A Spectrum Analysis Method Based on Neural Network

Wei Ping Cui; Zhi Wen Cao

doi:10.4028/www.scientific.net/AMM.543-547.2846

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547A Spectrum Analysis Method Based on Neural Network

A Spectrum Analysis Method Based on Neural Network

Abstract:

This paper presents a spectrum analysis method using recursive least square algorithm to train the weights of Fourier Basis Functions (FBF) neural network, according to the weight to obtain the signal amplitude spectrum and phase spectrum. The method does not involve complex multiplication and addition operations, convenient for software and hardware, especially suitable for DSP software and hardware implementation. The simulation results show that, this method is not only high precision, fast calculation speed, but also has the noise filtering function, is a kind of effective method for spectrum analysis.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2846-2849

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2846

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Cite this paper

Online since:

March 2014

Authors:

Wei Ping Cui*, Zhi Wen Cao

Keywords:

Neural Network (NN), Recursive Least Algorithms, Spectrum Analysis

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