High-resolution time-frequency methods performance analysis

  • Authors:

  • Imran Shafi;Jamil Ahmad;Syed Ismail Shah;Ataul Aziz Ikram;Adnan Ahmad Khan;Sajid Bashir;Faisal Mahmood Kashif

  • Affiliations:

  • Information and Computing Department, Iqra University Islamabad Campus, Islamabad, Pakistan;Information and Computing Department, Iqra University Islamabad Campus, Islamabad, Pakistan;Information and Computing Department, Iqra University Islamabad Campus, Islamabad, Pakistan;Information and Computing Department, Iqra University Islamabad Campus, Islamabad, Pakistan;College of Telecommunication Engineering, NUST, Islamabad, Pakistan;Computer Engineering Department, Centre for Advanced Studies in Engineering, Islamabad, Pakistan;Laboratory for Electromagnetic and Electronic Systems, MIT Cambridge, Cambridge, MA

  • Venue:
  • EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
  • Year:
  • 2010

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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.