I was reading "Continuous Myoelectric Control for Powered Prostheses Using Hidden Markov Models"
and I understand some of HMM by tutorials but think a autoregresive coeficent is a p value gotten from the student t value of a signals data run through autocorrelation?
"In each observation window, the root mean square value and the first 6 autoregressive coefficients were computed as signal features."