From a80c0f4969a994655ccb18c55f8ce936abcc61f7 Mon Sep 17 00:00:00 2001
From: Ben Reynwar <ben@reynwar.net>
Date: Fri, 8 Mar 2013 20:30:47 -0700
Subject: wxgui: Enabling uninstalled python imports.
---
gr-wxgui/python/wxgui/fftsink_nongl.py | 640 +++++++++++++++++++++++++++++++++
1 file changed, 640 insertions(+)
create mode 100644 gr-wxgui/python/wxgui/fftsink_nongl.py
(limited to 'gr-wxgui/python/wxgui/fftsink_nongl.py')
diff --git a/gr-wxgui/python/wxgui/fftsink_nongl.py b/gr-wxgui/python/wxgui/fftsink_nongl.py
new file mode 100644
index 0000000000..73bc7f41b0
--- /dev/null
+++ b/gr-wxgui/python/wxgui/fftsink_nongl.py
@@ -0,0 +1,640 @@
+#!/usr/bin/env python
+#
+# Copyright 2003-2007,2009,2010,2012 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, fft, filter
+from gnuradio import blocks
+from gnuradio import analog
+from gnuradio.wxgui import stdgui2
+from gnuradio.filter import window
+import wx
+import plot
+import numpy
+import math
+
+DIV_LEVELS = (1, 2, 5, 10, 20)
+
+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,
+ y_divs=8, ref_level=50,
+ sample_rate=1, fft_size=512,
+ fft_rate=default_fft_rate,
+ average=False, avg_alpha=None, title='', peak_hold=False,use_persistence=False,persist_alpha=0.2):
+
+ # initialize common attributes
+ self.baseband_freq = baseband_freq
+ self.y_per_div=y_per_div
+ self.y_divs = y_divs
+ 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.use_persistence = use_persistence
+ self.persist_alpha = persist_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)
+ else:
+ self.avg.set_taps(1.0)
+ self.win.peak_vals = None
+
+ def set_peak_hold(self, enable):
+ self.peak_hold = enable
+ self.win.set_peak_hold(enable)
+
+ def set_use_persistence(self, enable):
+ self.use_persistence = enable
+ self.win.set_use_persistence(enable)
+
+ def set_persist_alpha(self, persist_alpha):
+ self.persist_alpha = persist_alpha
+ self.win.set_persist_alpha(persist_alpha)
+
+ 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, ref_scale=2.0,
+ y_per_div=10, y_divs=8, 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, use_persistence=False,persist_alpha=0.2, **kwargs):
+
+ 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, y_divs=y_divs, 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,use_persistence=use_persistence,persist_alpha=persist_alpha)
+
+ self.s2p = blocks.stream_to_vector(gr.sizeof_float, self.fft_size)
+ self.one_in_n = blocks.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 = fft.fft_vfc(self.fft_size, True, mywindow)
+ power = 0
+ for tap in mywindow:
+ power += tap*tap
+
+ self.c2mag = blocks.complex_to_mag(self.fft_size)
+ self.avg = filter.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 = blocks.nlog10_ff(20, self.fft_size,
+ -10*math.log10(self.fft_size) # Adjust for number of bins
+ -10*math.log10(power/self.fft_size) # Adjust for windowing loss
+ -20*math.log10(ref_scale/2)) # Adjust for reference scale
+
+ self.sink = blocks.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)
+ self.set_peak_hold(self.peak_hold)
+ self.set_use_persistence(self.use_persistence)
+ self.set_persist_alpha(self.persist_alpha)
+
+class fft_sink_c(gr.hier_block2, fft_sink_base):
+ def __init__(self, parent, baseband_freq=0, ref_scale=2.0,
+ y_per_div=10, y_divs=8, 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,
+ use_persistence=False, persist_alpha=0.2, **kwargs):
+
+ 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, y_divs=y_divs, 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, use_persistence=use_persistence,persist_alpha=persist_alpha)
+
+ self.s2p = blocks.stream_to_vector(gr.sizeof_gr_complex, self.fft_size)
+ self.one_in_n = blocks.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 = fft.fft_vcc(self.fft_size, True, mywindow)
+ power = 0
+ for tap in mywindow:
+ power += tap*tap
+
+ self.c2mag = blocks.complex_to_mag(self.fft_size)
+ self.avg = filter.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 = blocks.nlog10_ff(20, self.fft_size,
+ -10*math.log10(self.fft_size) # Adjust for number of bins
+ -10*math.log10(power/self.fft_size) # Adjust for windowing loss
+ -20*math.log10(ref_scale/2)) # Adjust for reference scale
+
+ self.sink = blocks.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)
+ self.set_use_persistence(self.use_persistence)
+ self.set_persist_alpha(self.persist_alpha)
+ self.set_peak_hold(self.peak_hold)
+
+
+# ------------------------------------------------------------------------
+
+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 (gru.msgq_runner):
+ def __init__ (self, msgq, fft_size, event_receiver, **kwds):
+ self.fft_size = fft_size
+ self.event_receiver = event_receiver
+ gru.msgq_runner.__init__(self, msgq, self.handle_msg)
+
+ def handle_msg(self, msg):
+ 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 control_panel(wx.Panel):
+
+ class LabelText(wx.StaticText):
+ def __init__(self, window, label):
+ wx.StaticText.__init__(self, window, -1, label)
+ font = self.GetFont()
+ font.SetWeight(wx.FONTWEIGHT_BOLD)
+ font.SetUnderlined(True)
+ self.SetFont(font)
+
+ def __init__(self, parent):
+ self.parent = parent
+ wx.Panel.__init__(self, parent, -1, style=wx.SIMPLE_BORDER)
+ control_box = wx.BoxSizer(wx.VERTICAL)
+
+ #checkboxes for average and peak hold
+ control_box.AddStretchSpacer()
+ control_box.Add(self.LabelText(self, 'Options'), 0, wx.ALIGN_CENTER)
+ self.average_check_box = wx.CheckBox(parent=self, style=wx.CHK_2STATE, label="Average")
+ self.average_check_box.Bind(wx.EVT_CHECKBOX, parent.on_average)
+ control_box.Add(self.average_check_box, 0, wx.EXPAND)
+ self.use_persistence_check_box = wx.CheckBox(parent=self, style=wx.CHK_2STATE, label="Persistence")
+ self.use_persistence_check_box.Bind(wx.EVT_CHECKBOX, parent.on_use_persistence)
+ control_box.Add(self.use_persistence_check_box, 0, wx.EXPAND)
+ self.peak_hold_check_box = wx.CheckBox(parent=self, style=wx.CHK_2STATE, label="Peak Hold")
+ self.peak_hold_check_box.Bind(wx.EVT_CHECKBOX, parent.on_peak_hold)
+ control_box.Add(self.peak_hold_check_box, 0, wx.EXPAND)
+
+ #radio buttons for div size
+ control_box.AddStretchSpacer()
+ control_box.Add(self.LabelText(self, 'Set dB/div'), 0, wx.ALIGN_CENTER)
+ radio_box = wx.BoxSizer(wx.VERTICAL)
+ self.radio_buttons = list()
+ for y_per_div in DIV_LEVELS:
+ radio_button = wx.RadioButton(self, -1, "%d dB/div"%y_per_div)
+ radio_button.Bind(wx.EVT_RADIOBUTTON, self.on_radio_button_change)
+ self.radio_buttons.append(radio_button)
+ radio_box.Add(radio_button, 0, wx.ALIGN_LEFT)
+ control_box.Add(radio_box, 0, wx.EXPAND)
+
+ #ref lvl buttons
+ control_box.AddStretchSpacer()
+ control_box.Add(self.LabelText(self, 'Adj Ref Lvl'), 0, wx.ALIGN_CENTER)
+ control_box.AddSpacer(2)
+ button_box = wx.BoxSizer(wx.HORIZONTAL)
+ self.ref_plus_button = wx.Button(self, -1, '+', style=wx.BU_EXACTFIT)
+ self.ref_plus_button.Bind(wx.EVT_BUTTON, parent.on_incr_ref_level)
+ button_box.Add(self.ref_plus_button, 0, wx.ALIGN_CENTER)
+ self.ref_minus_button = wx.Button(self, -1, ' - ', style=wx.BU_EXACTFIT)
+ self.ref_minus_button.Bind(wx.EVT_BUTTON, parent.on_decr_ref_level)
+ button_box.Add(self.ref_minus_button, 0, wx.ALIGN_CENTER)
+ control_box.Add(button_box, 0, wx.ALIGN_CENTER)
+ control_box.AddStretchSpacer()
+ #set sizer
+ self.SetSizerAndFit(control_box)
+ #update
+ self.update()
+
+ def update(self):
+ """
+ Read the state of the fft plot settings and update the control panel.
