#!/usr/bin/env python
#
# Copyright 2003,2004,2005,2006,2007 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 threading
import math
default_fftsink_size = (640,240)
default_fft_rate = gr.prefs().get_long('wxgui', 'fft_rate', 15)
class fft_sink_base(object):
def __init__(self, input_is_real=False, 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='', peak_hold=False):
# initialize common attributes
self.baseband_freq = baseband_freq
self.y_divs = 8
self.y_per_div=y_per_div
self.ref_level = ref_level
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.peak_hold = peak_hold
self.input_is_real = input_is_real
self.msgq = gr.msg_queue(2) # queue that holds a maximum of 2 messages
def set_y_per_div(self, y_per_div):
self.y_per_div = y_per_div
def set_ref_level(self, ref_level):
self.ref_level = ref_level
def set_average(self, average):
self.average = average
if average:
self.avg.set_taps(self.avg_alpha)
self.set_peak_hold(False)
else:
self.avg.set_taps(1.0)
def set_peak_hold(self, enable):
self.peak_hold = enable
if enable:
self.set_average(False)
self.win.set_peak_hold(enable)
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 fft_sink_f(gr.hier_block2, fft_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, peak_hold=False):
gr.hier_block2.__init__(self, "fft_sink_f",
gr.io_signature(1, 1, gr.sizeof_float),
gr.io_signature(0,0,0))
fft_sink_base.__init__(self, input_is_real=True, baseband_freq=baseband_freq,
y_per_div=y_per_div, ref_level=ref_level,
sample_rate=sample_rate, fft_size=fft_size,
fft_rate=fft_rate,
average=average, avg_alpha=avg_alpha, title=title,
peak_hold=peak_hold)
self.s2p = gr.stream_to_vector(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)
power = 0
for tap in mywindow:
power += tap*tap
self.c2mag = gr.complex_to_mag(self.fft_size)
self.avg = gr.single_pole_iir_filter_ff(1.0, self.fft_size)
# FIXME We need to add 3dB to all bins but the DC bin
self.log = gr.nlog10_ff(20, self.fft_size,
-20*math.log10(self.fft_size)-10*math.log10(power/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 = fft_window(self, parent, size=size)
self.set_average(self.average)
class fft_sink_c(gr.hier_block2, fft_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, peak_hold=False):
gr.hier_block2.__init__(self, "fft_sink_c",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(0,0,0))
fft_sink_base.__init__(self, input_is_real=False, baseband_freq=baseband_freq,
y_per_div=y_per_div, ref_level=ref_level,
sample_rate=sample_rate, fft_size=fft_size,
fft_rate=fft_rate,
average=average, avg_alpha=avg_alpha, title=title,
peak_hold=peak_hold)
self.s2p = gr.stream_to_vector(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)
power = 0
for tap in mywindow:
power += tap*tap
self.c2mag = gr.complex_to_mag(self.fft_size)
self.avg = gr.single_pole_iir_filter_ff(1.0, self.fft_size)
# FIXME We need to add 3dB to all bins but the DC bin
self.log = gr.nlog10_ff(20, self.fft_size,
-20*math.log10(self.fft_size)-10*math.log10(power/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 = fft_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 fft_window (plot.PlotCanvas):
def __init__ (self, fftsink, parent, id = -1,
pos = wx.DefaultPosition, size = wx.DefaultSize,
style = wx.DEFAULT_FRAME_STYLE, name = ""):
plot.PlotCanvas.__init__ (self, parent, id, pos, size, style, name)
self.y_range = None
self.fftsink = fftsink
self.peak_hold = False
self.peak_vals = None
self.SetEnableGrid (True)
# self.SetEnableZoom (True)
# self.SetBackgroundColour ('black')
self.build_popup_menu()
self.set_baseband_freq(0.0)
EVT_DATA_EVENT (self, self.set_data)
wx.EVT_CLOSE (self, self.on_close_window)
