Identification of Non-Minimum Phase Transfer Function Components

Author

Moir, T.J. ; Jeong, J.

Author_Institution

Inst. of Inf. & Math. Sci., Massey Univ. at Albany, Auckland

fYear

2006

fDate

Aug. 2006

Firstpage

380

Lastpage

384

Abstract

A technique is shown for the direct identification of non-minimum phase terms with application to system identification. No polynomial root finding is necessary with this approach. The method uses a combination of kepstrum analysis to first estimate a minimum phase term and the residual all-pass transfer functions which have the non-minimum phase information are then estimated with a cascaded recursive-least squares (RLS) algorithm

Keywords

least squares approximations; polynomials; signal processing; transfer functions; cascaded recursive-least squares; kepstrum analysis; nonminimum phase transfer function components; polynomial root; residual all-pass transfer functions; signal processing; Control systems; Least squares approximation; Phase estimation; Polynomials; Recursive estimation; Resonance light scattering; Signal processing; Signal processing algorithms; Transfer functions; White noise; Kepstrum (complex cepstrum) method; least-mean squares (LMS); recursive-least squares (RLS);

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2006 IEEE International Symposium on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9753-3

Electronic_ISBN

0-7803-9754-1

Type

conf

DOI

10.1109/ISSPIT.2006.270830

Filename

4042272

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2983835