Wednesday, June 20, 2018

fourier transform - Derive Frequency Representation of Impulse Train Function


I want to walk through the derivation of the frequency representation of an impulse train.


The definition of the impulse train function with period T and the frequency representation with sampling frequency Ωs=2π/T that I would like to derive is:


s(t)=n=δ(tnT)S(jΩ)=2πTk=δ(ΩkΩs)


Using the exponential Fourier series representation of the impulse function and applying the Fourier transform from there results in:


s(t)=1Tn=ejnΩstS(jΩ)=s(t)ejΩtdtS(jΩ)=1Tn=ejnΩstejΩtdtS(jΩ)=1Tk=ej(kΩs+Ω)tdt


To get from there to the end result, it would seem that the integration would need to be over a period of 2π. Where Ω=kΩs, the exponent would be e0 and integrate to 2π and for other values of Ω, there would be a full sine wave that would integrate to zero. However, the limits of integration are negative infinity to positive infinity. Can someone explain this? Thanks!




Answer



You correctly figured out that the occurring integrals don't converge in the conventional sense. The easiest (and definitely non-rigorous) way to see the result is by noting the Fourier transform relation


12πδ(Ω)


By the shifting/modulation property we have


ejΩ0t2πδ(ΩΩ0)


So each term ejnΩst in the Fourier series transforms to 2πδ(ΩnΩs), and the result follows.


No comments:

Post a Comment

periodic trends - Comparing radii in lithium, beryllium, magnesium, aluminium and sodium ions

Apparently the of last four, MgX2+ is closest in radius to LiX+. Is this true, and if so, why would a whole larger shell ($\ce{...