Computer Science

Digital Signal Processing

Digital Signal Processing

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  • About the Editor
    • Offers a contemporary and comprehensive treatment of digital signal processing.
    • Covers fundamental topics such as discrete time signals, modern digital processing, and systems.
    • Presents recent applications of digital signal processing algorithms in multimedia.

Digital signal processing (DSP) is the numerical manipulation of signals, usually with the intention to measure,  lter, produce or compress continuous analog signals. It is characterized by the use of digital signals to represent these signals as discrete time, discrete frequency, or other discrete domain signals in the form of a sequence of numbers or symbols to permit the digital processing of these signals. Digital signal processing and analog signal processing are sub elds of signal processing. DSP applications include audio and speech signal processing, sonar and radar signal processing, sensor array processing, spectral estimation, statistical signal processing, digital image processing, signal processing for comunications, control of systems, biomedical signal processing, seismic data processing, among others.