I need a function for regularising the time base of electronically acquired signals (i.e. vectors of samples with a nominally constant time base).
For example, the accelerometer in my smartphone can deliver data at about 50 Hz, but the sampling rate varies by about 5% throughout a recording. I have developed signal processing functions that assume a constant sample rate, so I need to modify my input data vectors so that this assumption becomes true. Furthermore, if I want to combine signals from different sources that have different sampling rates, I will be obliged to harmonise the time bases, somehow. I have written routines in other languages to interpolate (generate a larger number of regularly spaced samples from the input series) or, what I call, "intrapolate" (generate a smaller number of regularly spaced samples from the input series), so it wouldn't be too hard form me to write a function that covers both, but I prefer not to reinvent wheels (unless my wheel is markedly better!) Can anyone tell me if there is already a package that might cover what I need? -- View this message in context: http://r.789695.n4.nabble.com/Is-there-a-time-series-resampling-function-tp4711907.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
