Question:

Synthesize a strategy for minimizing leakage effect in the DFT analysis of signals with finite duration. The most effective approach is:

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Use Hamming, Hanning, or Blackman windows to smooth signal edges and minimize DFT leakage.
Updated On: June 02, 2025
  • Applying a rectangular window to the signal before computing the DFT
  • Increasing the length of the DFT to include more zero-padding
  • Utilizing a window function that tapers the beginning and end of the signal
  • Reducing the sample rate to decrease the resolution of the DFT
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The Correct Option is C

Solution and Explanation

The leakage effect in Discrete Fourier Transform (DFT) analysis occurs when a signal that is not perfectly periodic within the observation window is transformed, leading to spectral spreading.
To mitigate this, the best method is to apply a tapered window function (such as Hamming, Hanning, or Blackman windows) to the signal. These functions gradually reduce the signal amplitude at the edges, thereby:
  • Minimizing abrupt discontinuities at boundaries,
  • Reducing spectral leakage by smoothing out edge effects,
  • Improving the frequency domain representation.
Why the other options are not effective:
  • (A) A rectangular window does not taper the signal, so it worsens leakage.
  • (B) Zero-padding increases resolution but doesn't reduce leakage.
  • (D) Lowering the sample rate reduces bandwidth and can introduce aliasing without addressing leakage.
Hence, using a window that tapers the signal edges is the most effective strategy to reduce DFT leakage.
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