High-Resolution Time-Frequency Methods' Performance Analysis
Name
Shafi-2010-High-Resolution Time-Frequency Methods' .pdf
Size
2.17 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Kashif, Faisal Mahmood
Shafi, Imran
Ahmad, Jamil
Shah, Syed Ismail
Ikram, Ataul Aziz
Khan, Adnan Ahmad
Bashir, Sajid
Date Issued
January 2010
Journal
EURASIP Journal on Advances in Signal Processing
Publisher
European Association for Signal Processing / Hindawi
Citation
Shafi, Imran et al. “High-Resolution Time-Frequency Methods' Performance Analysis.” EURASIP Journal on Advances in Signal Processing 2010 (2010): 1-7.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Electromagnetic and Electronic Systems
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1155/2010/806043
