Smoothing discrete data with hanning window
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I am new to matlab analysis and I need to smooth dicharge times of a motor unit (discrete data points representing firing times). All previous literature uses "400 ms Hanning window" to smooth the firing rate (calculated from the discharge times). My question is, I have ,for example, an array containing 800 numbers (consecutive discharge times in sec) . How can I apply 400 ms Hanning window on this data? My sampling rate is 20K Hz.
2 Comments
Adam
on 29 Aug 2018
You have nowhere near enough data to do this. 800 samples is only 4ms worth of data unless my on the spot maths is wrong.
Star Strider
on 29 Aug 2018
See the fir1 documentation section on Multiband FIR Filter (link) for an example on how to design a FIR filter with a Hanning window.
Answers (2)
Adam Danz
on 29 Aug 2018
0 votes
Here's a full description and examples.
5 Comments
Gizem Yilmaz
on 29 Aug 2018
Adam Danz
on 29 Aug 2018
See Adam's comment under your question. I agree that if your sampling rate is 20Khz and you've got 800 samples, you simply don't have enough data to use a 400ms window.
20kHz is 0.05 milliseconds per sample. If you have 800 equispaced samples at that rate, that's only 40ms.
Gizem Yilmaz
on 29 Aug 2018
Adam
on 29 Aug 2018
If that is the case how can you have a single sample rate? A scalar sample rate implies all data is the same distance apart on a uniform grid.
Adam Danz
on 29 Aug 2018
@Gizem, If I'm interpreting your description correctly, you've sampled a motor unit at 20kHz and recorded the timestamps of each action potential. For simplicity, let's say the sampling rate was at 1ms intervals (1kHz), if my timestamps were
[2 5 7 10]
then I could replace that with a vector sampled a 1ms resolution where a 1 indicates a spike.
[0 1 0 0 1 0 1 0 0 1]
There is a 1 (a spike) at 2ms, 5ms, 7ms, and 10ms.
Is that an accurate description of your data?
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