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4 cards from this section. Quick, good the night before a test.
Define Gaussian noise.
Think about random noise characteristics.
What is impulse noise?
Consider sudden disruptions in signals.
What is Gaussian noise?
Consider its distribution characteristics.
True or False: Median filtering can effectively preserve edges in a signal while reducing impulse noise.
Focus on the properties of median versus average.
You have a noisy audio recording with both Gaussian and impulse noise present. Describe the steps you would take to clean this recording, including the rationale for your chosen methods.
Think about the order in which you apply each technique.
How does the choice of neighborhood size in median and Wiener filtering affect the noise reduction? Provide a detailed comparison.
Consider the trade-offs between noise reduction and detail preservation.
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