# Optimal sampling rate for the HMM forward-algorithm

I have a system with a binary-state. The system state is estimated by an HMM forward-algorithm. Also, the system allows a varying sampling rate.

Considering that the system state transition takes a known time $$T$$, in some cases, the sampling can be reduced without a reduction in performance. How to optimize the detection of transition between the latent states and the sampling rate?