = ""):
        wx.Panel.__init__(self, parent, id, pos, size, style, name)

        self.fftsink = fftsink
        self.bm = wx.EmptyBitmap(self.fftsink.fft_size, 300, -1)

        self.scale_factor = 5.0           # FIXME should autoscale, or set this
        
        dc1 = wx.MemoryDC()
        dc1.SelectObject(self.bm)
        dc1.Clear()

        self.pens = self.make_pens()

        wx.EVT_PAINT( self, self.OnPaint )
        wx.EVT_CLOSE (self, self.on_close_window)
        EVT_DATA_EVENT (self, self.set_data)
        
        self.build_popup_menu()
        
        wx.EVT_CLOSE (self, self.on_close_window)
        self.Bind(wx.EVT_RIGHT_UP, self.on_right_click)

        self.input_watcher = input_watcher(fftsink.msgq, fftsink.fft_size, self)


    def on_close_window (self, event):
        print "waterfall_window: on_close_window"
        self.keep_running = False

    def const_list(self,const,len):
        return [const] * len

    def make_colormap(self):