Main article: Sampling (signal processing) DSP is applicable to both streaming data and static (stored) data. Digital signal processing is also fundamental to digital technology, such as digital telecommunication and wireless communications. The application of digital computation to signal processing allows for many advantages over analog processing in many applications, such as error detection and correction in transmission as well as data compression. Nonlinear signal processing is closely related to nonlinear system identification and can be implemented in the time, frequency, and spatio-temporal domains. DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, data compression, video coding, audio coding, image compression, signal processing for telecommunications, control systems, biomedical engineering, and seismology, among others.ĭSP can involve linear or nonlinear operations. ĭigital signal processing and analog signal processing are subfields of signal processing. In digital electronics, a digital signal is represented as a pulse train, which is typically generated by the switching of a transistor.
The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency. JSTOR ( May 2008) ( Learn how and when to remove this template message)ĭigital signal processing ( DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations.Unsourced material may be challenged and removed.įind sources: "Digital signal processing" – news Please help improve this article by adding citations to reliable sources. This article needs additional citations for verification.