self.Bind(wx.EVT_RIGHT_UP, self.on_right_click)
self.Bind(wx.EVT_MOTION, self.evt_motion)
self.input_watcher = input_watcher(fftsink.msgq, fftsink.fft_size, self)
def set_scale(self, freq):
x = max(abs(self.fftsink.sample_rate), abs(self.fftsink.baseband_freq))
if x >= 1e9:
self._scale_factor = 1e-9
self._units = "GHz"
self._format = "%3.6f"
elif x >= 1e6:
self._scale_factor = 1e-6
self._units = "MHz"
self._format = "%3.3f"
else:
self._scale_factor = 1e-3
self._units = "kHz"
self._format = "%3.3f"
def set_baseband_freq(self, baseband_freq):
if self.peak_hold:
self.peak_vals = None
self.set_scale(baseband_freq)
self.fftsink.set_baseband_freq(baseband_freq)
def on_close_window (self, event):
print "fft_window:on_close_window"
self.keep_running = False
def set_data (self, evt):
dB = evt.data
L = len (dB)
if self.peak_hold:
if self.peak_vals is None:
self.peak_vals = dB
else:
self.peak_vals = numpy.maximum(dB, self.peak_vals)
dB = self.peak_vals
if self.fftsink.input_is_real: # only plot 1/2 the points
x_vals = ((numpy.arange (L/2) * (self.fftsink.sample_rate
* self._scale_factor / L))
+ self.fftsink.baseband_freq * self._scale_factor)
self._points = numpy.zeros((len(x_vals), 2), numpy.float64)
self._points[:,0] = x_vals
self._points[:,1] = dB[0:L/2]
else:
# the "negative freqs" are in the second half of the array
x_vals = ((numpy.arange (-L/2, L/2)
* (self.fftsink.sample_rate * self._scale_factor / L))
+ self.fftsink.baseband_freq * self._scale_factor)
self._points = numpy.zeros((len(x_vals), 2), numpy.float64)
self._points[:,0] = x_vals
self._points[:,1] = numpy.concatenate ((dB[L/2:], dB[0:L/2]))
lines = plot.PolyLine (self._points, colour='BLUE')
graphics = plot.PlotGraphics ([lines],
title=self.fftsink.title,
xLabel = self._units, yLabel = "dB")
self.Draw (graphics, xAxis=None, yAxis=self.y_range)
self.update_y_range ()
def set_peak_hold(self, enable):
self.peak_hold = enable
self.peak_vals = None
def update_y_range (self):
ymax = self.fftsink.ref_level
ymin = self.fftsink.ref_level - self.fftsink.y_per_div * self.fftsink.y_divs
self.y_range = self._axisInterval ('min', ymin, ymax)
def on_average(self, evt):
# print "on_average"
self.fftsink.set_average(evt.IsChecked())
def on_peak_hold(self, evt):
# print "on_peak_hold"
self.fftsink.set_peak_hold(evt.IsChecked())
def on_incr_ref_level(self, evt):
# print "on_incr_ref_level"
self.fftsink.set_ref_level(self.fftsink.ref_level
+ self.fftsink.y_per_div)
def on_decr_ref_level(self, evt):
# print "on_decr_ref_level"
self.fftsink.set_ref_level(self.fftsink.ref_level
- self.fftsink.y_per_div)
def on_incr_y_per_div(self, evt):
# print "on_incr_y_per_div"
self.fftsink.set_y_per_div(next_up(self.fftsink.y_per_div, (1,2,5,10,20)))
def on_decr_y_per_div(self, evt):
# print "on_decr_y_per_div"
self.fftsink.set_y_per_div(next_down(self.fftsink.y_per_div, (1,2,5,10,20)))
def on_y_per_div(self, evt):
# print "on_y_per_div"
Id = evt.GetId()
if Id == self.id_y_per_div_1:
self.fftsink.set_y_per_div(1)
elif Id == self.id_y_per_div_2:
self.fftsink.set_y_per_div(2)
elif Id == self.id_y_per_div_5:
self.fftsink.set_y_per_div(5)
elif Id == self.id_y_per_div_10:
self.fftsink.set_y_per_div(10)
elif Id == self.id_y_per_div_20:
self.fftsink.set_y_per_div(20)
def on_right_click(self, event):
menu = self.popup_menu
for id, pred in self.checkmarks.items():
item = menu.FindItemById(id)
item.Check(pred())
self.PopupMenu(menu, event.GetPosition())
def evt_motion(self, event):
# Clip to plotted values
(ux, uy) = self.GetXY(event) # Scaled position
x_vals = numpy.array(self._points[:,0])
if ux < x_vals[0] or ux > x_vals[-1]:
tip = self.GetToolTip()
if tip:
tip.Enable(False)
