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PIKULA, S. BENEŠ, P.
Original Title
Comparison of Measures of Time-Frequency Distribution Optimization
Type
conference paper
Language
English
Original Abstract
This article describes the problems of time-frequency representation optimization. The goal is to achieve compromise between good resolution and reduced cross terms. The quantitative measures used for this optimization are described. For the case of a simulated signal a measure based on mean squared error is proposed. The proposed method compares an optimized result to the ideal representation obtained as sum of Wigner-Ville distributions of mono-component signals. Three simulated signals are used to compare optimization of Choi-Williams Distribution, Gabor spectrogram, Short-time Fourier transform and S-method. The optimization is realized on the basis of four quantitative measures: Rényi entropy, Jones-Parks measure, Stankovic measure and proposed method. Results show problematic use of Jones-Parks measure for optimization and comparable optimization of all tested time-frequency distributions by means of three usable measures. For practical use with real signal, S-method with Rényi or Stankovic measure is recommended.
Keywords
Time-frequency representations; Wigner-Ville Distribution; Choi-Williams Distribution; Gabor transform; Short-time Fourier transform; S-method; Quantitative measures; Rényi entropy; Jones-Parks measure; Mean squared error
Authors
PIKULA, S.; BENEŠ, P.
Released
18. 10. 2016
Location
Lisabon
ISBN
978-1-4673-8817-7
Book
8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT
Pages from
314
Pages to
319
Pages count
6
URL
https://ieeexplore.ieee.org/document/7765378
BibTex
@inproceedings{BUT129995, author="Stanislav {Pikula} and Petr {Beneš}", title="Comparison of Measures of Time-Frequency Distribution Optimization", booktitle="8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT", year="2016", pages="314--319", address="Lisabon", doi="10.1109/ICUMT.2016.7765378", isbn="978-1-4673-8817-7", url="https://ieeexplore.ieee.org/document/7765378" }