Title :
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
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;
Conference_Titel :
Electronics, Circuits and Systems, 1998 IEEE International Conference on
Conference_Location :
Lisboa
Print_ISBN :
0-7803-5008-1
DOI :
10.1109/ICECS.1998.813307