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000000245 001__ 245
000000245 037__ $$aENY-TEACHING-2008-024
000000245 041__ $$aeng
000000245 100__ $$aSikorski, T$$uInstitute of Electrical Engineering Fundamentals, Wroclaw University of Technology
000000245 245__ $$aReview of Spectrum Estimation Methods
000000245 260__ $$c2008-05-19
000000245 300__ $$a19p
000000245 520__ $$aState 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.
000000245 6531_ $$aspectrum estimation
000000245 6531_ $$asignal processing
000000245 6531_ $$aparametric methods
000000245 6531_ $$asubspace methods
000000245 6531_ $$aFourier
000000245 8560_ $$fleon99@pwr.wroc.pl
000000245 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/245/files/$$zAccess to Fulltext
000000245 909CO $$ooai:zet10.pwr.wroc.pl:245$$pglobal
000000245 980__ $$aTEACHING