Line 40: Line 40:
  
 
==[[Time Invariance_Old Kiwi]]==
 
==[[Time Invariance_Old Kiwi]]==
 +
 +
A system is time invariant if a shift in the time domain corresponds to the same shift in the output.
 +
 +
*Example of a '''time invariant''' system:
 +
<math>y(t) = x(t) \mapsto y(t - t_0) = x(t - t_0)</math>
 +
 +
*Example of a '''time variant''' system:
 +
<math>y(t) = \sin t x(t) \mapsto y(t - t_0) \neq \sint t x(t - t_0)</math>
  
 
==[[Linearity_Old Kiwi]]==
 
==[[Linearity_Old Kiwi]]==

Revision as of 23:06, 17 June 2008

The six basic properties of Systems_Old Kiwi

Memory_Old Kiwi

A system with memory has outputs that depend on previous (or future) inputs.

  • Example of a system with memory:

$ y(t) = x(t - \pi) $

  • Example of a system without memory:

$ y(t) = x(t) $

Invertibility_Old Kiwi

An invertible system is one in which there is a one-to-one correlation between inputs and outputs.

  • Example of an invertible system:

$ y(t) = x(t) $

  • Example of a non-invertible system:

$ y(t) = |x(t)| $

In the second example, both x(t) = -3 and x(t) = 3 yield the same result.

Causality_Old Kiwi

A causal system has outputs that only depend on current and/or previous inputs.

  • Example of a causal system:

$ y(t) = x(t) + x(t - 1) $

  • Example of a non-causal system:

$ y(t) = x(t) + x(t + 1) $

Stability_Old Kiwi

There are many types of stability, for this course, we first consider BIBO_Old Kiwi (Bounded Input Bounded Output) stability.

A system is BIBO stable if, for all bounded inputs ($ \exist B \epsilon \Re, x(t) < B $), the output is also bounded ($ y(t) < \infty $)

Time Invariance_Old Kiwi

A system is time invariant if a shift in the time domain corresponds to the same shift in the output.

  • Example of a time invariant system:

$ y(t) = x(t) \mapsto y(t - t_0) = x(t - t_0) $

  • Example of a time variant system:

$ y(t) = \sin t x(t) \mapsto y(t - t_0) \neq \sint t x(t - t_0) $

Linearity_Old Kiwi

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett