Power spectrum estimation via orthogonal transformation

Author

Ning, Taikang ; Whiting, Susan

Author_Institution

Dept. of Electr. & Comput. Sci., Trinity Coll., Hartford, CT, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

2523

Abstract

An autoregressive (AR) modeling technique using orthogonal transformation to compute AR parameters is introduced. AR power spectra estimated using this approach exhibit less frequency bias, no line splitting, and better frequency resolution when compared to the Burg method. Computation of AR parameters by the new method is efficient and comparable to the Burg method

Keywords

parameter estimation; spectral analysis; AR parameters; Burg method; autoregressive modelling; orthogonal transformation; power spectrum estimation; Computer science; Constraint optimization; Educational institutions; Frequency estimation; Least squares methods; Power engineering and energy; Power engineering computing; Signal Processing Society; Signal to noise ratio; Spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.116113

Filename

116113

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2948780