Abstract
This paper deals with neural network approaches for higher order spectral estimation. The emphasis is put on how to use analog neural networks to perform in realtime major computations required in the ARMA model based bispectral estimation and the fourth order cumulant based Pisarenko’s harmonic method. The proposed approaches are useful for the real-time signal processing with higher order spectral estimation.
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© 1998 Springer-Verlag Wien
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Luo, FL., Unbehauen, R. (1998). Neural Networks for Higher-Order Spectral Estimation. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6492-1_26
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DOI: https://doi.org/10.1007/978-3-7091-6492-1_26
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83087-1
Online ISBN: 978-3-7091-6492-1
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