Spectral manipulation involves altering the frequency components of a signal to achieve a desired outcome, which is widely used in fields such as audio processing, telecommunications, and optics. By mathematically transforming the spectral data, one can improve signal clarity, remove noise, or even create new sounds or images, thereby enhancing or modifying the original information.