Difference between revisions of "Signal processing"
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It uses [[Mathematics|mathematical]], statistical, computational, heuristic, and linguistic representations, formalisms, and techniques for representation, modelling, analysis, synthesis, discovery, recovery, sensing, acquisition, extraction, learning, security, or forensics. | It uses [[Mathematics|mathematical]], statistical, computational, heuristic, and linguistic representations, formalisms, and techniques for representation, modelling, analysis, synthesis, discovery, recovery, sensing, acquisition, extraction, learning, security, or forensics. | ||
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== See also == | == See also == | ||
Revision as of 11:08, 10 September 2015
Signal processing is an enabling technology that encompasses the fundamental theory, applications, algorithms, and implementations of processing or transferring information contained in many different physical, symbolic, or abstract formats broadly designated as signals.
(TO DO: expand, organize, cross-reference, illustrate.)
Description
It uses mathematical, statistical, computational, heuristic, and linguistic representations, formalisms, and techniques for representation, modelling, analysis, synthesis, discovery, recovery, sensing, acquisition, extraction, learning, security, or forensics.
See also
External links
- Signal processing @ Wikipedia