+ """
+ #update checkboxes
+ self.average_check_box.SetValue(self.parent.fftsink.average)
+ self.use_persistence_check_box.SetValue(self.parent.fftsink.use_persistence)
+ self.peak_hold_check_box.SetValue(self.parent.fftsink.peak_hold)
+ #update radio buttons
+ try:
+ index = list(DIV_LEVELS).index(self.parent.fftsink.y_per_div)
+ self.radio_buttons[index].SetValue(True)
+ except: pass
+
+ def on_radio_button_change(self, evt):
+ selected_radio_button = filter(lambda rb: rb.GetValue(), self.radio_buttons)[0]
+ index = self.radio_buttons.index(selected_radio_button)
+ self.parent.fftsink.set_y_per_div(DIV_LEVELS[index])
+
+class fft_window (wx.Panel):
+ def __init__ (self, fftsink, parent, id = -1,
+ pos = wx.DefaultPosition, size = wx.DefaultSize,
+ style = wx.DEFAULT_FRAME_STYLE, name = ""):
+
+ self.fftsink = fftsink
+ #init panel and plot
+ wx.Panel.__init__(self, parent, -1)
+ self.plot = plot.PlotCanvas(self, id, pos, size, style, name)
+ #setup the box with plot and controls
+ self.control_panel = control_panel(self)
+ main_box = wx.BoxSizer (wx.HORIZONTAL)
+ main_box.Add (self.plot, 1, wx.EXPAND)
+ main_box.Add (self.control_panel, 0, wx.EXPAND)
+ self.SetSizerAndFit(main_box)
+
+ self.peak_hold = False
+ self.peak_vals = None
+
+ self.use_persistence=False
+ self.persist_alpha=0.2
+
+
+ self.plot.SetEnableGrid (True)
+ # self.SetEnableZoom (True)
+ # self.SetBackgroundColour ('black')
+
+ self.build_popup_menu()
+ self.set_baseband_freq(self.fftsink.baseband_freq)
+
+ EVT_DATA_EVENT (self, self.set_data)
+ wx.EVT_CLOSE (self, self.on_close_window)
+ self.plot.Bind(wx.EVT_RIGHT_UP, self.on_right_click)
+ self.plot.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)
+
+ 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]
+ if self.peak_hold:
+ self._peak_points = numpy.zeros((len(x_vals), 2), numpy.float64)
+ self._peak_points[:,0] = x_vals
+ self._peak_points[:,1] = self.peak_vals[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]))
+ if self.peak_hold:
+ self._peak_points = numpy.zeros((len(x_vals), 2), numpy.float64)
+ self._peak_points[:,0] = x_vals
+ self._peak_points[:,1] = numpy.concatenate ((self.peak_vals[L/2:], self.peak_vals[0:L/2]))
+
+ lines = [plot.PolyLine (self._points, colour='BLUE'),]
+ if self.peak_hold:
+ lines.append(plot.PolyLine (self._peak_points, colour='GREEN'))
+
+ graphics = plot.PlotGraphics (lines,
+ title=self.fftsink.title,
+ xLabel = self._units, yLabel = "dB")
+ x_range = x_vals[0], x_vals[-1]
+ ymax = self.fftsink.ref_level
+ ymin = self.fftsink.ref_level - self.fftsink.y_per_div * self.fftsink.y_divs
+ y_range = ymin, ymax
+ self.plot.Draw (graphics, xAxis=x_range, yAxis=y_range, step=self.fftsink.y_per_div)
+
+ def set_use_persistence(self, enable):
+ self.use_persistence = enable
+ self.plot.set_use_persistence( enable)
+
+ def set_persist_alpha(self, persist_alpha):
+ self.persist_alpha = persist_alpha
+ self.plot.set_persist_alpha(persist_alpha)
+
+ def set_peak_hold(self, enable):
