Sparse estimation of spectral lines: Grid selection problems and their solutions
2012 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 60, no 2, 962-967 p.Article in journal (Refereed) Published
Grid selection for sparse estimation of spectral-line parameters is a critical problem that was in need of a satisfactory solution: assuming the usual case of a uniform spectral grid how should one select the number of grid points, K? We first present a simple practical rule for choosing an initial value (or initial values) of K in a given situation. Then, we go on to explain how the estimation results corresponding to different values of K can be compared with one another and therefore how to select the "best" value of K among those considered. Furthermore, we introduce a method for detecting when a grid is "too rough" and for obtaining refined parameter estimates in such a case.
Place, publisher, year, edition, pages
2012. Vol. 60, no 2, 962-967 p.
Sinusoidal signals, sparse estimation, spectral analysis
IdentifiersURN: urn:nbn:se:uu:diva-165555DOI: 10.1109/TSP.2011.2175222ISI: 000299434300033OAI: oai:DiVA.org:uu-165555DiVA: diva2:474231