Volume 9, Number 11, August 2019

Rate Distortion Study for Time Varying Autoregressive Gaussian Process

  Authors

Jia-Chyi Wu, National Taiwan Ocean University, Taiwan

  Abstract

Formulation of the Rate-distortion association is an information-theoretic study in the field of signal encoding systems. Since a more general approach to model the nonstationarity exhibited by real-world signals is to use appropriately fitted time varying autoregressive (TVAR) models, we have investigated the rate-distortion function R(D) for the class of time varying nonstationary signals. In this study, we present formulations of the rate-distortion function for the Gaussian TVAR processes. The R(D) function can serve as an information-theoretic bound on the performance achievable by source encoding techniques when the processing signal is represented exclusively by a Gaussian TVAR model.

  Keywords

Rate Distortion, Nonstationary, Time Varying Autoregressive (TVAR) Process

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