Spectral analysis is a method used in various fields such as physics, engineering, and chemistry to study and analyze the properties of signals or substances. It involves the separation of a signal or substance into its constituent frequencies through the use of techniques such as Fourier transforms, wavelet transforms, or spectroscopy. By analyzing the unique spectral signature of a signal or substance, researchers can gain valuable insight into its underlying properties, such as composition, structure, or behavior. Spectral analysis is widely used in fields such as signal processing, image processing, and spectroscopy to extract valuable information from complex data sets.