Frequency-domain Data
Frequency-domain data refers to data that has been transformed from the time-domain to the frequency-domain using mathematical techniques such as Fourier transforms. In the frequency-domain, data is represented as a combination of sinusoidal waves with different frequencies, amplitudes, and phases. This transformation is useful in data science and artificial intelligence because it allows for the analysis of signals and patterns that may not be easily detectable in the time-domain. By analyzing the frequency components of a signal, it is possible to identify patterns and relationships that may not be apparent in the raw data. This technique is commonly used in fields such as signal processing, image processing, and audio analysis.
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