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/ ENY-TEACHING-2008-024

Review of Spectrum Estimation Methods

Sikorski, T (Institute of Electrical Engineering Fundamentals, Wroclaw University of Technology)


Abstract: State of the art: · the most popular spectrum estimation method is well known Fourier algorithm. It represents classical non-parametric approach and already has very useful digital form but unfortunately reveals some drawbacks, · alternative to classical approach are novel spectrum estimation methods, which can be grouped in two families: parametric and subspace methods. The idea of novel spectrum estimation methods: · searching and applying of novel spectrum estimation methods delivers versatility and possibilities for fast and non-invasive impact on measurement systems, · application of novel spectrum estimation methods can improve the efficiency of the system without intervention in hardware area, · finally, selection of proper algorithm brings possibilities for adaptation of the system to investigated object and aim of the measurements.

Keyword(s): spectrum estimation ; signal processing ; parametric methods ; subspace methods ; Fourier

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Record created 2008-10-17, last modified 2008-10-18

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