I am currently trying to implement an iterative block-wise algorithm in which AR coefficients are computed for each block. There is a issue with my code where values get too large, and I was wondering how linear prediction handles stability issues. For an onset block for example, the coefficients for a low order IIR-filter may result in an unstable filter, at least from my intuition.
My question is:
- Is the linear prediction method able to produce instable sets of autoregressive filter coefficients?
I realize this might be a stupid question, and I feel like I missed something. Please note that I would like to hear about linear prediction, I am not asking for someone to fix my code problem (yet).