+ self.peak_hold = enable
+ self.peak_vals = None
+
+ def on_average(self, evt):
+ # print "on_average"
+ self.fftsink.set_average(evt.IsChecked())
+ self.control_panel.update()
+
+ def on_use_persistence(self, evt):
+ # print "on_analog"
+ self.fftsink.set_use_persistence(evt.IsChecked())
+ self.control_panel.update()
+
+ def on_peak_hold(self, evt):
+ # print "on_peak_hold"
+ self.fftsink.set_peak_hold(evt.IsChecked())
+ self.control_panel.update()
+
+ 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, DIV_LEVELS))
+ self.control_panel.update()
+
+ 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, DIV_LEVELS))
+ self.control_panel.update()
+
+ 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)
+ self.control_panel.update()
+
+ 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.plot.PopupMenu(menu, event.GetPosition())
+
+ def evt_motion(self, event):
+ if not hasattr(self, "_points"):
+ return # Got here before first window data update
+
+ # Clip to plotted values
+ (ux, uy) = self.plot.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_use_persistence = wx.NewId()
+ self.id_peak_hold = wx.NewId()
+
+ self.plot.Bind(wx.EVT_MENU, self.on_average, id=self.id_average)
+ self.plot.Bind(wx.EVT_MENU, self.on_use_persistence, id=self.id_use_persistence)
+ self.plot.Bind(wx.EVT_MENU, self.on_peak_hold, id=self.id_peak_hold)
+ self.plot.Bind(wx.EVT_MENU, self.on_incr_ref_level, id=self.id_incr_ref_level)
+ self.plot.Bind(wx.EVT_MENU, self.on_decr_ref_level, id=self.id_decr_ref_level)
+ self.plot.Bind(wx.EVT_MENU, self.on_incr_y_per_div, id=self.id_incr_y_per_div)
+ self.plot.Bind(wx.EVT_MENU, self.on_decr_y_per_div, id=self.id_decr_y_per_div)
+ self.plot.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_1)
+ self.plot.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_2)
+ self.plot.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_5)
+ self.plot.Bind(wx.EVT_MENU, self.on_y_per_div, id=self.id_y_per_div_10)
+ self.plot.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_use_persistence, "Persistence")
+ 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_use_persistence : lambda : self.fftsink.use_persistence,
+ 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 = 100*20.48e3
+
+ # Generate a complex sinusoid
+ #src1 = analog.sig_source_c(input_rate, analog.GR_SIN_WAVE, 100*2e3, 1)
+ src1 = analog.sig_source_c(input_rate, analog.GR_CONST_WAVE, 100*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 = blocks.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, y_divs=10)
+ vbox.Add(sink1.win, 1, wx.EXPAND)
+
+ self.connect(src1, thr1, sink1)
+
+ #src2 = analog.sig_source_f(input_rate, analog.GR_SIN_WAVE, 100*2e3, 1)
+ src2 = analog.sig_source_f(input_rate, analog.GR_CONST_WAVE, 100*5.75e3, 1)
+ thr2 = blocks.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, y_divs=10)
+ 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 ()
--
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