我怀疑我的程序给了我错误的结果。
我有一个不规则的时间序列数据:(时间(h:m:s:ms),X加速度,Y加速度,Z加速度)十六进制
我的日志文件的部分
7:43:08.437 > ATT_HandleValueNotification: status=0 h=45 n=3 07 C7 17
17:43:08.477 > ATT_HandleValueNotification: status=0 h=45 n=3 07 C7 17
17:43:08.437 > ATT_HandleValueNotification: status=0 h=45 n=3 07 C7 17
17:43:08.477 > ATT_HandleValueNotification: status=0 h=45 n=3 07 C7 17
17:43:08.497 > ATT_HandleValueNotification: status=0 h=45 n=3 07 C7 17
17:43:08.516 > ATT_HandleValueNotification: status=0 h=45 n=3 07 C7 17
17:43:08.537 > ATT_HandleValueNotification: status=0 h=45 n=3 09 C7 17
第一列用于时间,最后三列用于加速度数据(x,y,z)。
我的目标是将不规则的时间序列插入到常规时间序列中,我希望每0.01秒获得一次加速度数据。
我的代码matlab:
s=data(:,3)+data(:,4)/1000; % convert to seconds+fractions
t = datenum(2014,07,18,data(:,1),data(:,2),s)*86400;
t = t - t(1);
sample = interp1(t,res(:,1:3), 0:0.01:t(end)); % i fixed a time to 100ms to obtain estimated data in this time
将加速度数据从十六进制转换为加速度g后,我获得此表
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,140625000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
这是应用interp1函数后的一部分表格样本:
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
0,110866306584362 -0,890625000000000 0,359375000000000
0,125746056832695 -0,890625000000000 0,359375000000000
0,140624576267240 -0,890625000000000 0,359375000000000
0,132812426778048 -0,890625000000000 0,359375000000000
0,125000277288855 -0,890625000000000 0,359375000000000
0,117188127799663 -0,890625000000000 0,359375000000000
0,109375978310470 -0,890625000000000 0,359375000000000
0,109375000000000 -0,890625000000000 0,359375000000000
端 我认为我有重复的值
答案 0 :(得分:0)
我猜你的查询点也涵盖了你的样本点。如果您想避免产生重复项,只需从查询点集中删除样本点,例如:
% prepare your data:
t = datenum(2014,07,18,data(:,1),data(:,2),s)*86400;
samplepoints = t - t(1);
querypoints = 0:0.01:t(end);
% remove sample points from query points:
newQuerypoints = setdiff(querypoints,samplepoints);
% obtain values as usual:
queryvalues = interp1(samplepoints, samplevalues, newQuerypoints);