What is the updated version of FFT that does not require 2^n data points?

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The discussion centers on the Fast Fourier Transform (FFT) and its historical limitation of requiring data points to be in the form of 2^n. Recent advancements have lifted this restriction, allowing for more flexible data sizes. References to FFTW and accelerated libraries like CUFFT highlight that these newer algorithms can handle a broader range of data point combinations, including those based on prime integers. Users are encouraged to utilize numbers that are combinations of powers of 2, 3, and 5 for optimal results. Resources for further reading are sought, particularly free online materials due to limited access to libraries.
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Back when I studied the FFT (many years ago), it was always described as transforming a sample based on 2^n data points. More recently, I have read that this restriction has been removed. Can anyone point me to a good reference on this newer form, preferably something available free on the 'net since I have very limited library access? Any comments on this will be much appreciated.
 
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The 2^n restriction is for a specific algorithm. The fftw and the accelerated libraries like cufft they different algorithms now which allow a wide combination of prime integers. In general I try use only numbers which combinations of powers of only 2,3 and 5.
 
Thank you, Dr Transport & Chris.
 
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