<< Chapter < Page Chapter >> Page >

Sinusoidal signals

Sinusoidal signals are perhaps the most important type of signal that we will encounter in signal processing. There are two basic types of signals, the cosine :

x ( t ) = A cos ( Ω t )

and the sine :

x ( t ) = A sin ( Ω t )

where A is a real constant. Plots of the sine and cosine signals are shown in [link] . Sinusoidal signals are periodic signals. The period of the cosine and sine signals shown above is given by T = 2 π / Ω . The frequency of the signals is Ω = 2 π / T which has units of rad/sec . Equivalently, the frequency can be expressed as 1 / T , which has units of s e c - 1 , cycles/sec , or Hz . The quantity Ω t has units of radians and is often called the phase of the sinusoid. Recalling the effect of a time shift on the appearance of a signal, we can observe from [link] that the sine signal is obtained by shifting the cosine signal by T / 4 seconds, i.e.

Cosine and sine signals. Each signal is periodic with period T = 2 π / Ω .
sin ( Ω t ) = cos ( Ω ( t - T / 4 ) )

and since T = 2 π / Ω , we have

sin ( Ω t ) = cos ( Ω t - π / 2 ) )

Similarly, we have

cos ( Ω t ) = sin ( Ω t + π / 2 ) )

Using Euler's Identity, we can also write:

A cos ( Ω t ) = A 2 e j Ω t + e - j Ω t

and

A sin ( Ω t ) = A 2 j e j Ω t - e - j Ω t

The quantity e j Ω t is called a complex sinusoid and can be expressed as

e ± j Ω t = cos Ω t ± j sin Ω t

There are a number of trigonometric identities which are sometimes useful. These are shown in [link] . [link] shows some basic calculus operations on sine and cosine signals.

Useful trigonometric identities.
sin ( θ ) = cos ( θ - π / 2 )
cos ( θ ) = sin ( θ + π / 2 )
sin ( θ 1 ) sin ( θ 2 ) = 1 2 cos ( θ 1 - θ 2 ) - cos ( θ 1 + θ 2 )
sin ( θ 1 ) cos ( θ 2 ) = 1 2 sin ( θ 1 - θ 2 ) - sin ( θ 1 + θ 2 )
cos ( θ 1 ) cos ( θ 2 ) = 1 2 cos ( θ 1 - θ 2 ) + cos ( θ 1 + θ 2 )
a cos ( θ ) + b sin ( θ ) = a 2 + b 2 c o s θ - tan - 1 b a
cos ( θ 1 ± θ 2 ) = cos ( θ 1 ) cos ( θ 2 ) sin ( θ 1 ) sin ( θ 2 )
sin ( θ 1 ± θ 2 ) = sin ( θ 1 ) cos ( θ 2 ) ± sin ( θ 1 ) cos ( θ 2 )
Derivatives and integrals of sinusoidal signals.
d d t cos ( Ω t ) = - Ω sin ( Ω t )
d d t sin ( Ω t ) = Ω cos ( Ω t )
cos ( Ω t ) d t = 1 Ω sin ( Ω t )
sin ( Ω t ) d t = - 1 Ω cos ( Ω t )
0 T sin ( k Ω o t ) cos ( n Ω o t ) d t = 0
0 T sin ( k Ω o t ) sin ( n Ω o t ) d t = 0 , k n
0 T cos ( k Ω o t ) cos ( n Ω o t ) d t = 0 , k n
0 T sin 2 ( n Ω o t ) d t = T / 2
0 T cos 2 ( n Ω o t ) d t = T / 2

Now suppose that we have a sum of two sinusoids, say

x ( t ) = cos ( Ω 1 t ) + cos ( Ω 2 t )

It is of interest to know what the period T of the sum of 2 sinusoids is. We must have

x ( t - T ) = cos ( Ω 1 ( t - T ) ) + cos ( Ω 2 ( t - T ) ) = cos ( Ω 1 t - Ω 1 T ) + cos ( Ω 2 t - Ω 2 T )

It follows that Ω 1 T = 2 π k and Ω 2 T = 2 π l , where k and l are integers. Solving these two equations for T gives T = 2 π k / Ω 1 = 2 π l / Ω 2 . We wish to select the shortest possible period, since any integer multiple of the period is also a period. To do this we note that since 2 π k / Ω 1 = 2 π l / Ω 2 , we can write

Ω 1 Ω 2 = k l

so we seek the smallest integers k and l that satisfy [link] . This can be done by finding the greatest common divisor between k and l . For example if Ω 1 = 10 π and Ω 2 = 15 π , we have k = 2 and l = 3 , after dividing out 5, the greatest common divisor between 10 and 15. So the period is T = 2 π k / Ω 1 = 0 . 4 sec. On the other hand, if Ω 1 = 10 π and Ω 2 = 10 . 1 π , we find that k = 100 and l = 101 and the period increases to T = 2 π k / Ω 1 = 20 sec. Notice also that if the ratio of Ω 1 and Ω 2 is not a rational number, then x ( t ) is not periodic!

If there are more than two sinusoids, it is probably easiest to find the period of one pair of sinusoids at a time, using the two lowest frequencies (which will have a longer period). Once the frequency of the first two sinusoids has been found, replace them with a single sinusoid at the composite frequency corresponding to the first two sinusoids and compare it with the third sinusoid, and so on.

Get Jobilize Job Search Mobile App in your pocket Now!

Get it on Google Play Download on the App Store Now




Source:  OpenStax, Signals, systems, and society. OpenStax CNX. Oct 07, 2012 Download for free at http://cnx.org/content/col10965/1.15
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'Signals, systems, and society' conversation and receive update notifications?

Ask