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Fourier transform of periodic sequences
Short answer
A periodic sequence is not absolutely summable, so its DTFT consists of impulses. Compute the DTFS coefficients a_k, then X(e^{jw}) = sum 2pi a_k delta(w - 2pi k/N).
Derive the expression of Discrete Time Fourier Transform for periodic sequence (how do you calculate the Fourier transform of a periodic sequence?).
A periodic sequence is not absolutely summable, so its DTFT does not exist in the ordinary sense. It is found by allowing impulses in the frequency domain: each Fourier series term becomes a train of impulses.
Step 1: DTFT of a single complex exponential
Consider the spectrum consisting of impulses of area at , repeated every :
Its inverse DTFT, taken over one period of that contains only the impulse at , is
Hence
Step 2: Periodic sequence as a sum of exponentials
A periodic with period has the DTFS
Step 3: Apply linearity
Each term gives impulses of area at . Since is periodic in with period , the impulses for all and can be combined into one sum over all integers :
Procedure: find the DTFS coefficients , then place an impulse of area at each frequency .
X(e^jw)
2pi a0 2pi a1 2pi a0 (repeat)
^ ^ ^ ^
| ^ | | |
------+---+----+------+------+---- w
0 2pi/N 4pi/N ... 2pi
Example: periodic impulse train
has for all , so
An impulse train in time gives an impulse train in frequency.
Example 2: gives .
✓ Answer checked by Claude Opus 5.5 (high effort)
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