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Kaiser window based kernel for time-frequency distributions

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Date

2009

Authors

Wimalaguna Kodituwakku, Sandun
Kennedy, Rodney
Abhayapala, Thushara

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

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.

Description

Keywords

Keywords: Image segmentation; Robustness (control systems); Signal analysis; Signal processing; Windows; Distribution properties; Kaiser windows; Non-stationary signal analysis; Time-frequency distributions; Control theory

Citation

URI

http://hdl.handle.net/1885/51939

Collections

ANU Research Publications

Source

Electronics Letters

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1049/el:20093130

Restricted until

2037-12-31

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01_Wimalaguna Kodituwakku_Kaiser_window_based_kernel_for_2009.pdf (344 KB)

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