1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
|
#
# 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.
#
#A macro to apply an index to a key
index_key = lambda key, i: "%s_%d"%(key, i+1)
def _register_access_method(destination, controller, key):
"""
Helper function for register access methods.
This helper creates distinct set and get methods for each key
and adds them to the destination object.
"""
def set(value): controller[key] = value
setattr(destination, 'set_'+key, set)
def get(): return controller[key]
setattr(destination, 'get_'+key, get)
def register_access_methods(destination, controller):
"""
Register setter and getter functions in the destination object for all keys in the controller.
@param destination the object to get new setter and getter methods
@param controller the pubsub controller
"""
for key in controller.keys(): _register_access_method(destination, controller, key)
##################################################
# Input Watcher Thread
##################################################
from gnuradio import gru
class input_watcher(gru.msgq_runner):
"""
Input watcher thread runs forever.
Read messages from the message queue.
Forward messages to the message handler.
"""
def __init__ (self, msgq, controller, msg_key, arg1_key='', arg2_key=''):
self._controller = controller
self._msg_key = msg_key
self._arg1_key = arg1_key
self._arg2_key = arg2_key
gru.msgq_runner.__init__(self, msgq, self.handle_msg)
def handle_msg(self, msg):
if self._arg1_key: self._controller[self._arg1_key] = msg.arg1()
if self._arg2_key: self._controller[self._arg2_key] = msg.arg2()
self._controller[self._msg_key] = msg.to_string()
##################################################
# Shared Functions
##################################################
import numpy
import math
def get_exp(num):
"""
Get the exponent of the number in base 10.
@param num the floating point number
@return the exponent as an integer
"""
if num == 0: return 0
return int(math.floor(math.log10(abs(num))))
def get_clean_num(num):
"""
Get the closest clean number match to num with bases 1, 2, 5.
@param num the number
@return the closest number
"""
if num == 0: return 0
sign = num > 0 and 1 or -1
exp = get_exp(num)
nums = numpy.array((1, 2, 5, 10))*(10**exp)
return sign*nums[numpy.argmin(numpy.abs(nums - abs(num)))]
def get_clean_incr(num):
"""
Get the next higher clean number with bases 1, 2, 5.
@param num the number
@return the next higher number
"""
num = get_clean_num(num)
exp = get_exp(num)
coeff = int(round(num/10**exp))
return {
-5: -2,
-2: -1,
-1: -.5,
1: 2,
2: 5,
5: 10,
}[coeff]*(10**exp)
def get_clean_decr(num):
"""
Get the next lower clean number with bases 1, 2, 5.
@param num the number
@return the next lower number
"""
num = get_clean_num(num)
exp = get_exp(num)
coeff = int(round(num/10**exp))
return {
-5: -10,
-2: -5,
-1: -2,
1: .5,
2: 1,
5: 2,
}[coeff]*(10**exp)
def get_min_max(samples):
"""
Get the minimum and maximum bounds for an array of samples.
@param samples the array of real values
@return a tuple of min, max
"""
scale_factor = 3
mean = numpy.average(samples)
rms = numpy.max([scale_factor*((numpy.sum((samples-mean)**2)/len(samples))**.5), .1])
min = mean - rms
max = mean + rms
return min, max
|
