(Non-periodic Functions)
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A non-periodic function does not remain self-similar for all integer multiples of its period.  A decaying exponential is an example of a non-periodic function.  The distance between consecutive peaks does not remain constant for all values of <math>x</math>, nor does the amplitude of consecutive peaks remain constant.  Presented here is the function <math>f(t)=e^{0.2t}*sin(10t)</math>.
 
A non-periodic function does not remain self-similar for all integer multiples of its period.  A decaying exponential is an example of a non-periodic function.  The distance between consecutive peaks does not remain constant for all values of <math>x</math>, nor does the amplitude of consecutive peaks remain constant.  Presented here is the function <math>f(t)=e^{0.2t}*sin(10t)</math>.
  
[[Image:Nonperiodic_blaskows_ECE301Fall2008mboutin.jpg|frame|center|An example of a non-periodic function <math>f(t)=e^{0.2t}*sin(10t)</math>.]]
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[[Image:Nonperiodic_blaskows_ECE301Fall2008mboutin.jpg|frame|center|An example of a non-periodic function <math>f(t)=e^{0.2t}sin(10t)</math>.]]

Revision as of 06:04, 3 September 2008

Periodic Functions

The function $ f(t)=sin(t-T) $ is periodic, with a period of $ T=2\pi $. This means that for $ T=2n\pi $, n an integer, the function will be unchanged from when $ T=0 $.

An example of a periodic function $ f(t)=sin(t-T) $. The dashed red line represents various values of $ T $ from $ T=0 $ to $ T=2\pi $. One can see that when $ T=2\pi $, the function is unchanged.

Non-periodic Functions

A non-periodic function does not remain self-similar for all integer multiples of its period. A decaying exponential is an example of a non-periodic function. The distance between consecutive peaks does not remain constant for all values of $ x $, nor does the amplitude of consecutive peaks remain constant. Presented here is the function $ f(t)=e^{0.2t}*sin(10t) $.

An example of a non-periodic function $ f(t)=e^{0.2t}sin(10t) $.

Alumni Liaison

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

Landis Huffman