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The Fourier series is used to express a periodic signal as a combination of sinusoidal waves, meaning that we have a resultant signal that is made up of a combination of those sine waves. The Fourier transform is a formula that is used to transform a signal that was recorded in either time or space to the same signal sampled in the temporal or spatial frequency. Using this we can help find the frequency components of these signals. In real applications, signals can be muddied with noise which can hide their frequency components. The Fourier transform can process out that extra noise to reveal the frequencies thus making the Fourier series very good at filtering noise.

The Fourier Transform can either be f(t) for time or f(x) for time.

ω = angular frequency and is related to frequency

The units for frequency are usually in Hertz(Hz).

k = wavenumber, it has units of inverse length and is related to wavelength

References:

Washington, A. J., & Evans, R. (2017). Basic Technical Mathematics with Calculus (11th ed.). Pearson Education (US). https://ecpi.vitalsource.com/books/9780134507095

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