ASN3 - Class Notes October 5: Difference between revisions

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<math> X(F)= \mathcal{F}[x(t)] \int_{-\frac{T}{2}}^{\frac{T}{2}} x(t')e^{\frac{ -j2 \pi nt'}{T}} dt' \!</math>
<math> X(F)= \mathcal{F}[x(t)] \int_{-\frac{T}{2}}^{\frac{T}{2}} x(t')e^{\frac{ -j2 \pi nt'}{T}} dt' \!</math>


Using the Fourier Transform property along with  <math> \lim_{T\to \infty} n/t = f </math> then <math >x(t)</math> is now
Using the Fourier Transform property along with  <math> \lim_{T\to \infty} n/t = f </math> then  


<math> x(t)=  \int_{-\infty} ^ {\infty} [\int_{-\infty} ^ {\infty} x(t')e^{ -j2 \pi ft'} dt'] e^{ j2 \pi ft}df \!</math>
<math> x(t)=  \int_{-\infty} ^ {\infty} [\int_{-\infty} ^ {\infty} x(t')e^{ -j2 \pi ft'} dt'] e^{ j2 \pi ft}df \!</math>
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<math> x(t)=  \int_{-\infty} ^ {\infty} x(t')\delta_(t'-t) dt'  \!</math>
<math> x(t)=  \int_{-\infty} ^ {\infty} x(t')\delta_(t'-t) dt'  \!</math>
Using such techniquies as we did above (refered to as The Game in Signals and Systems), similar equations can be manipulated to find its output of Linear Invarient System.


                       THE GAME
                       THE GAME

Latest revision as of 22:34, 17 December 2009

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When T is very large (approaching infinity) the quanity on the left transforms to be approximately the quanity on the right.

limT


1/Tdf

n/Tf

n=1T()df


Using the relations above, can we make an unperiodic signal such as the one given below and make it periodic by taking the limit?

x(t)=limT1T(T2T2x(t)ej2πntTdt)ej2πntT

note that X(F)=[x(t)]T2T2x(t)ej2πntTdt

Using the Fourier Transform property along with limTn/t=f then

x(t)=[x(t)ej2πftdt]ej2πftdf

Reordering order of integration

x(t)=x(t)[ej2πf(tt)df]dt

note that the defination of the delta function is ej2πf(tt)df

x(t)=x(t)δ(tt)dt

Using such techniquies as we did above (refered to as The Game in Signals and Systems), similar equations can be manipulated to find its output of Linear Invarient System.


                     THE GAME
            LTI (Linear Time Invariant System) 
Input     LTI                             Output                                  Reason

x(t)x(t)δ(tt)dt Superposition

X(f)X(f)δ(ff)df Superposition