Spectral modeling is a research area in signal processing that involves analyzing and synthesizing signals using their spectral properties. This involves decomposing a signal into its frequency components, manipulating these components, and then reconstructing the signal. Spectral modeling can be applied to various fields, including audio signal processing, image processing, and telecommunications. It is widely used in applications such as speech recognition, music synthesis, and medical imaging. Techniques used in spectral modeling include Fourier analysis, wavelet analysis, and spectrogram analysis.