Optimal short-time Fourier transform for monocomponent signals

Date
2004
Advisor
Instructor
Source Title
Proceedings of the 12th Signal Processing and Communications Applications Conference, IEEE 2004
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
312 - 315
Language
Turkish
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Abstract

New methods of improving the short-time Fourier transform representation of signals have recently emerged. These methods use linear canonical transforms to bring the signal into a minimal time-bandwidth product form. Here we show that linear canonical transforms are not sufficient to achieve the minimum time-bandwidth product for high-order modulated mono-component signals. Therefore we propose a novel short-time Fourier transform method which requires an adaptive window, making use of an initial instantaneous frequency estimator. The new approach is able to achieve the highest possible resolution for monocomponent signals. Finally, we discuss the benefits of the proposed method.

Course
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Book Title
Keywords
Bandwidth, Fourier transforms, Integration, Mathematical transformations, Set theory, Theorem proving, Frequency estimators, Linear canonical transforms, Monocomponent signals, Short-time Fourier transform, Signal processing
Citation
Published Version (Please cite this version)