Double discrete integration of periodic function with R: doubly integrated function contains linear artifact












1















I need to integrate a signal from accelerometer, in order to get speed and position over time.



I'm trying the code on some code-generated acceleration data:
1)squarewave
2)sawtooth
3)sin



The speed function obtained is ok, the problem is with the position function obtained integrating speed. IN each case (squarewave, sawtooth, sin) the doubly discrete-integrated funtion shows a linear term superposed to the expected oscillating one.



I've perfomed this discrete-integration with both diffinv() function and with this custom function I've written:



#function that, given a function sampled at some time values, calculates its primitive
calculatePrimitive<-function(f_t, time, initialValue){
F_t<-0
F_t[1]<-initialValue
for (i in 2:length(f_t)) {
F_t[i] <- F_t[i-1] + (( (f_t[i]+f_t[i-1])/2 )*(time[i]-time[i-1]) )
}
F_t
}


The result is the same, no matter which function i use to performe the discrete integration, and it is shown in the attached graphs for cases 1) to 3).



squarewave



sawtooth



sinusoid



I don't understand why this happen when, no matter what is the acceleration data, the discrete integration is applied to data that have been obtained by descrete integration themselves.










share|improve this question

























  • How is this Rstudio related?

    – Roman Luštrik
    Nov 24 '18 at 16:49






  • 1





    not R studio related. There's no Rstudio tag indeed. I'm removing the "studio" word from tittle

    – sten_
    Nov 24 '18 at 17:29
















1















I need to integrate a signal from accelerometer, in order to get speed and position over time.



I'm trying the code on some code-generated acceleration data:
1)squarewave
2)sawtooth
3)sin



The speed function obtained is ok, the problem is with the position function obtained integrating speed. IN each case (squarewave, sawtooth, sin) the doubly discrete-integrated funtion shows a linear term superposed to the expected oscillating one.



I've perfomed this discrete-integration with both diffinv() function and with this custom function I've written:



#function that, given a function sampled at some time values, calculates its primitive
calculatePrimitive<-function(f_t, time, initialValue){
F_t<-0
F_t[1]<-initialValue
for (i in 2:length(f_t)) {
F_t[i] <- F_t[i-1] + (( (f_t[i]+f_t[i-1])/2 )*(time[i]-time[i-1]) )
}
F_t
}


The result is the same, no matter which function i use to performe the discrete integration, and it is shown in the attached graphs for cases 1) to 3).



squarewave



sawtooth



sinusoid



I don't understand why this happen when, no matter what is the acceleration data, the discrete integration is applied to data that have been obtained by descrete integration themselves.










share|improve this question

























  • How is this Rstudio related?

    – Roman Luštrik
    Nov 24 '18 at 16:49






  • 1





    not R studio related. There's no Rstudio tag indeed. I'm removing the "studio" word from tittle

    – sten_
    Nov 24 '18 at 17:29














1












1








1








I need to integrate a signal from accelerometer, in order to get speed and position over time.



I'm trying the code on some code-generated acceleration data:
1)squarewave
2)sawtooth
3)sin



The speed function obtained is ok, the problem is with the position function obtained integrating speed. IN each case (squarewave, sawtooth, sin) the doubly discrete-integrated funtion shows a linear term superposed to the expected oscillating one.



I've perfomed this discrete-integration with both diffinv() function and with this custom function I've written:



#function that, given a function sampled at some time values, calculates its primitive
calculatePrimitive<-function(f_t, time, initialValue){
F_t<-0
F_t[1]<-initialValue
for (i in 2:length(f_t)) {
F_t[i] <- F_t[i-1] + (( (f_t[i]+f_t[i-1])/2 )*(time[i]-time[i-1]) )
}
F_t
}


The result is the same, no matter which function i use to performe the discrete integration, and it is shown in the attached graphs for cases 1) to 3).



squarewave



sawtooth



sinusoid



I don't understand why this happen when, no matter what is the acceleration data, the discrete integration is applied to data that have been obtained by descrete integration themselves.










share|improve this question
















I need to integrate a signal from accelerometer, in order to get speed and position over time.



I'm trying the code on some code-generated acceleration data:
1)squarewave
2)sawtooth
3)sin



The speed function obtained is ok, the problem is with the position function obtained integrating speed. IN each case (squarewave, sawtooth, sin) the doubly discrete-integrated funtion shows a linear term superposed to the expected oscillating one.



I've perfomed this discrete-integration with both diffinv() function and with this custom function I've written:



#function that, given a function sampled at some time values, calculates its primitive
calculatePrimitive<-function(f_t, time, initialValue){
F_t<-0
F_t[1]<-initialValue
for (i in 2:length(f_t)) {
F_t[i] <- F_t[i-1] + (( (f_t[i]+f_t[i-1])/2 )*(time[i]-time[i-1]) )
}
F_t
}


The result is the same, no matter which function i use to performe the discrete integration, and it is shown in the attached graphs for cases 1) to 3).



squarewave



sawtooth



sinusoid



I don't understand why this happen when, no matter what is the acceleration data, the discrete integration is applied to data that have been obtained by descrete integration themselves.







r numerical-methods numerical-integration






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 24 '18 at 19:28









miselking

1,70441927




1,70441927










asked Nov 24 '18 at 15:29









sten_sten_

62




62













  • How is this Rstudio related?

    – Roman Luštrik
    Nov 24 '18 at 16:49






  • 1





    not R studio related. There's no Rstudio tag indeed. I'm removing the "studio" word from tittle

    – sten_
    Nov 24 '18 at 17:29



















  • How is this Rstudio related?

    – Roman Luštrik
    Nov 24 '18 at 16:49






  • 1





    not R studio related. There's no Rstudio tag indeed. I'm removing the "studio" word from tittle

    – sten_
    Nov 24 '18 at 17:29

















How is this Rstudio related?

– Roman Luštrik
Nov 24 '18 at 16:49





How is this Rstudio related?

– Roman Luštrik
Nov 24 '18 at 16:49




1




1





not R studio related. There's no Rstudio tag indeed. I'm removing the "studio" word from tittle

– sten_
Nov 24 '18 at 17:29





not R studio related. There's no Rstudio tag indeed. I'm removing the "studio" word from tittle

– sten_
Nov 24 '18 at 17:29












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