Exploring the Colors of Noise: White, Brown, Red, and Pink
May 17, 2024
Noise has long been categorized into various 'colors' to denote distinct characteristics and differences. In this article, we will explore the differences in white, brown, red, and pink noise, diving into their unique properties and applications in daily life.
White Noise: Random Sound Waves Across Frequencies
White noise is the most commonly known type of noise, characterized by its equal intensity across all audible frequencies. This produces a consistent, static-like sound. Because of its masking ability, white noise is popularly used for better sleep, concentration, and relaxation.
Brown Noise: The Deep, Rumbling Sound
Also referred to as 'Browian' or 'red' noise, Brown noise generates power that decreases with increasing frequency, resulting in a deep, bass-like sound. This noise has been found to be soothing and can block out intrusive and inconsistent sounds. Brown noise is named after Robert Brown, the discoverer of the Brownian motion.
Red Noise: Similar to Brown but with Simpler Calculations
Red noise is another name for Brown noise, but specifically in the context of signal processing. Red noise, like Brown noise, has power that decreases with increasing frequency, but with simpler calculations.
Pink Noise: Equal Power in Octaves
Pink noise is a blend of high and low frequencies with equal power per octave. This produces a more balanced, natural sound to the human ear, similar to rain or soft wind. Pink noise has been used for audio testing, calibration, and equalization purposes, as well as promoting relaxation and sleep.
In summary, white noise offers equal intensity across all audible frequencies, brown (also called red) noise is characterized by deep and rumbling sounds, red noise is a version of brown noise in signal processing, and pink noise In summary, white noise offers equal intensity across all audible frequencies, brown (also called red) noise is characterized by deep and rumbling sounds, red noise is a version of brown noise in signal processing, and pink noise focuses on equal power per octave. Each color has its unique properties that make them suitable for various applications, from improving sleep to audio testing.