Windows and Volterra transfer function estimation

Author

Yoo, Hyungsuk ; Powers, Edward J.

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA

fYear

1997

fDate

21-23 Jul 1997

Firstpage

157

Lastpage

161

Abstract

The effects of conventional data windows on Volterra transfer function estimation are investigated. The input/output data for two known second-order systems are utilized to estimate the transfer functions, and the results are compared with true values. In addition, the use of window correction factors to offset the bias introduced into the higher-order moment spectra, by the fact that the data is attenuated at the beginning and end of a record, is investigated. In all cases, it is found that the rectangular window results in the smallest NMSE (normalized mean square error) for the estimated quadratic transfer functions

Keywords

estimation theory; frequency-domain analysis; higher order statistics; spectral analysis; transfer functions; NMSE; Volterra transfer function estimation; data windows; higher-order moment spectra; input/output data; normalized mean square error; quadratic transfer functions; rectangular window; second-order systems; window correction factors; Analysis of variance; Frequency domain analysis; Frequency estimation; Mean square error methods; Transfer functions; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on

Conference_Location

Banff, Alta.

Print_ISBN

0-8186-8005-9

Type

conf

DOI

10.1109/HOST.1997.613507

Filename

613507