Optimisation of the Realisation of Quadratic Discrete Time-Frequency Distributions as a MATLAB Toolbox
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Description
An optimised time-frequency signal analysis software tool is presented here as a MATLAB toolbox. This toolbox is implemented using existing and novel methods for a specific class of Time-Frequency Distributions (TFDs) called quadratic TFDs. This is first applied to a TFD called the Wigner-Ville Distribution (WVD), as all other quadratic TFDs can be represented as a smoothed (in both time and frequency) version of the WVD. This method is then extended to the general quadratic TFD case, where the complete implementation optimises both simulation speed and memory usage. Also some quadratic TFDs can be represented in their direct form, such as the Spectrogram and Rihaczek distribution. The optimization of the implementation of these distributions is also examined.
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| ID Code: | 2608 |
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| Item Type: | Contribution to conference (Paper/Presentation) |
| Refereed: | No |
| Keywords: | FFT, TFD, discrete time, efficient realisation, frequency |
| Pure ID: | 57187245 |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Current > Research Centres > Australian Research Centre for Aerospace Automation |
| Copyright Owner: | Copyright 2004 (please consult author) |
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
| Deposited On: | 21 Nov 2005 00:00 |
| Last Modified: | 03 Mar 2024 09:01 |
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