We proposed an algorithm based on Bayesian Information Criterion and Expectation Maximization to determine the models and estimate the mixture parameters. The ...

Simulation results confirmed that using the proposed algorithm for source identification and universal compression can significantly decrease the ...

Most source identification algorithms are based on stationarity of data. ▫ Consider a non-stationary data stream in which data.

Afshin Abdi, Faramarz Fekri : Mixture source identification in non-stationary data streams with applications in compression. ICASSP 2017: 2502-2506.

Mixture source identification in non-stationary data streams with applications in compression. A. Abdi, and F. Fekri. ICASSP, page 2502-2506. IEEE, (2017 ).

MIXTURE SOURCE IDENTIFICATION IN NON-STATIONARY DATA STREAMS WITH APPLICATIONS IN COMPRESSION. Authors: Afshin Abdi, Faramarz Fekri, Georgia Institute of ...

Fekri, "Mixture Source Identification in Non-Stationary Data Streams with Applications in Compression", Information Theory and Applications Workshop, 2016; M ...

This paper presents several correlation based models to be used for estimation of the energy performance of vapor compression screw chillers. They were ...

MIXTURE SOURCE IDENTIFICATION IN NON-STATIONARY DATA STREAMS WITH APPLICATIONS IN COMPRESSION. Authors: Afshin Abdi; Georgia Institute of Technology. Faramarz ...

In this paper an approach to modelling nonstationary binary sequences, i.e., predicting the probability of upcoming symbols, is presented.