Skip navigation
Skip navigation

Kaiser window based kernel for time-frequency distributions

Wimalaguna Kodituwakku, Sandun; Kennedy, Rodney; Abhayapala, Thushara


A novel sinhc kernel, which generates a Kaiser window based time-frequency distribution for non-stationary signal analysis is introduced. The Kaiser distribution belongs to the Cohen class of time-frequency distributions, and satisfies desirable distribution properties. By controlling the shape of the Kaiser window, auto-term resolutions and cross-term magnitudes can be successfully traded.

CollectionsANU Research Publications
Date published: 2009
Type: Journal article
Source: Electronics Letters
DOI: 10.1049/el:20093130


File Description SizeFormat Image
01_Wimalaguna Kodituwakku_Kaiser_window_based_kernel_for_2009.pdf344 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator