Root tracking using time-varying autoregressive moving average models and sigma-point Kalman filters
Root tracking is a powerful technique that provides insight into the mechanisms of various time-varying processes. The poles and the zeros of a signal-generating system determine the spectral characteristics o...
Citation: EURASIP Journal on Advances in Signal Processing 2020 2020:6