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
Fulltext : http://zet10.ipee.pwr.wroc.pl/record/245/files/
Cited by: try citation search for ENY-TEACHING-2008-024
Record created 2008-10-17, last modified 2008-10-18
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