Digital Signal Processing Reference
In-Depth Information
for any pair of functions taken from the set { p n ( t ) } . Section 4.3 proves that
the complex exponentials { exp( j n ω 0 t ) } , for
−∞
< n <
, and sinusoidal
functions { sin( n ω 0 t ), 1, cos( m ω 0 t ) } , for 0 < n , m <
, form two complete
orthogonal sets over any interval [ t 1 , t 1
+
2 π/ω 0 ] of duration T 0
=
2 π/ω 0 .We
refer to ω 0 as the angular frequency and to its inverse T 0
2 π/ω 0 as the funda-
mental period. Expressing a periodic signal x ( t ) as a linear combination of the
sinusoidal set of functions { sin( n ω 0 t ), 1, cos( m ω 0 t ) } leads to the trigonometric
representation of the CTFS. The trigonometric CTFS is defined as follows:
=
x ( t )
=
a 0
+
( a n cos( n ω 0 t )
+
b n sin( n ω 0 t )) ,
n = 1
where ω 0
= 2 π/ T 0 is the fundamental frequency of x ( t ) and coefficients a 0 , a n ,
and b n are referred to as the trigonometric CTFS coefficients. The coefficients
are calculated using the following formulas:
1
T 0
a 0
=
x ( t )d t ,
T 0
2
T 0
a n
=
x ( t ) cos( n ω 0 t )d t ,
T 0
and
= 2
T 0
b n
x ( t ) sin( n ω 0 t )d t .
T 0
The trigonometric CTFS is presented in Section 4.4, while its counterpart, the
exponential CTFS, is covered in Section 4.5. The exponential CTFS is obtained
by expressing the periodic signal x ( t ) as a linear combination of complex expo-
nentials { exp( j n ω 0 t ) } and is given by
m =−∞ D n e j n ω 0 t ,
where the exponential CTFS coefficients D n are calculated using the following
expression:
x ( t ) =
= 1
T 0
j n ω 0 t d t .
D n
x ( t )e
T 0
The exponential CTFS has several interesting properties that are useful in the
analysis of CT signals.
(1) The linearity property states that the exponential CTFS coefficients of a
linear combination of periodic signals are given by the same linear combi-
nation of the exponential CTFS coefficients of each of the periodic signals.
(2) A time shift of t 0 in the periodic signal does not affect the magnitude of the
exponential CTFS coefficients. However, the phase changes by an additive
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