Abstract
For the traditional ARMA parameter estimation method in practical applications, there will be too computationally intensive solution non-unique, and the estimated algorithm unstable, fuzzy system identification using higher order statistics on the estimated MA model parameters, then disconsolation algorithm to estimate the original image improvement algorithms; the same time, the introduction of the Radon transform two-dimensional image projection of the one-dimensional projection of the image under a certain angle, effectively reducing the algorithm computational complexity, simulation experiments show that the algorithm achieved good results.
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Qu, ZF., Li, XG. (2012). Improvement on Parameter Estimation Method in ARMA Based on HOS and Radon Transform. In: Jin, D., Lin, S. (eds) Advances in Future Computer and Control Systems. Advances in Intelligent and Soft Computing, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29390-0_20
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DOI: https://doi.org/10.1007/978-3-642-29390-0_20
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