Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform

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概要

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• Time-frequency representations (TFRs) have been developed as tools for analysis of non-stationary signals. Signal dependent TFRs are known to perform well for a much wider range of signals than any fixed (signal independent) TFR. This paper describes customised and sequential versions of the signal dependent TFR proposed in [1]. The method, which is based on the use of the Radon transform at distance zero in the ambiguity domain, is simple and effective in dealing with both simulated and real data. The use of the described method for time-scale analysis is also presented. In addition, the paper investigates a simple technique for detection of noisy chirp signals using the Radon transform in the ambiguity domain.

• 社団法人電子情報通信学会の論文
• 1995-09-25

著者

• Ristic Branko

  Signal Processing Research Centre Queensland University Of Technology

• Boashash Boualem

  Signal Processing Research Centre, Queensland University of Technology

• Boashash B

  Queensland Univ. Technol. Brisbane Aus

• Boashash Boualem

  Signal Processing Research Centre (sprc) Eese Qut

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