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2 cards from this section. Quick, good the night before a test.
Define Gaussian noise in your own words.
Think about how sound can fluctuate randomly.
Provide an example of impulse noise.
Consider sudden sounds that interrupt normal audio.
What type of noise follows a normal distribution?
Think about the bell curve and fluctuations in signals.
True or False: Impulse noise is characterized by random continuous disruptions.
Compare it with how Gaussian noise appears.
How would you develop a noise reduction algorithm capable of distinguishing between Gaussian noise and impulse noise?
Consider using filters that are sensitive to these characteristics.
Given a signal compromised by both Gaussian and impulse noise, design a strategy for restoring the original signal.
Utilize the specific strengths of different filters.
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