TY - GEN
T1 - HOS-based harmonic retrieval
T2 - 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992
AU - Anderson, J. M.M.
AU - Giannakis, G. B.
PY - 1992/1/1
Y1 - 1992/1/1
N2 - Given a single record, the authors consider the problem of estimating the harmonics of a signal buried in noise. The observed data is modeled as a superposition of sinusoids plus stationary, zero-mean additive Gaussian noise of unknown covariance. Novel higher-order statistics, referred to as 'mixed' cumulants, are appropriate for certain types of mixed processes. After a consistent HOS-based linear estimate, an improved estimate is computed via mixed-cumulant matching. Issues regarding quadratic coupling are addressed. The performance of the proposed method is examined via simulations.
AB - Given a single record, the authors consider the problem of estimating the harmonics of a signal buried in noise. The observed data is modeled as a superposition of sinusoids plus stationary, zero-mean additive Gaussian noise of unknown covariance. Novel higher-order statistics, referred to as 'mixed' cumulants, are appropriate for certain types of mixed processes. After a consistent HOS-based linear estimate, an improved estimate is computed via mixed-cumulant matching. Issues regarding quadratic coupling are addressed. The performance of the proposed method is examined via simulations.
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U2 - 10.1109/SSAP.1992.246864
DO - 10.1109/SSAP.1992.246864
M3 - Conference contribution
AN - SCOPUS:0347225808
T3 - 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings
SP - 128
EP - 131
BT - 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 October 1992 through 9 October 1992
ER -