dat2allan.m
1.49 KB
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
#!/usr/bin/octave-cli -q
# dat2allan.m computes Allan deviation from temporal dataset and disp the result to stdout (with tab spaced values)
#
# use with gnuplot:
# set log xy
# set format "%E"
# plot "< dat2allan.m 'file.dat' column_i gain_i ad_opt" u 1:2:3 with yerrorlines
# or
# plot "< dat2allan.m 'file.dat' [column_i,column_j] [gain_i,gain_j] [ad_opt_i,ad_opt_j]" u 1:2:3 with yerrorlines
#
# inputs:
# file.dat : [string] file to load
# columns : int or [int] columns to load
# fs : int or [int] sampling frequency
# gains : float or [float] gains to apply
# ad_opt : int or [int] ad options :
# 0 direct allan computation
# 1 drift removed ad
# 2 relative ad
# 3 relative drift removed ad
filename = argv(){1};
col = eval(argv(){2});
fs = eval(argv(){3});
mult = eval(argv(){4});
ad_opt = eval(argv(){5});
if length(col) == length(mult)
ad_all = [];
for i = [1:length(col)]
data.freq = load(filename)(:,col(i)).*mult(i);
if ad_opt(i) == 1
data.freq = detrend(data.freq);
elseif ad_opt(i) == 2
data.freq = data.freq./mean(data.freq);
elseif ad_opt(i) == 3
data.freq = detrend(data.freq./mean(data.freq));
end
data.rate = fs(i);
[ad, S, err, tau] = allan(data, horzcat(reshape([1:0.1:9]'.*10.^[0:round(log10(length(data.freq)))-1],1,[]), 10^(round(log10(length(data.freq)))-1))./data.rate, strcat(strsplit(filename, '/'){end}, num2str(i)), 0);
ad_all = horzcat(ad_all, ad', err');
end
end
dlmwrite(stdout, horzcat(tau', ad_all), '\t')
exit