Comparative Analysis of Different Noise Colors
The objective of this paper is to systematically identify and analyze the most prominent types of noise categorized by color, with particular emphasis on white noise as the foundational reference from which all other types are derived. The study focuses on the spectral and statistical properties of white, pink, brown, blue, purple, and grey noise. Additionally, the paper provides an overview of the fundamental characteristics of the acoustic spectra. It finds applications in fields such as acoustics, audio engineering, and digital signal processing, as it includes spectral analysis of various noise types and demonstrates their critical role in understanding their behavior and practical applications. The paper contains code created in Octave that generates the spectral densities of the noises of interest, and it represents a contribution of the paper.