Node.js implementation of a sample framer (Array or Buffer) and signal windowing functions (e.g. Hamming).
npm install signal-windowsThe optional windowing functions are used for things like minimizing spectral leakage when processing a given frame with the Fast Fourier Transform. Windowing functions and their characteristics can be found here.
var windows = require('signal-windows').windows,
signal = [1,1,1,1,1];
// Returns an Array of signal.length coefficients by which you can scale a set of samples
var hamCoef = windows.construct('ham', signal.length);
console.log(hamCoef); // Output all the coefficients
var Framer = require(signal-windows').Framer,
framer = new Framer({
frameSize: 4,
frameStep: 2
}),
signal = [1,2,3,4,5,6,7,8];
framer.frame(signals, console.log); // [1,2,3,4]
// [3,4,5,6]
// [5,6,7,8]
// [7,8]
var Framer = require(signal-windows').Framer,
framer = new Framer({
frameSize: 4,
frameStep: 2,
sampleType: 'UInt8', // See Buffer read methods for types available (e.g. UInt16LE, UInt16BE, etc.)
wordSize: 1 // wordSize is number of octets represent a single value
}),
signal = new Buffer([1,2,3,4,5,6,7,8]);
framer.frame(signals, console.log); // [1,2,3,4]
// [3,4,5,6]
// [5,6,7,8]
// [7,8]
If the buffer size modulus the frame size is not 0, it is your responsibility to either pad the frame with '0's before passing into an FFT or to save the remaining samples and prepend them to the next buffer.
mocha
Windows
Hamming
✓ should have proper length and start and end should be equal.
Framer
Step size 1, frame size 4
✓ Array
✓ Buffer
Step size 1, frame size 4, Custom Buffer Types
✓ Buffer UInt16LE
✓ Buffer UInt16LE
Step size 2, frame size 4
✓ Array
✓ Buffer
Step size 2, frame size 4, trailing samples
✓ Array
✓ Buffer
9 passing (16ms)
The MIT License (MIT)
Copyright (c) 2015 Vail Systems
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