Positivity of a MA(2) or MA(3) covariance

Positivity of a MA(2) or MA(3) covariance

Bernard Picinbono 

Laboratoire des signaux et systèmes (L2S, UMR CNRS 8506), université Paris-Sud CNRS – Centrale-Supelec, 3, rue Joliot-Curie, 91192 Gif-sur-Yvette, France

Page: 
403-414
|
DOI: 
https://doi.org/10.3166/ts.2017.00002
Received: 
N/A
| |
Accepted: 
N/A
| | Citation
Abstract: 

The covariance function gk of a real discrete-time moving average of order q random signal is zero for k ≥ q but its other values must satisfy some conditions ensuring that gk is a non- negative-definite function, which means that its Fourier transform, or its power spectrum, is non-negative. There are some general conditions ensuring this property but they cannot be used in order to determine the domain D+ such that when the vector c of components gk belongs to this domain then gk has the required non-negative property. The boundaries of the domain are determined for q = 2 and q = 3 theoretically and computer simulations exhibit an excellent agreement between theoretical and simulated results.

Keywords: 

MA and AR signals, conditions of the covariance, covariance matrices.

1. Introduction
2. Fonction de covariance d’un signal MA(2)
3. Fonction de covariance d’un signal MA(3)
4. Conclusion
  References

Kay S. (1988). Modern spectral estimation: theory and application, Prentice Hall, New York.

Moses L., Liu D. (1991). Optimal nonnegative definite approximation of estimated moving average covariance sequences, IEEE Transact. Signal Process., vol. 39, no 9, p. 2007-2015.

Picinbono B. (1995). Signaux aléatoires. Bases du traitement statistique du signal, Dunod, Paris.

Steinhardt A. (1988). Correlation matching by finite length sequences, IEEE Transac. Signal Process., vol. 36, no 4, p. 545-559.