Quadratic power spectrum estimation with orthogonal frequency division multiple windows

Author

Bartholomew, David L. ; Tague, John A.

Author_Institution

Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA

Volume

43

Issue

5

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

1279

Lastpage

1282

Abstract

Studies a new quadratic power spectral density estimator implemented with orthogonal frequency division multiple windows. The windows are constructed from a single window shifted in frequency. The orthogonality constraint ensures that the estimator meets a minimum mean-squared error performance criterion. Solutions for the window are obtained numerically. The new estimator has good frequency selectivity characteristics, and its statistical properties are comparable to the best multiple window estimators available

Keywords

least mean squares methods; parameter estimation; spectral analysis; statistical analysis; frequency selectivity characteristics; minimum mean-squared error performance; orthogonal frequency division multiple windows; orthogonality constraint; quadratic power spectral density estimator; statistical properties; Data analysis; Frequency conversion; Frequency estimation; Frequency measurement; Gaussian noise; Passband; Power measurement; Signal processing; Signal resolution; Spectral analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.382417

Filename

382417