Despite its usefulness, spectral analysis has some limitations:
Data Quality: The accuracy of spectral analysis depends on the quality and completeness of the data. Complexity: The technique can be mathematically complex and may require specialized knowledge and software. Assumptions: Spectral analysis assumes that the time series is stationary, which may not always be the case. Interpretation: The results can sometimes be difficult to interpret, especially when multiple frequencies are involved.
