Wednesday, March 17, 2021

RATE DISTORTION STUDY FOR TIMEVARYING AUTOREGRESSIVE GAUSSIAN PROCESS

 Author :  Jia-Chyi Wu

Affiliation :  National Taiwan Ocean University

Country :  Taiwan

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  9, 11, August, 2019

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.

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

For More Details https://aircconline.com/csit/papers/vol9/csit91105.pdf

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