DocumentCode :
706192
Title :
Algorithms for separating the periodically correlated random processes into harmonic series representation
Author :
Javorskyj, Ihor ; Isayev, Ihor ; Kravets, Ihor
Author_Institution :
Physico-Mech. Inst., Lviv, Ukraine
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
1857
Lastpage :
1861
Abstract :
Method for separation of the periodically correlated random process into harmonic series representation is presented. The correlation and the spectral properties of the stationary harmonics are investigated. The expressions for precision of separated harmonics are worked out. Simulation results for the amplitude-phase modulated non-stationary signal are provided.
Keywords :
correlation methods; random processes; signal processing; amplitude-phase modulated nonstationary signal; correlation properties; harmonic series representation; periodically correlated random processes; spectral properties; stationary harmonics; Correlation; Europe; Harmonic analysis; Power harmonic filters; Probabilistic logic; Random processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
Type :
conf
Filename :
7099129
Link To Document :
بازگشت