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3 cards from this section. Quick, good the night before a test.
What is leakage in frequency analysis?
Think about how frequency peaks might be changed.
Name a common windowing function.
Consider functions used to smooth signals.
What is the main cause of leakage in frequency analysis?
Focus on how alignment affects the representation.
True or False: Applying a windowing function before FFT can help to reduce leakage.
Think about how changing a signal can impact its analysis.
A signal shows two distinct frequency peaks at 10 Hz and 50 Hz, but due to leakage, only a peak at 40 Hz is observed in the spectrum. Discuss how this misrepresentation can critically impact the application in monitoring.
Consider what happens when frequencies that signify problems are masked.
Given a signal sampled over a short duration with a specified sampling rate, calculate the expected frequency resolution and discuss the potential impact of leakage in this context.
Relate the sampling and duration terms back to resolution in frequency analysis.
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