Fourier transform of the auto correlation function to get energy

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thomas49th
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Homework Statement



The Fourier transform of the auto correlation function is the energy spectral density (ESD) of a signal. Here is the "apparent" proof:

[tex]\int e^{-jwT} [ \int g(t)g(t+T)dt] dT[/tex]
=> [tex]\int g(t)[ \int g(T+t)e^{-jwT}dT] dt[/tex]

What happened here? Why did the second integral change from t to T, why did t+T turn to T+t and the exponent change from jwt to jwT?

Thanks
Thomas
 
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Your first expression looks wrong.
thomas49th said:

[tex]\int e^{-jwt} [ \int g(t)g(t+T)dt] dt[/tex]


IF the first integral (the one inside []) is over t, then the resulting function is independent of t, so second integral with the same t will be trivial. You might want to check the source again for a possible typo. Here is what I think it should look like

[tex]\int e^{-jwT} [ \int g(t)g(t+T)dt] dT[/tex]

From which the second expression can be obtained.
 
you're right - i amended it in the first post. but I'm still stuck on it :\
 
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sorry... i don't see? How can you just flip around variables of function arguments?
 
You can pull the exponential into the inside integral to get

[tex]\int e^{-jwT} \int g(t) g(t+T)\,dt\,dT = \int \int e^{-jwT} g(t) g(t+T)\,dt\,dT[/tex]

Now switch the order of integration and then pull out the factors that don't depend on T from the inside integral.
 
what do you mean by order of integration. A quick Google seems to point me at double integration. Something which I haven't done yet. If it is double integration I question the material of my course, seeing as they haven't introduced that concept yet.