- 2077 Chaitra · 2 marks
Why DTFS uses only one period
Short answer
In continuous time, all harmonics e^{j k ω0 t} are distinct, requiring an infinite sum to represent signals with sharp transitions. In discrete time, e^{j (k+N) (2π/N) n} = e^{j k (2π/N) n}, so only N distinct harmonics exist; the series is a finite sum over one period.
A continuous time Fourier Series is evaluated over infinite duration while a discrete time Fourier series is evaluated over one time period only. Why?
The difference comes from how many distinct harmonics each signal can have:
- Continuous time: the exponentials are all different for every integer ; a higher is always a faster oscillation. A CT periodic signal (e.g. a square wave with sharp jumps) may need infinitely many harmonics, so the synthesis sum runs from to , and convergence must be examined (Dirichlet conditions).
- Discrete time: , because is an integer. Only distinct exponentials exist, so both the synthesis and analysis sums need only one period ( terms) and the coefficients repeat, . The DTFS is a finite sum, so it always exists and has no convergence problem.
In both cases the analysis is done over one period of the signal; the "infinite" range in CT refers to the infinite number of harmonic terms needed.
✓ Answer checked by Claude Opus 5.5 (high effort)
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