1. Average sample rate is in the ms range, but can vary to seconds /
minutes when there is no activity to be measured.
2. Most of the sample intervals are in the ms range, but accuracy down
to the microsecond is possible. However, at that level, mostly noise
is recorded. I want to downsample to one measurement per second or
even minute.
3. I am not sure how to quantify this, the signal measured does
contain a lot of noise, but ideally, I would like to use a Hull Moving
Average to smooth the data.

I appreciate your help.

On Feb 1, 5:29*pm, Richard Owlett <rowl...@pcnetinc.com> wrote:
> Jessica wrote:
> > I am looking for an open-source smoother to down-sample data. I know
> > there are many such as Hull Moving average, but I have data logged at
> > the ms scale at non-fixed time intervals and I want to sample it on
> > the second range at fixed time intervals. Does anyone know of a good
> > smoother to do this? The key is that the input data is not logged at a
> > constant frequency.
>
> Can't answer your specific question. *BUT* I can suggest
> information to give so you can get a meaningful answer:
>
> 1. What is the average sample rate?
> 2. What is the minimum and maximum time between samples?
> * * 2a. Possibly, what is the distribution of sample intervals?
> 3. What is your desired fixed "sample rate"?
> 4. What accuracy constraints of fit of reconstructed signal to
> * * the actual? [Would linear interpolation between points be
> * * adequate or would a 310947 degree polynomial be needed?
> * * [Alright already, the degree was tongue in cheek, but intent
> * * *was serious.]
>
> The art of getting "right answer" is asking "right question" ;>
> [I *KNOW* from personal embarrassing experience.]