High-Resolution Time-Frequency Methods' Performance Analysis

This work evaluates the performance of high-resolution quadratic time-frequency distributions (TFDs) including the ones obtained by the reassignment method, the optimal radially Gaussian kernel method, the t-f autoregressive moving-average spectral estimation method and the neural network-based meth...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2010-01, Vol.2010 (1), p.806043-806043
Main Authors: Shafi, Imran, Ahmad, Jamil, Syed Ismail Shah, Ataul Aziz Ikram, Adnan Ahmad Khan, Bashir, Sajid, Faisal Mahmood Kashif
Format: Article
Language:English
Subjects:
Bats
Methods
Neural networks
Studies
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Summary:This work evaluates the performance of high-resolution quadratic time-frequency distributions (TFDs) including the ones obtained by the reassignment method, the optimal radially Gaussian kernel method, the t-f autoregressive moving-average spectral estimation method and the neural network-based method. The approaches are rigorously compared to each other using several objective measures. Experimental results show that the neural network-based TFDs are better in concentration and resolution performance based on various examples.
ISSN:1687-6172
1687-6180
1687-6180
DOI:10.1186/1687-6180-2010-806043