التفاصيل البيبلوغرافية
| العنوان: |
Advances in Lee–Schetzen Method for Volterra Filter Identification. |
| المؤلفون: |
Simone Orcioni, Massimiliano Pirani, Claudio Turchetti |
| المصدر: |
Multidimensional Systems & Signal Processing; Jul2005, Vol. 16 Issue 3, p265-284, 20p |
| مستخلص: |
Abstract This paper concerns the identification of nonlinear discrete causal systems that can be approximated with the Wiener–Volterra series. Some advances in the efficient use of Lee–Schetzen (L–S) method are presented, which make practical the estimate of long memory and high order models. Major problems in L–S method occur in the identification of diagonal kernel elements. Two approaches have been considered: approximation of gridded data, with interpolation or smoothing, and improved techniques for diagonal elements estimation. A comparison of diagonal elements estimated, with different methods has been shown with extended tests on fifth order Volterra systems. [ABSTRACT FROM AUTHOR] |
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