return
# Get nearest X value (is there a better way)?
ind = numpy.argmin(numpy.abs(x_vals-ux))
x_val = x_vals[ind]
db_val = self._points[ind, 1]
text = (self._format+" %s dB=%3.3f") % (x_val, self._units, db_val)
# Display the tooltip
tip = wx.ToolTip(text)
tip.Enable(True)
tip.SetDelay(0)
self.SetToolTip(tip)
def build_popup_menu(self):
self.id_incr_ref_level = wx.NewId()
self.id_decr_ref_level = wx.NewId()
self.id_incr_y_per_div = wx.NewId()
self.id_decr_y_per_div = wx.NewId()
self.id_y_per_div_1 = wx.NewId()
self.id_y_per_div_2 = wx.NewId()
self.id_y_per_div_5 = wx.NewId()
self.id_y_per_div_10 = wx.NewId()
self.id_y_per_div_20 = wx.NewId()
self.id_average = wx.NewId()
self.id_peak_hold = wx.NewId()
self.Bind(wx.EVT_MENU, self.on_average, id=self.id_average)
self.Bind(wx.EVT_MENU, self.on_peak_hold, id=self.id_peak_hold)
self.Bind(wx.EVT_MENU, self.on_incr_ref_level, id=self.id_incr_ref_level)
self.Bind(wx.EVT_MENU, self.on_decr_ref_level, id=self.id_decr_ref_level)
self.Bind(wx.EVT_MENU, self.on_incr_y_per_div, id=self.id_incr_y_per_div)
self.Bind(wx.EVT_MENU, self.on_decr_y_per_div, id=self.id_decr_y_per_div)
self.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_1)
self.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_2)
self.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_5)
self.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_10)
self.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_20)
# make a menu
menu = wx.Menu()
self.popup_menu = menu
menu.AppendCheckItem(self.id_average, "Average")
menu.AppendCheckItem(self.id_peak_hold, "Peak Hold")
menu.Append(self.id_incr_ref_level, "Incr Ref Level")
menu.Append(self.id_decr_ref_level, "Decr Ref Level")
# menu.Append(self.id_incr_y_per_div, "Incr dB/div")
# menu.Append(self.id_decr_y_per_div, "Decr dB/div")
menu.AppendSeparator()
# we'd use RadioItems for these, but they're not supported on Mac
menu.AppendCheckItem(self.id_y_per_div_1, "1 dB/div")
menu.AppendCheckItem(self.id_y_per_div_2, "2 dB/div")
menu.AppendCheckItem(self.id_y_per_div_5, "5 dB/div")
menu.AppendCheckItem(self.id_y_per_div_10, "10 dB/div")
menu.AppendCheckItem(self.id_y_per_div_20, "20 dB/div")
self.checkmarks = {
self.id_average : lambda : self.fftsink.average,
self.id_peak_hold : lambda : self.fftsink.peak_hold,
self.id_y_per_div_1 : lambda : self.fftsink.y_per_div == 1,
self.id_y_per_div_2 : lambda : self.fftsink.y_per_div == 2,
self.id_y_per_div_5 : lambda : self.fftsink.y_per_div == 5,
self.id_y_per_div_10 : lambda : self.fftsink.y_per_div == 10,
self.id_y_per_div_20 : lambda : self.fftsink.y_per_div == 20,
}
def next_up(v, seq):
"""
Return the first item in seq that is > v.
"""
for s in seq:
if s > v:
return s
return v
def next_down(v, seq):
"""
Return the last item in seq that is < v.
"""
rseq = list(seq[:])
rseq.reverse()
for s in rseq:
if s < v:
return s
return v
# ----------------------------------------------------------------
# Standalone test app
# ----------------------------------------------------------------
class test_app_block (stdgui2.std_top_block):
def __init__(self, frame, panel, vbox, argv):
stdgui2.std_top_block.__init__ (self, frame, panel, vbox, argv)
fft_size = 256
# build our flow graph
input_rate = 20.48e3
# Generate a complex sinusoid
#src1 = gr.sig_source_c (input_rate, gr.GR_SIN_WAVE, 2e3, 1)
src1 = gr.sig_source_c (input_rate, gr.GR_CONST_WAVE, 5.75e3, 1)
# We add these throttle blocks so that this demo doesn't
# suck down all the CPU available. Normally you wouldn't use these.
thr1 = gr.throttle(gr.sizeof_gr_complex, input_rate)
sink1 = fft_sink_c (panel, title="Complex Data", fft_size=fft_size,
sample_rate=input_rate, baseband_freq=100e3,
ref_level=0, y_per_div=20)
vbox.Add (sink1.win, 1, wx.EXPAND)
self.connect(src1, thr1, sink1)
#src2 = gr.sig_source_f (input_rate, gr.GR_SIN_WAVE, 2e3, 1)
src2 = gr.sig_source_f (input_rate, gr.GR_CONST_WAVE, 5.75e3, 1)
thr2 = gr.throttle(gr.sizeof_float, input_rate)
sink2 = fft_sink_f (panel, title="Real Data", fft_size=fft_size*2,
sample_rate=input_rate, baseband_freq=100e3,
ref_level=0, y_per_div=20)
vbox.Add (sink2.win, 1, wx.EXPAND)
self.connect(src2, thr2, sink2)
def main ():
app = stdgui2.stdapp (test_app_block, "FFT Sink Test App")
app.MainLoop ()
if __name__ == '__main__':
main ()