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.