Abstract
Estimation of model parameter for transient signal is very important in many aspects. This paper presents a new Markov ARMA model Q-slice estimation algorithm for transient signal based on bispectrum. Simulation results show that this new method has some special features, such as higher estimation precision, lower amount of calculation, higher fitting effect even in lower signal-to-noise ratio (SNR) situation.
Similar content being viewed by others
References
T. Subba Rao, M. M. Gabr, An Introduction to Bispectral Analysis and Bilinear Time Series Models, New York: Seringer-Verilag, 1984, 1–145.
C. L. Nikias, M. Raghuveer, Bispectrum estimation: A digital signal processing framework, Proc. IEEE. 75(1987)7, 869–891.
Lu Jun, Application of bispectrum in impulse radar signal processing: [Master’s thesis], National University Defense Technology, 1996, (in Chinese).
G. B. Giannakis, J. M. Mendel, Cumulant-based order determination of non-Gaussian ARMA model, IEEE Trans. on Acoust, Speech, Signal Processing, ASSP-38(1990)8, 1411–1423.
Author information
Authors and Affiliations
About this article
Cite this article
Deng, G., Lu, J., Su, Y. et al. A new method of bispectral estimation for transient signal. J. of Electron.(China) 15, 296–301 (1998). https://doi.org/10.1007/s11767-998-0002-2
Issue Date:
DOI: https://doi.org/10.1007/s11767-998-0002-2