As I know the Fourier transform of $\delta(t)$ is equal to $1$, on the other hand, shift with $a$ in time domain is equal to multiplying with $e^{-jaw}$ so the Fourier transform of $\delta(t-a)$ is equal to $e^{-jaw}$, but on the other hand the Fourier transform of Dirac comb ($\sum_{n=-\infty}^{+\infty}\delta(t-nT)$which is equal to sum of Dirac functions) is also another Dirac comb, This doesn't make sense to me. The Fourier transform of Dirac comb should be sum of the $e^{-jnTw}$.


Your argumentation is perfectly right. The only thing you are missing is that the sum of complex exponentials becomes a comb function in the limit. See also this link and this matlab code:

N = 2048;
n = (0:(N-1))';

k = 4*(0:20);

signals = zeros(N,length(k));
for kk = 1:length(k)
    signals(:,kk) = exp(-1j*2*pi*k(kk).*n/N);

plot(abs(sum(signals, 2)));

Code output diagram

  • $\begingroup$ Is it okay to say that "The sum of complex exponentials is Fourier series expansion of Fourier transform of Dirac comb" $\endgroup$ – Navin Prashath Nov 12 '16 at 13:02

I wrote about this exact problem - an impulse train in time has a Fourier Transform that is another impulse train, although signals narrow in time should have a wide spectral representation - in my recent article on DSPrelated.

  • 1
    $\begingroup$ Your article is amazing! $\endgroup$ – user137927 Nov 17 '16 at 20:03

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