Linear Methods for Time-Frequency-ARMA Approximation of Time-Varying Systems
نویسندگان
چکیده
Abstract—Time-frequency autoregressive moving-average (TFARMA) models have recently been introduced as parsimonious parametric models for underspread nonstationary random processes and linear time-varying (LTV) systems. In this paper, we propose linear methods for approximating an underspread LTV system by a TFARMA-type system. The linear equations obtained have Toeplitz/block-Toeplitz structure and thus can be solved efficiently by the Wax-Kailath algorithm.
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