Harmonic retrieval in nonstationary noise

Author

Zhou, G. Tong ; Kim, Yongsub

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

3

fYear

1999

fDate

15-19 Mar 1999

Firstpage

1585

Abstract

Harmonic retrieval is a classical signal processing problem but it has been almost invariably assumed that the additive noise is stationary. In this paper, we abandon this requirement and allow the additive noise to be nonstationary (but also non-cyclostationary in order to distinguish it from the information bearing signal). We show that various FFT based approaches can still be used on a single record of data to yield frequency estimates that have the O(T^-3) variance, where T is the data length. Stationary multiplicative noise is also permitted in the model. Numerical examples illustrate the key concepts of the paper

Keywords

fast Fourier transforms; frequency estimation; harmonic analysis; noise; signal processing; FFT based approaches; additive noise; data length; frequency estimates; harmonic retrieval; information bearing signal; noncyclostationary noise; nonstationary noise; signal processing; stationary multiplicative noise; statistics; variance; Additive noise; Computer simulation; Frequency estimation; Higher order statistics; Noise level; Polynomials; Random processes; Signal processing; Signal processing algorithms; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.756290

Filename

756290