In signal processing, short-time processing or short-time analysis is a technique where a signal is analyzed over short time intervals, typically using a sliding window or frame in a process called [[windowing]]. The signal is divided into overlapping or non-overlapping frames, and each frame is processed independently. This allows for the analysis of [[non-stationary signal]]s, where their properties vary over time, such as frequency content or amplitude. Common short-time processing techniques include [[short-time Fourier transform (STFT)]], wavelet transforms, and [[spectrogram]] analysis.