Paper data
Title:
Increasing accuracy of frequency estimation by decimation Author(s): Niedzwiecki Maciej, Technical University of Gdansk, Faculty of Electronics, Telecommunications and Computer Science, Pol Klaput Tomasz, Technical University of Gdansk, Faculty of Electronics, Telecommunications and Computer Science, Pol Kaczmarek Piotr, Technical University of Gdansk, Faculty of Electronics, Telecommunications and Computer Science, Pol Page numbers in the proceedings: Volume III pp 135138 Session: Frequency Estimation
Paper abstract
The problem of estimation of a frequency of a complex sinusoidal signal buried in white measurement noise is considered. It is shown that, for a fixed model order, the variance of the autoregressive frequency estimates can be significantly reduced if the signal is decimated prior to modeling. To obtain comparable results by means of processing the signal in the original time scale, one may be forced to use autoregressive models of very high orders. Therefore the major advantage of decimation is dramatic reduction in computation.
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