Class: Fft

Constructor

new Fft(options)

Parameters:

Name	Type	Description
options	Object	Override default parameters. Properties Name Type Attributes Default Description size Number <optional> 1024 Size of the fft, should be a power of 2. If the frame size of the incomming signal is lower than this value, it is zero padded to match the fft size. window String <optional> 'none' Name of the window applied on the incomming signal. Available windows are: 'none', 'hann', 'hanning', 'hamming', 'blackman', 'blackmanharris', 'sine', 'rectangle'. mode String <optional> 'magnitude' Type of the output (magnitude or power) norm String <optional> 'auto' Type of normalization applied on the output. Possible values are 'auto', 'none', 'linear', 'power'. When set to auto, a linear normalization is applied on the magnitude spectrum, while a power normalization is applied on the power spectrum.

Source:

• common/operator/Fft.js, line 219

To Do:

• - check if 'rectangle' and 'none' windows are not redondant.
• - check default values for all params.

Example

import * as lfo from 'waves-lfo/client';

// assuming an `audioBuffer` exists
const source = new lfo.source.AudioInBuffer({ audioBuffer });

const slicer = new lfo.operator.Slicer({
  frameSize: 256,
});

const fft = new lfo.operator.Fft({
  mode: 'power',
  window: 'hann',
  norm: 'power',
  size: 256,
});

source.connect(slicer);
slicer.connect(fft);
source.start();

// > outputs 129 bins containing the values of the power spectrum (including
// > DC and Nyuist frequencies).

const fft = new lfo.operator.Fft({ size: 512, window: 'hann' });
// mandatory for use in standalone mode
fft.initStream({ frameSize: 256, frameType: 'signal' });
fft.inputSignal(signal);