Spectral leakage occurs when a signal is not periodic within the sampling window, causing energy from the signal to spread into adjacent frequency bins during the Fourier transform process. This phenomenon can lead to distortions in the frequency representation of the signal, making it difficult to accurately interpret its true frequency content. Understanding spectral leakage is crucial in time series analysis and spectral techniques, as it affects the resolution and clarity of the spectral data.
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