High-Resolution Time-Frequency Methods' Performance Analysis
Author(s)Kashif, Faisal Mahmood; Shafi, Imran; Ahmad, Jamil; Shah, Syed Ismail; Ikram, Ataul Aziz; Khan, Adnan Ahmad; Bashir, Sajid; ... Show more Show less
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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Electromagnetic and Electronic Systems
EURASIP Journal on Advances in Signal Processing
European Association for Signal Processing / Hindawi
Shafi, Imran et al. “High-Resolution Time-Frequency Methods' Performance Analysis.” EURASIP Journal on Advances in Signal Processing 2010 (2010): 1-7.
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