Recent advances in rapid frequency estimation

Barry G. Quinn*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    43 Citations (Scopus)


    There are two main types of frequency estimator-the traditional, based on FFT's, and the more modern, based on linear filtering. Statistical and computational efficiency usually have to be traded off against each other. Typically the filter-based estimators are statistically grossly inefficient. This paper discusses the extension of the Quinn-Fernandes (filter-based, statistically optimal) technique to complex-valued signals, and the use of zero-padding to improve the statistical efficiency of the Fourier transform interpolative (FTI) estimator to statistical near-optimality.

    Original languageEnglish
    Pages (from-to)942-948
    Number of pages7
    JournalDigital Signal Processing
    Issue number6
    Publication statusPublished - Dec 2009


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