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Signal Processingdata~5 mins

Spectral leakage concept in Signal Processing - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is spectral leakage in signal processing?
Spectral leakage happens when a signal's energy spreads into nearby frequencies in its spectrum, making it hard to see the true frequency clearly.
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intermediate
Why does spectral leakage occur when using the Discrete Fourier Transform (DFT)?
Because the DFT assumes the signal is periodic and repeats exactly in the sample window, if the signal doesn't fit perfectly, the edges cause energy to spread into other frequencies.
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beginner
How can windowing help reduce spectral leakage?
Windowing smooths the edges of the signal by tapering it down at the start and end, which reduces sudden jumps and lowers leakage in the frequency spectrum.
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intermediate
What is the effect of spectral leakage on frequency resolution?
Spectral leakage blurs frequency components, making it harder to distinguish close frequencies and reducing the clarity of the spectrum.
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beginner
Name a common window function used to reduce spectral leakage.
The Hamming window is a popular choice to reduce spectral leakage by gently tapering the signal edges.
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What causes spectral leakage in a Discrete Fourier Transform?
AApplying a window function
BUsing too many samples
CSampling at the Nyquist rate
DSignal not fitting exactly in the sample window
Which technique helps reduce spectral leakage?
AIncreasing sampling rate
BWindowing the signal
CUsing fewer samples
DIgnoring the signal edges
What is a common symptom of spectral leakage in a frequency spectrum?
AEnergy spreading into nearby frequencies
BSharp, clear peaks
CNo visible frequency components
DSignal amplitude increasing
Which window function is often used to reduce spectral leakage?
ARectangular window
BRandom window
CHamming window
DNo window
Spectral leakage mainly affects which aspect of frequency analysis?
AFrequency resolution
BSampling rate
CSignal amplitude
DTime duration
Explain spectral leakage and why it happens in simple terms.
Think about how cutting a signal abruptly affects its frequency picture.
You got /4 concepts.
    Describe how windowing helps reduce spectral leakage and name a common window used.
    Imagine gently fading the signal at start and end.
    You got /3 concepts.