High-Resolution Time-Frequency Methods' Performance Analysis
نویسندگان
چکیده
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.
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عنوان ژورنال:
- EURASIP J. Adv. Sig. Proc.
دوره 2010 شماره
صفحات -
تاریخ انتشار 2010