8e0c66bb87
-- This module implements some algorithms for calculating Fast Fourier Transforms for one-dimensional data sets of size 2^n. The data, assumed to arise from a constant sampling rate, is represented by an array reference, which is then used to create a Math::FFT object. Available methods include complex and real discrete fourier transforms, convolution, power spectra and windowing functions, as well as some statistical utilities.
9 lines
431 B
Plaintext
9 lines
431 B
Plaintext
This module implements some algorithms for calculating Fast Fourier
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Transforms for one-dimensional data sets of size 2^n. The data,
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assumed to arise from a constant sampling rate, is represented by
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an array reference, which is then used to create a Math::FFT object.
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Available methods include complex and real discrete fourier transforms,
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convolution, power spectra and windowing functions, as well as some
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statistical utilities.
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