DocumentCode :
2983835
Title :
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 :
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