The Trigonometric Fourier Series is an example of Generalized Fourier Series with sines and cosines substituted in as the orthogonal basis set. Thus a function or signal f(t) with period T0 can be expressed as
[0 < t < T0]
where is called the fundamental frequency or base frequency (first resonant frequency
= 1/T) and all other nw0 frequencies
are called harmonics (every other
component of the series used to create f(t)). In relating this to actual
experimental data collected and graphed in Matlab, we note that n here is a positive
integer, so that all other frequencies are integral
multiples of the base frequency. Thus if one finds the base frequency to be,
say, 150 Hz, then one should also observe signal components at 300, 450, 600
and so on. Seeing this agreement between
theoretically predicted behavior and actual experimental data is an important
experience possible here.
To find a0, an, and bn we will use an equation very similar to the one for calculating c for signals. This equation calls for dividing by the energy in front of the integral. So we need to find the energy before we can set up the equation to find a0, an, and bn.
Following the development in the Generalized Fourier Series that you just read, we compute the En:
energy for a0 “DC Term”
energy for all cosine and sine terms (involves using a double angle formula for sin2 or cos2 ):
Now that we have the energies we can directly write the coefficient equations.
constant term (average value, DC)
cosine
coefficients
sine
coefficients
Next, go back to the Fourier Series Page to continue with exponential Fourier Series.