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Processing Audio Data using Fourier Transforms in Java ...

https://stackoverflow.com/questions/962426/processing-audio-data-using-fourier-transforms-in-java

I'm trying to process audio data. I'm working with Java. I've extracted the audio data to an array. Now I should pass N data samples to a function that calculates the Discrete Fourier Transform (or Fast Fourier Transform, which is more efficient). I've read documentation but I'm getting more and more confused.

QuiFFT: Amazingly simple Fourier transforms in Java

https://www.quifft.org/

QuiFFT abstracts away the technical details of digital audio representation and wave mathematics, providing a delightfully simple interface for computing Fourier transforms in Java. Your first FFT can be as simple as one line: FFTResult fft = new QuiFFT ("audio.mp3"). fullFFT (); When you give QuiFFT an audio file it will split its signal into discrete sampling windows …

Fast Fourier transformation in Java - Stack Overflow

https://stackoverflow.com/questions/4885578/fast-fourier-transformation-in-java

Possible Duplicate:Reliable and fast FFT in Java. i want to implement a fast fourier transformation calculation in java. Is there any library in java to do calculation in fourier transform and i also want to know about the audio libraries in java. java android fft. Share. Follow this question to receive notifications. edited May 23 '17 at 11:51.

Reliable and fast FFT in Java - Stack Overflow

https://stackoverflow.com/questions/3287518/reliable-and-fast-fft-in-java

However, in most cases for audio it is considered non-stationary (that is the signals mean and variance changes to much over time), so taking one large FFT (Periodogram PSD estimate) is not an accurate representation. Alternatively you could use Short-time Fourier transform, whereby you break the signal up into smaller frames and calculate the FFT.

Fast Fourier Transformation FFT - Basics - NTi Audio

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, and condition monitoring of machines or systems.

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