Instantaneous frequency estimation using linear prediction with comparisons to the DESAs

Four nonlinear instantaneous frequency estimators are derived by symbolically expressing the output of linear predictive techniques in terms of the input data samples. The estimators are similar in form to the instantaneous frequency estimators associated with the discrete energy separation algorith...

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Bibliographic Details
Published in:IEEE signal processing letters 1996-02, Vol.3 (2), p.54-56
Main Authors: Fertig, L.B., McClellan, J.H.
Format: Article
Language:English
Subjects:
Autocorrelation
Filters
Forward contracts
Frequency estimation
Polynomials
Predictive models
Root mean square
Signal analysis
Yield estimation
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Summary:Four nonlinear instantaneous frequency estimators are derived by symbolically expressing the output of linear predictive techniques in terms of the input data samples. The estimators are similar in form to the instantaneous frequency estimators associated with the discrete energy separation algorithms (DESAs). The mean absolute error and root mean square error (RMSE) of the new frequency estimators compare favorably with those of the DESAs for a specified class of AM-FM/cosine signals. The new estimators also require fewer computations than the DESA frequency estimators.
ISSN:1070-9908
1558-2361
DOI:10.1109/97.484216