Fast Fourier transform - MATLAB fft
https://www.mathworks.com/help/matlab/ref/fft.html
Now, take the Fourier transform of the original, uncorrupted signal and retrieve the exact amplitudes, 0.7 and 1.0. Specifying a positive integer scalar for the transform length can increase the performance of fft. The length is typically specified as a power of 2 or a value that can be factored into...
FFT
https://www.nti-audio.com/en/support/know-how/fast-fourier-transform-fft
The "Fast Fourier Transform" (FFT) is an important measurement method in the science of audio and acoustics measurement. It converts a signal into individual spectral components and thereby provides frequency information about the signal. FFTs are used for fault analysis, quality control...
Fourier Transforms (scipy.fft) — SciPy v1.6.1 Reference Guide
https://docs.scipy.org/doc/scipy/reference/tutorial/fft.html
Typically, only the FFT corresponding to positive frequencies is plotted. The example plots the FFT of the sum of two sines. The FFT input signal is inherently truncated. This truncation can be modeled as multiplication of an infinite signal with a rectangular window function.
numpy.fft.fft — NumPy v1.20 Manual
https://numpy.org/doc/stable/reference/generated/numpy.fft.fft.html
FFT (Fast Fourier Transform) refers to a way the discrete Fourier Transform (DFT) can be calculated efficiently, by using symmetries in the calculated terms. The symmetry is highest when n is a power of 2, and the transform is therefore most efficient for these sizes. The DFT is defined, with the conventions...
Fast Fourier Transform (FFT) FAQ - dspGuru
https://dspguru.com/dsp/faqs/fft/
The Fast Fourier Transform (FFT) is simply a fast (computationally efficient) way to calculate the Discrete Fourier Transform (DFT). By making use of periodicities in the sines that are multiplied to do the transforms, the FFT greatly reduces the amount of calculation required.
Free small FFT in multiple languages
https://www.nayuki.io/page/free-small-fft-in-multiple-languages
The fast Fourier transform (FFT) is a versatile tool for digital signal processing (DSP) algorithms and applications. Note that the FFT, with a bit of pre- and postprocessing, can quickly calculate the discrete cosine transform (DCT), which is used in many multimedia compression algorithms.
Fast Fourier transform - Rosetta Code
http://rosettacode.org/wiki/Fast_Fourier_transform
Calculate the FFT (Fast Fourier Transform) of an input sequence. The most general case allows for complex numbers at the input and results in a sequence of equal length, again of complex numbers. If you need to restrict yourself to real numbers, the output should be the magnitude (i.e.: sqrt(re2 + im2)...
R: Fast Discrete Fourier Transform (FFT)
https://stat.ethz.ch/R-manual/R-devel/library/stats/html/fft.html
Computes the Discrete Fourier Transform (DFT) of an array with a fast algorithm, the "Fast Fourier Transform" (FFT). When z is a vector, the value computed and returned by fft is the unnormalized univariate discrete Fourier transform of the sequence of values in z. Specifically, y <- fft(z) returns.
GitHub - kfrlib/fft: FFT (Fast Fourier Transform): SSE, AVX, AVX2
https://github.com/kfrlib/fft
Contribute to kfrlib/fft development by creating an account on GitHub. FFT is optimized for SSE2, SSE3, SSE4.x, AVX and AVX2 processors. Both double and single precision.
Fast Fourier transform - Wikipedia
https://en.wikipedia.org/wiki/Fast_Fourier_transform
A fast Fourier transform (FFT) is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT). Fourier analysis converts a signal from its original domain...