While noise is by definition derived from a random signal, it can have different characteristic statistical properties corresponding to different mappings from a source of randomness to the concrete noise.
Things you need:
– Tape recorder with microphone
– Fingers to press record on tape recorder (In the case of severe finger loss, a toe can be used in its place)
– Blank tape (90min preferably)
What to Do and How to listen for Colors of Noise:
White noise is a signal, named by analogy to white light, with equal energy per cycle (hertz).This produces a flat frequency spectrum in linear space.
The frequency spectrum of pink noise is flat in logarithmic space; it has equal power in bands that are proportionally wide
In fields that adopt precise definitions, the terminology “red noise”, also called Brown noise or Brownian noise, will usually refer to a power density which decreases 6 dB per octave with increasing frequency (density proportional to 1/f 2) over a frequency range which does not include DC (in a general sense, does not include a constant component, or value at zero frequency).
Blue noise is also called azure noise. Blue noise’s power density increases 3 dB per octave with increasing frequency (density proportional to f ) over a finite frequency range
Violet noise is also called purple noise. Violet noise’s power density increases 6 dB per octave with increasing frequency(density proportional to f 2) over a finite frequency range. It is also known as differentiated white noise.
Grey noise is random pink noise subjected to a psychoacoustic equal loudness curve (such as an inverted A-weighting curve) over a given range of frequencies, giving the listener the perception that it is equally loud at all frequencies.
Orange noise is quasi-stationary noise with a finite power spectrum with a finite number of small bands of zero energy dispersed throughout a continuous spectrum.
Black noise is also called silent noise. Found when everything is silent.