Hi,a question regarding Fourier transform and energy of a signals

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SUMMARY

This discussion centers on the application of Parseval's theorem for calculating the energy and power of signals in the context of Fourier transforms. The user initially struggles with the concept of energy versus power, specifically in relation to decaying signals and the integration of squared functions over time. The conversation highlights the utility of transformation tables for simplifying the process of transforming functions from the time domain to the frequency domain. Ultimately, the user successfully applies Parseval's theorem to compute energy and power, demonstrating the effectiveness of this approach in signal analysis.

PREREQUISITES
  • Understanding of Fourier transforms and their applications
  • Familiarity with Parseval's theorem and its implications
  • Knowledge of signal energy and power calculations
  • Ability to perform integrals of functions over specified intervals
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  • Study the application of Parseval's theorem in various signal scenarios
  • Learn about transformation tables for Fourier transforms
  • Explore advanced techniques for calculating energy and power of signals
  • Review convolution properties and their relevance to signal processing
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Students and professionals in electrical engineering, particularly those focused on signal processing, as well as anyone preparing for exams involving Fourier analysis and energy calculations of signals.

berdan
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Somehow I have really hard time wrapping my head around the concept.I mean,I get it,but I can't seem to solve any questions regarding it.

Here are some examples ,and I just get stuck.Its a part of test,so I think it shouldn't be that hard to solve,and if it looks hard,I know there are some tricks but I just don't know them.

http://imageshack.us/photo/my-images/27/3ght.jpg/

1)Need to find energy of a signal (why not power,and only energy)?

2)Need to find energy and power of signal,and the third is the same.

So,I know that energy of decaying signals is just integral of squared of the function over time.
But that is one nasty integral,and as it is from exam,I understand there should be something trick that makes it more tolerable to solve.
Now I know that it is possible using Parsevel theorem to do the same integral in frequency domain,and some time it is easier,but how do I transform that function ? (I think we can use some ready transformation tables).

2 and 3,I'm just lost.I know I need to find some coeficients ,square them and sum them up,to get the power.How on Earth I find them?
 
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1) if the energy is finite then you can find it; else you must work with power, the rate of energy flow.

Parseval's theorem has several corollaries which should be in your textbook or course notes, based on convolutions.

Here are some applicable notes: http://ocw.usu.edu/electrical_and_computer_engineering/signals_and_systems/5_10node10.html
 
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Ok,so I understood how to solve first one using Parseval theorem - I transformed the signal from time to w using "usefull transformation" formula page .
Second one : I did integral from 0-8 seconds to find the energy.Which is just (2^2)*2+(1^2)*1=9
The power is just energy divided by its period time = 9/8 ?

Thanks.
 

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