Digital signal processing

Digital signal processing (DSP) is the use of <a href="/facts/Digital_processing/JChckAvr">digital processing</a>, such as by computers or more specialized <a href="/facts/Digital_signal_processor/YuBXweos">digital signal processors</a>, to perform a wide variety of <a href="/facts/Signal_processing/Npaja6zb">signal processing</a> operations. The <a href="/facts/Digital_signal/pKYKbxfK">digital signals</a> processed in this manner are a sequence of numbers that represent <a href="/facts/Sampling_(signal_processing)/xxck7aLN">samples</a> of a <a href="/facts/Continuous_variable/TWl5feEw">continuous variable</a> in a domain such as time, space, or frequency. In <a href="/facts/Digital_electronics/3kJcKbkw">digital electronics</a>, a digital signal is represented as a <a href="/facts/Pulse_train/CEPen7fY">pulse train</a>, which is typically generated by the switching of a <a href="/facts/Transistor/Bmr8zwL0">transistor</a>.
Digital signal processing and <a href="/facts/Analog_signal_processing/rW6A94TE">analog signal processing</a> are subfields of signal processing. DSP applications include <a href="/facts/Audio_signal_processing/HXvBpspA">audio</a> and <a href="/facts/Speech_processing/jUjXoYwc">speech processing</a>, <a href="/facts/Sonar/0Rg2G40e">sonar</a>, <a href="/facts/Radar/jk9BTbFA">radar</a> and other <a href="/facts/Sensor_array/LEuhQDY5">sensor array</a> processing, <a href="/facts/Spectral_density_estimation/JefWFBsx">spectral density estimation</a>, <a href="/facts/Statistical_signal_processing/Npaja6zb">statistical signal processing</a>, <a href="/facts/Digital_image_processing/zenalNCf">digital image processing</a>, <a href="/facts/Data_compression/gMFuY4FT">data compression</a>, <a href="/facts/Video_coding/Dmzykxmn">video coding</a>, <a href="/facts/Audio_coding/qHAhppfD">audio coding</a>, <a href="/facts/Image_compression/q9bfesUr">image compression</a>, signal processing for <a href="/facts/Telecommunications/vxoj1cxR">telecommunications</a>, <a href="/facts/Control_system/8CEjIDlS">control systems</a>, <a href="/facts/Biomedical_engineering/TNAa3sqa">biomedical engineering</a>, and <a href="/facts/Seismology/Lony1LYX">seismology</a>, among others.
DSP can involve linear or nonlinear operations. Nonlinear signal processing is closely related to <a href="/facts/Nonlinear_system_identification/XnBWbGdF">nonlinear system identification</a> and can be implemented in the <a href="/facts/Time_domain/1w6mP2MU">time</a>, <a href="/facts/Frequency_domain/pyTVrUSq">frequency</a>, and <a href="/facts/Spacetime/uRIN1x4b">spatio-temporal domains</a>.
The application of digital computation to signal processing allows for many advantages over analog processing in many applications, such as <a href="/facts/Error_detection_and_correction/o2rH8e3n">error detection and correction</a> in transmission as well as <a href="/facts/Data_compression/gMFuY4FT">data compression</a>. Digital signal processing is also fundamental to <a href="/facts/Digital_electronics/3kJcKbkw">digital technology</a>, such as <a href="/facts/Digital_telecommunication/1yAhaANd">digital telecommunication</a> and <a href="/facts/Wireless_communications/GfDoFwfo">wireless communications</a>. DSP is applicable to both <a href="/facts/Streaming_data/b60xXuKf">streaming data</a> and static (stored) data.

Digital signal processing open-in-new

Digital signal processing