Hello there,
I have an EEG signal whose amplitude is normalized between -1 to +1 within each epoch.
There are 256 samples within an epoch.
Each epoch (256 samples) is an input to AutoRegressive box of order 5.
I am getting following auto-regressive coefficients for a single epoch:
1,-4.78718,9.30318,-9.17654,4.59432,-0.933777
The value of these coefficients seem to be large and as I increase the "order" it gets larger.
When I make the order = 15, the coefficients have values in the range of 1000.
Are such high value of AR coefficients expected for a normalized signal?
Or I am doing something wrong?
Edit:
I am working on OpenVibe version 2.2.0
Regards,
openvibeexplorer.
AutoRegressive Coefficients - Seem to be large for a normalized signal
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- Posts: 19
- Joined: Wed Mar 18, 2020 2:48 pm
Re: AutoRegressive Coefficients - Seem to be large for a normalized signal
Just to conclude:
I wrote a python script to invoke python module of AR coefficients. And it gives similar results as OpenVibe's AR coefficients.
Which confirms the correct functioning of OV AR coefficients module.
Thanks!
openvibeexplorer.
I wrote a python script to invoke python module of AR coefficients. And it gives similar results as OpenVibe's AR coefficients.
Which confirms the correct functioning of OV AR coefficients module.
Thanks!
openvibeexplorer.