Signal processing

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Signal Processing

Signal processing (pronunciation: /ˈsɪɡnəl ˈprɒsɛsɪŋ/) is a subfield of Electrical Engineering and Applied Mathematics that deals with the analysis, interpretation, and manipulation of signals. Signals of interest can include sound, images, time-varying measurement values, and sensor data, for example, biological data such as electrocardiograms, control system signals, telecommunication transmission signals, and many others.

Etymology

The term "signal" comes from the Latin word "signum", meaning a sign or mark. "Processing" originates from the Latin word "processus", meaning to advance or proceed. Thus, signal processing essentially means to advance or proceed with signals.

Related Terms

  • Digital Signal Processing: A method used to analyze, modify, or otherwise manipulate signals that have been converted into a digital format.
  • Analog Signal Processing: The analysis and processing of signals that have not been digitized and remain in their original, analog format.
  • Statistical Signal Processing: A branch of signal processing that deals with the analysis of random signals.
  • Image Processing: A type of signal processing where the input is an image and the output could be an image or a set of characteristics or parameters related to the image.
  • Audio Signal Processing: Sometimes referred to as audio processing, it is the intentional alteration of auditory signals, or sound.
  • Data Compression: The process of reducing the amount of data needed for the storage or transmission of a given piece of information, typically by use of encoding techniques.
  • Filter (Signal Processing): A device or process that removes from a signal some unwanted component or feature.

See Also

External links

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