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Definition: An LTI system that depends only on the present and past values of the input to the system.  A system that is not causal depends on future values of the input to the system.
 
Definition: An LTI system that depends only on the present and past values of the input to the system.  A system that is not causal depends on future values of the input to the system.
  
Examples: y(t) = x(t) + t + 2 - Causal because the input values are depending on the present time
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Examples: <math>y(t) = x(t) + t + 2</math> - Causal because the input values are depending on the present time
 
           <math>y(t) = \int_t^\infty x(t) dt</math>
 
           <math>y(t) = \int_t^\infty x(t) dt</math>

Revision as of 18:02, 1 July 2009

Causal Systems

Definition: An LTI system that depends only on the present and past values of the input to the system. A system that is not causal depends on future values of the input to the system.

Examples: $ y(t) = x(t) + t + 2 $ - Causal because the input values are depending on the present time

         $ y(t) = \int_t^\infty x(t) dt $

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