FOURIER SERIES:
Fourier series facilitates representation of any periodic signal in terms of sinusoids.
∞
x(t)=A0+∑ Ak cos(kw0 t+θk)
k=1
Periodic signal x(t) is expressed as a sum of sinusoids of frequencies 0, w0, 2w0,… , Kw0,…
whose amplitudes are A0 ,A1 , A2,………… Ak,…..and whose phases are 0,θ1, θ2 ,………, θk,………
Plot of Ak Vs w gives amplitude spectrum and plot of θk Vs w gives phase spectrum.These two plots together are frequency spectra of x(t).
fig 1
fig 2
Example :for the time domain description of x(t) in fig 1 ,the frequency domain description of x(t) is given in fig 2.
REAL VALUED SIGNAL:
It is signal represented by real sinusoids.
∞
x(t)=A0+∑ Ak cos(kw0 t+θk)
k=1
Here A0, Ak and cosine components all are real.
COMPLEX EXPONENTIAL FOURIER SERIES:
A more general fourier series is complex exponential fourier series:
∞
x(t)= ∑ ak e jk w0 t
k= -∞
where, ak , e jk w0 t =complex numbers
HARMONICALLY RELATED COMPLEX EXPONENTIALS:
For above equation ,set of harmonically related complex exponential is associated with periodic signal x(t).
{ e j w0 t , e j2 w0 t ,…………}
For ak e jk w0 t
ak = |ak| <θk
= |ak| e j θk
ak e jk w0 t = |ak| e j(k w0 t +θk)
= |ak| cos(k w0+ θk) +j |ak| sin(k w0+ θk)
For
A0 +∑ Ak cos(kw0 t+θk) ↔ ∑ ak e jk w0 t
We know, (Euler identity)
cos(kw0 t) = e jk w0 t + e -jk w0 t
2
sin (kw0 t) = e jk w0 t + e -jk w0 t
2j
Ak cos(kw0 t)= (Ak/2) * (e jk w0 t + e -jk w0 t)
Ak cos(kw0 t +θk)= (Ak/2) * (e j(k w0 t +θk)+ e -j(k w0 t +θk))
=((Ak/2)* e j θk) e jk w0 t +((Ak/2)* e -j θk) e -jk w0 t
so,
Ak cos(kw0 t +θk) ↔ ak e jk w0 t + a-k e -jk w0 t
Where, ak and a-k are complex conjugates
|ak| = Ak/2 =|a-k|
and < ak = θk = -< a-k
Fig 3
Fig 4
For fig 3 (real valued spectrum) the complex exponential frequency spectrum is in fig 4
[ Note: frequency of exponentials e ±j w0 t is |w0| .Existence of the spectrum at negative frequency is indication of the fact that an exponential component e -jk w0 t exixts in the series.]
Similarly,
Ak sin(kw0 t +θk)= ((Ak/2j)* e j θk) e jk w0 t - ((Ak/2j)* e -j θk) e -jk w0 t
Where,
|ak| = Ak/2 =|a-k|
and < ak = (θk – 90)= -< a-k
Now a general definition of fourier series of a periodic signal x(t) is
∞
x(t)= ∑ ak e jk w0 t
k= -∞
where, w0 =2 Π /T
T =fundamental time period