Digital Signal Processing
Digital Signal Processing (DSP) is a subfield of Electrical Engineering that deals with the manipulation of information signals in the digital domain. Pronounced as /ˈdɪdʒɪtəl ˈsɪɡnəl prəˈsɛsɪŋ/, the term is derived from the words 'digital', 'signal', and 'processing', which in turn originate from the Latin 'digitus' (finger, as in counting), the Latin 'signalis' (signal), and the Latin 'processus' (process).
Overview
Digital Signal Processing involves the use of mathematical algorithms to modify or analyze information signals. This can include tasks such as filtering, compression, and analysis of signals. The signals can be in the form of sound, images, or any other type of data that can be converted into a digital format.
Applications
Digital Signal Processing has a wide range of applications in various fields such as Telecommunications, Medicine, audio processing, image processing, and Seismology.
Related Terms
- Discrete Fourier Transform: A mathematical technique used in Digital Signal Processing to convert a sequence of values into a sequence of frequencies.
- Fast Fourier Transform: An algorithm to compute the Discrete Fourier Transform and its inverse in a more efficient manner.
- Z-Transform: A mathematical tool used in Digital Signal Processing to analyze and represent discrete-time signals.
- Convolution: A mathematical operation that is a special kind of integral transform integral in signal processing.
See Also
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