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Linear algebraic approaches for (almost) periodic moving average system identification

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3 Author(s)
Ying-Chang Liang ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; Leyman, A.R. ; Xian-Da Zhang

This paper addresses the problem of (almost) periodic moving average (APMA) system identification. Two normal equations are established by using time varying higher order cumulants of the measurements, from which two new linear algebraic algorithms are presented for parameter estimation. Simulation examples are given to demonstrate the performance of these new approaches

Published in:

Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on

Date of Conference:

21-23 Jul 1997