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zinda_rud
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I have been recently reading papers on Generalized Pencil of Functions and Prony Method (parameteric modeling). It turns out that GPOF/Prony are very good in extracting resonances from a given data and don't suffer from the so called 'windowing effects' associated with FT.
My question is:
Is there any advantage of using FT (or specifically DFTs) in extracting poles/resonances from a given data or GPOF/Prony's are the best in all such cases?
Thanks.
My question is:
Is there any advantage of using FT (or specifically DFTs) in extracting poles/resonances from a given data or GPOF/Prony's are the best in all such cases?
Thanks.