| Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. |

| See also: Fourier transformation, FFT | ||
Fourier SeriesAny periodic signal y(t) may be constructed from a infinite sum of sine and cosine terms:
with Ai and Bi being the Fourier coefficients,
and T the duration of the period of the function y(t). The coefficient
A0 represents the aperiodic fraction of the signal (i.e. A0
is equal to the average amplitude of the signal). The terms for each frequency
may be rearranged to form a single cosine term with the magnitude The set of cosine and sine functions is complete and orthogonal, which guarantees that any periodic function f(t) can be represented, and that the Fourier coefficients are independent of each other. The following interactive example shows you how to combine sines and cosines to form a signal y(t). By setting the coefficients Ai and Bi one can immediately see their effect on the resulting function.
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