3 - Non-periodic Functions: Difference between revisions

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New page: Lets look at what happens if our signals are not periodic. We can achieve this by setting our period T to infinity such that <math>\lim_{T \to \infty}\sum_{n=-\infty}^\infty (1/T\int_{-T/2...
 
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'''Look carefully at the signs in your exponential for the Fourier transform (<math>e^{-j2\pi ft}</math>) and its inverse (<math>e^{j2\pi ft}</math>).  It is correct in the integral form, but not in the bra-ket notation that follows... -Brandon'''
Lets look at what happens if our signals are not periodic. We can achieve this by setting our period T to infinity such that
Lets look at what happens if our signals are not periodic. We can achieve this by setting our period T to infinity such that
<math>\lim_{T \to \infty}\sum_{n=-\infty}^\infty (1/T\int_{-T/2}^{T/2} x(t^')e^{-j2\pi nt^'/T}dt^')e^{j2\pi nt/T},\!</math> <br> where <br>
<math>\lim_{T \to \infty}\sum_{n=-\infty}^\infty (1/T\int_{-T/2}^{T/2} x(t^')e^{-j2\pi nt^'/T}dt^')e^{j2\pi nt/T},\!</math> <br> where <br>

Latest revision as of 16:47, 29 November 2009

Look carefully at the signs in your exponential for the Fourier transform (e−j2πft) and its inverse (ej2πft). It is correct in the integral form, but not in the bra-ket notation that follows... -Brandon


Lets look at what happens if our signals are not periodic. We can achieve this by setting our period T to infinity such that limT→∞∑n=−∞∞(1/T∫−T/2T/2x(t')e−j2πnt'/Tdt')ej2πnt/T,
where
1/T∫−T/2T/2x(t')e−j2πnt'/Tdt'=αn
first we need to remove the restiction x(t) = x(t + T) by following these steps.
1/T ⟹df
n/T ⟹df
∑n=−∞∞1/T⟹∫−∞∞()df
αn⟹X(f)
this leads us to the equation
x(t)=limT→∞∑n=−∞∞(1/T∫−T/2T/2x(t')e−j2πnt'/Tdt')ej2πnt/T,
and if we replace n/T with f and take the integral with respect to f we get
x(t)=∫−∞∞(∫−∞∞x(t')e−j2πft'dt')ej2πftdf,
where ∫−∞∞x(t')e−j2πft'dt'=X(f)
simplifying the equation to
x(t)=∫−∞∞X(f)ej2πftdf=<X(f)|ej2πft> = Inverse Fourier Transform
and
X(f)=∫−∞∞x(t)e−j2πftdt=<x(t)|ej2πft>=Fourier Transform
Now using the x(t) equation and rearranging it gives us x(t)=∫−∞∞(∫−∞∞x(t')e−j2πft'dt')ej2πftdf=∫−∞∞x(t')(∫−∞∞ej2πf(t−t')df)dt'
where
ej2πf(t−t')=δ(t−t')
Similarly for X(f)
X(f)=∫−∞∞(∫−∞∞X(f')ej2πf'tdf')e−j2πftdt=∫−∞∞X(f')(∫−∞∞ej2πt(f'−f)dt)df'
where
ej2πt(f'−f)=δ(f'−f)=δ(f−f')

This works out nicely for us in both the time and frequency domain because this give us the inpulse function for both where they are non-zero only when t = t' or f = f' depending on which equation you use