It is difficult to describe how Fourier time series analysis helps with signal processing without going into deep detail. Basically, it helps to manipulate the data to be understood in a simpler way. For the complete detailed explanation one can view Wikipedia "Fourier Analysis".
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Fourier time series analysis helps in decomposing a complex signal into its constituent frequencies, allowing for better understanding of the signal's frequency content. This analysis is fundamental in areas like signal filtering, spectral analysis, and noise reduction in signal processing. It also aids in identifying and isolating specific frequency components within a signal.