(Memoryless & Memory Systems)
(Non-casual System)
 
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==Part A: Understanding System’s Properties==
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== Causal & Non-casual Systems==
  
=== Memoryless & Memory Systems===
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===Casual System===
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'''Casual system''' is a system where the output <math>y(t)</math> at some specific instant <math>t_0</math> only depends on the input <math>x(t)</math> for value of <math>t</math> less than or equal to <math>t_0</math>.
  
====Memoryless System====
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====Example====
'''Memoryless system'''
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Memoryless system
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:<math>y \left( t \right) = 1 + x \left( t \right) \cos \left( \omega t \right)</math>
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===Non-casual System===
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'''Non-casual system''' is a system that has some dependence on input values from the future (in addition to possible dependence on past or current input values).
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====Example====
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:<math>y(t)=\int_{-\infty}^{\infty } \sin (t+\tau) x(\tau)\,d\tau</math>

Latest revision as of 16:45, 19 September 2008

Causal & Non-casual Systems

Casual System

Casual system is a system where the output $ y(t) $ at some specific instant $ t_0 $ only depends on the input $ x(t) $ for value of $ t $ less than or equal to $ t_0 $.

Example

Memoryless system

$ y \left( t \right) = 1 + x \left( t \right) \cos \left( \omega t \right) $

Non-casual System

Non-casual system is a system that has some dependence on input values from the future (in addition to possible dependence on past or current input values).

Example

$ y(t)=\int_{-\infty}^{\infty } \sin (t+\tau) x(\tau)\,d\tau $

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman