Introduction
of Fourier Series
A
Fourier series is called as a linear combination of harmonically related
complex exponentials. The Fourier series is used for the spectrum analysis of
periodic signals i.e. to get frequency spectrum of a time-domain signal, when
the signal is a periodic function of time. The Fourier series is important because
it allows one to model periodic signals as a sum of distinct harmonic
components. In other words, representing signals in this way allows one to see
the harmonics in a signal distinctly, which makes it easy to see what
frequencies the signal contains in order to filter/manipulate particular
frequency components.
Fourier
series is very useful in Electronics and Electrical Engineering or Theory of
wave.
Harmonically
related signals, fundamental and harmonic components of signal x(t).
Harmonically
related signals are the sets of periodic complex exponential/sinusoidal signals
with fundamental frequencies that are multiples of a single positive frequency.
The basic signals for continuous time, harmonically related exponentials are,
Here,
each value of k, Sk(t) is periodic with fundamental period 1/kFo
= To/k or fundamental frequency kFo. Since a signal that
is periodic with period Tp/k is also periodic with period k (Tp/k)
= Tp for any positive integer k, we see that all of the Sk(t)
have a common period of Tp.
Let
us consider the signal x(t) = Ceat
…………………………………………………....................….(2)
where,
C is a real number
a is a pure imaginary number.
Assuming
C = 1 and a = jω, Eqn (2) becomes,
This
signal is known as complex exponential signal having periodic property.
Now,
where,
To
is the fundamental time period.
For
signal to be periodic,
Comparing Eqn
(3) and (4), we get
ω = kωo ……………………………………………………....................…. (5)
where, ωo is known as fundamental
frequency. And equation (6) represents harmonically related complex
exponentials. Thus the linear combination of harmonically related complex
exponentials of the form,
is also periodic with period T.
