(New page: == Causality == A system is said to be causal if the output <math>Y[n]</math> at <math>n0</math> depends only on the input <math>X[n]</math> at <math>n<no</math> In other words The outp...)
 
 
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== Causality ==
 
== Causality ==
  
A system is said to be causal if the output <math>Y[n]</math> at <math>n0</math> depends only on the input <math>X[n]</math> at <math>n<no</math>
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A system is said to be '''causal''' if the output '''<math>Y[n]</math>''' at '''<math>n0</math>''' depends only on the input '''<math>X[n]</math>''' at '''<math>n<no</math>'''
  
 
In other words
 
In other words
  
The output signal <math>Y[n]</math> of a causal system is dependent only on the present and past samples of the input signal, x(n) and not on any future samples of the input
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The output signal '''<math>Y[n]</math>''' of a causal system is dependent only on the present and past samples of the input signal, '''X(n)''' and not on any future samples of the input
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== Non-Causality ==
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A system is said to be '''non-causal''' if the output '''<math>Y[n]</math>''' at '''<math>n0</math>''' depends on future values of input '''<math>X[n]</math>''' <math>i.e</math> at '''<math>n>n0</math>'''

Latest revision as of 12:45, 18 September 2008

Causality

A system is said to be causal if the output $ Y[n] $ at $ n0 $ depends only on the input $ X[n] $ at $ n<no $

In other words

The output signal $ Y[n] $ of a causal system is dependent only on the present and past samples of the input signal, X(n) and not on any future samples of the input


Non-Causality

A system is said to be non-causal if the output $ Y[n] $ at $ n0 $ depends on future values of input $ X[n] $ $ i.e $ at $ n>n0 $

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva