High-Resolution Time-Frequency Methods' Performance Analysis. (8th August 2010)

• Record Type: Journal Article
• Authors: Shafi, Imran; Ahmad, Jamil; Shah, Syed Ismail; Ikram, Ataul Aziz; Ahmad Khan, Adnan; Bashir, Sajid; Kashif, Faisal Mahmood
• Other Names: Chaparro L. F. Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-08-08
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/806043
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : 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.