Difference between revisions of "Signal processing"

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'''Signal processing''' is an enabling technology that encompasses the fundamental theory, applications, [[Algorithm|algorithms]], and implementations of processing or transferring [[information]] contained in many different physical, symbolic, or abstract formats broadly designated as [[Signal|signals]].
 
'''Signal processing''' is an enabling technology that encompasses the fundamental theory, applications, [[Algorithm|algorithms]], and implementations of processing or transferring [[information]] contained in many different physical, symbolic, or abstract formats broadly designated as [[Signal|signals]].
 
(TO DO: expand, organize, cross-reference, illustrate.)
 
  
 
== Description ==
 
== Description ==
  
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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Signal processing 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.
  
 
== See also ==
 
== See also ==

Revision as of 06:41, 4 February 2016

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.

Description

Signal processing 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