Spectral estimation refers to the process of determining the power spectrum of a signal or time series, which reveals how the variance of a signal is distributed across different frequency components. This technique is crucial in analyzing signals to identify periodicities and trends that may not be immediately visible in the time domain. By transforming data into the frequency domain, spectral estimation aids in understanding underlying structures and behaviors within the data.
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