An expanded MFBLP method with reduced computational complexity for estimating sinusoid frequencies

Author

Druckmann, Ilan ; Plotkin, Eugene I. ; Swamy, M.N.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada

Volume

1

fYear

1998

fDate

1998

Firstpage

217

Abstract

The modified forward backward linear prediction method (MFBLP) method for estimating the frequencies of multiple sinusoids performs well on short data records, but a large predictor order L is required to achieve the minimal estimation variance. A new expanded MFBLP method is presented, which attains the same (or slightly better) performance for a substantially smaller L, and a hence smaller computational complexity. For example, in the case of 2 closely spaced sinusoids and 64 samples, L _opt decreases from 48 to 9, and computational complexity is reduced to less than 25%

Keywords

computational complexity; prediction theory; signal detection; closely spaced sinusoids; computational complexity; expanded MFBLP method; minimal estimation variance; modified forward backward linear prediction method; predictor order; sinusoid frequencies; Computational complexity; Computational modeling; Councils; Equations; Flyback transformers; Frequency estimation; Gaussian noise; Marine vehicles; Prediction methods; Sampling methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 1998 IEEE International Conference on

Conference_Location

Lisboa

Print_ISBN

0-7803-5008-1

Type

conf

DOI

10.1109/ICECS.1998.813307

Filename

813307