-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtestcode210415_load_data.m
More file actions
75 lines (62 loc) · 2.61 KB
/
testcode210415_load_data.m
File metadata and controls
75 lines (62 loc) · 2.61 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
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
close all;
clearvars;
% Vibration parameter setting
rate = 1500;
vibLength = 1.44;
vibSectionLength = vibLength + 0.25;
coarseInterval = rate * vibSectionLength;
% File parameter setting
path = '../Vib-Data/0405data_per_strength/';
signalfile = './chirp.csv';
signal = csvread(signalfile);
%% Dabin data
filename_list = {'db_s1_1.csv','db_s1_2.csv','db_s1_3.csv','db_s1_4.csv','db_s1_5.csv', ...
'db_s2_1.csv','db_s2_2.csv','db_s2_3.csv','db_s2_4.csv','db_s2_5.csv', ...
'db_s3_1.csv','db_s3_2.csv','db_s3_3.csv','db_s3_4.csv','db_s3_5.csv'};
cnt = 1;
for i = 1:length(filename_list)
filename = filename_list{i};
[db_x(cnt:cnt+2,:), db_y(cnt:cnt+2,:),db_z(cnt:cnt+2,:), db_xf(cnt:cnt+2,:),db_yf(cnt:cnt+2,:), db_zf(cnt:cnt+2,:)] ...
= func_signalcut_by_xcorr(path, filename, signal, coarseInterval);
cnt = cnt+3;
end
%% Heesu data
filename_list = {'hs_s1_1.csv','hs_s1_2.csv','hs_s1_3.csv','hs_s1_4.csv','hs_s1_5.csv', ...
'hs_s2_1.csv','hs_s2_2.csv','hs_s2_3.csv','hs_s2_4.csv','hs_s2_5.csv', ...
'hs_s3_1.csv','hs_s3_2.csv','hs_s3_3.csv','hs_s3_4.csv','hs_s3_5.csv'};
cnt = 1;
for i = 1:length(filename_list)
filename = filename_list{i};
[hs_x(cnt:cnt+2,:), hs_y(cnt:cnt+2,:),hs_z(cnt:cnt+2,:), hs_xf(cnt:cnt+2,:),hs_yf(cnt:cnt+2,:), hs_zf(cnt:cnt+2,:)] ...
= func_signalcut_by_xcorr(path, filename, signal, coarseInterval);
cnt = cnt+3;
end
%% Jinseon Data
filename_list = {'js_s1_1.csv','js_s1_2.csv','js_s1_3.csv','js_s1_4.csv','js_s1_5.csv', ...
'js_s2_1.csv','js_s2_2.csv','js_s2_3.csv','js_s2_4.csv','js_s2_5.csv', ...
'js_s3_1.csv','js_s3_2.csv','js_s3_3.csv','js_s3_4.csv','js_s3_5.csv'};
cnt = 1;
for i = 1:length(filename_list)
filename = filename_list{i};
[js_x(cnt:cnt+2,:), js_y(cnt:cnt+2,:),js_z(cnt:cnt+2,:), js_xf(cnt:cnt+2,:),js_yf(cnt:cnt+2,:), js_zf(cnt:cnt+2,:)] ...
= func_signalcut_by_xcorr(path, filename, signal, coarseInterval);
cnt = cnt+3;
end
%% gather all data
nDataPerUser = length(db_zf(:,1));
all_zf(1:nDataPerUser,:) = db_zf;
all_zf(nDataPerUser+1:nDataPerUser*2,:) = hs_zf;
all_zf((nDataPerUser*2)+1:nDataPerUser*3,:) = js_zf;
all_xf(1:nDataPerUser,:) = db_xf;
all_xf(nDataPerUser+1:nDataPerUser*2,:) = hs_xf;
all_xf((nDataPerUser*2)+1:nDataPerUser*3,:) = js_xf;
all_yf(1:nDataPerUser,:) = db_yf;
all_yf(nDataPerUser+1:nDataPerUser*2,:) = hs_yf;
all_yf((nDataPerUser*2)+1:nDataPerUser*3,:) = js_yf;
avg_all_axis = (all_xf + all_yf + all_zf)/3;
figure()
imagesc(corr(avg_all_axis'))
daspect([1 1 1])
xticks(0:45:135);
yticks(0:45:135);
title('fft value avg corr (80~350)')