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
|
#!/usr/bin/env python3
import utils
import numpy as np
# get array of samples [channel, synchronized, equalized, locked]
samples = utils.load_samples(__file__)
# range of samples we want to show
start = 250e3
end = start +400
# select every second samples
select_samples = lambda arr: arr[int(start):int(end):6]
values = map(select_samples, samples)
# split into imaginary and real parts
get_parts = lambda v: (np.real(v), np.imag(v))
parts = [p for v in map(get_parts, values) for p in v]
# add 'samplenr' metadata
parts += [np.arange(0, len(parts[0]))]
# zip data and add header
data = np.array(list(zip(*parts)))
headers = [
"channel_re", "channel_im",
"synchronized_re", "synchronized_im",
"equalized_re", "equalized_im",
"locked_re", "locked_im",
"samplenr",
]
# save to file
utils.save_to_file(__file__, data, headers)
|
