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== # OVERVIEW OF THE SECOND MAIN CHAPTER # ==
 
== # OVERVIEW OF THE SECOND MAIN CHAPTER # ==
 
<br>
 
<br>
In this chapter&nbsp; ''periodic signals''&nbsp; are considered and described mathematically in the time and frequency domain.  
+
In this chapter,&nbsp; &raquo;'''periodic signals'''&laquo;&nbsp; are considered and described mathematically &raquo;'''in the time and frequency domain'''&laquo;.  
  
 
This chapter contains in detail:  
 
This chapter contains in detail:  
* Some basic terms like&nbsp; <i>period duration, fundamental frequency</i>&nbsp; and&nbsp; <i>circular frequency</i>,
+
# Some basic terms like&nbsp; &raquo;period duration&laquo;,&nbsp; &raquo;basic frequency&laquo;&nbsp; and&nbsp; &raquo;circular frequency&laquo;,
* the properties of a&nbsp; <i>equal signal</i>&nbsp; as a boundary case of a periodic signal,
+
# the properties of a&nbsp; &raquo;DC signal&laquo;&nbsp; as a limiting case of a periodic signal,
* the definition and interpretation of the&nbsp; <i>Dirac function</i>,
+
# the definition and interpretation of the&nbsp; &raquo;Dirac delta function&laquo;,
* the spectral representation of a&nbsp; <i>equal signal</i>&nbsp; or a&nbsp; <i>equal signal component</i>,
+
# the&nbsp; &raquo;spectral representation&laquo;&nbsp; of a DC signal or a DC signal component,
* the time&ndash; and frequency representation of &nbsp; <i>harmonic oscillations</i>, and finally
+
# the time and frequency representation of&nbsp; &raquo;harmonic oscillations&laquo;,&nbsp; and finally
* the application of&nbsp; <i>Fourier series</i>&nbsp; for spectral analysis of periodic signals.
+
# the application of&nbsp; &raquo;Fourier series&laquo;&nbsp; for spectral analysis of periodic signals.
  
  
Further information on the topic as well as tasks, simulations and programming exercises can be found in
 
  
*Chapter 6:  ''Linear and Time Invariant Systems''&nbsp; (Program lzi)
+
==Features and applications==
 +
<br>
 +
Periodic signals are of great importance for Communications Engineering:
 +
*They belong to the class of&nbsp; [[Signal_Representation/Signal_classification#Deterministic_and_stochastic_signals|&raquo;deterministic signals&laquo;]],&nbsp; whose time function can be specified in analytical form.
  
 +
*Their signal path is thus known for all times&nbsp; $t$&nbsp; and can be clearly predicted for the future.
  
of the lab &bdquo;Simulation Methods in Communication Engineering&rdquo;. This former LNT course at the TU Munich is based on
 
*the educational software package&nbsp; [http://en.lntwww.de/downloads/Sonstiges/Programme/LNTsim.zip LNTsim]&nbsp; &nbsp; &rArr; &nbsp; Link points to the ZIP version of the program, and
 
*this &nbsp; [http://en.lntwww.de/downloads/Sonstiges/Texte/Praktikum_LNTsim_Teil_A.pdf lab instruction]&nbsp;  &nbsp; &rArr; &nbsp; Link refers to the PDF version of ;&nbsp; chapter 6:&nbsp; page 99-118.
 
 
 
==Features and Applications==
 
<br>
 
Periodic signals are of great importance for communications engineering:
 
*They belong to the class of&nbsp;[[Signal_Representation/Signal_classification#Deterministische_und_stochastische_Signale|deterministic signals]], whose time function can be specified in analytical form.
 
*Their signal path is thus known for all times&nbsp; $t$&nbsp; and can be clearly predicted for the future.
 
 
*They are therefore never information-carrying signals.
 
*They are therefore never information-carrying signals.
  
  
Nevertheless, periodic signals are often also required in communications engineering, for example
+
Nevertheless,&nbsp; periodic signals are often also required in Communications Engineering,&nbsp; for example
 
*for modulation and demodulation in carrier frequency systems,
 
*for modulation and demodulation in carrier frequency systems,
 +
 
*for synchronization and clock regeneration in digital systems,
 
*for synchronization and clock regeneration in digital systems,
*as test&ndash; and test signals during system implementation.
 
  
 +
*as test and verification signals during system implementation.
  
[[File:P_ID161__Sig_T_2_1_S1.png|right|frame|Oscilloscope image of cosine and triangle pulse]]
+
 
{{GraueBox|TEXT= 
+
{{GraueBox|TEXT=
 +
[[File:P_ID161__Sig_T_2_1_S1.png|right|frame|Oscilloscope image of cosine and triangular signals]]  
 
$\text{Example 1:}$&nbsp;
 
$\text{Example 1:}$&nbsp;
 
The oscilloscope image shows two typical representatives of periodic signals:  
 
The oscilloscope image shows two typical representatives of periodic signals:  
*above a cosine pulse,
+
*above a cosine signal,
*below a triangle pulse.
+
 
 +
*below a triangular signal.
  
  
As can be seen from the displayed settings, the period duration of both signals is one millisecond and the amplitude one volt.}}
+
As can be seen from the displayed settings,&nbsp; the period duration of both signals is one millisecond and the amplitude one volt.}}
  
  
==Definition and Parameters==
+
==Definition and parameters==
 
<br>
 
<br>
Before we turn to the signal parameters of a periodic signal, the term &bdquo;periodicity&rdquo; shall be clearly defined:
+
Before we turn to the signal parameters of a periodic signal,&nbsp; the term&nbsp; &raquo;periodicity&laquo;&nbsp; shall be clearly defined:
  
 
{{BlaueBox|TEXT=   
 
{{BlaueBox|TEXT=   
 
$\text{Definition:}$&nbsp;
 
$\text{Definition:}$&nbsp;
A&nbsp; '''periodic signal'''&nbsp; $x(t)$&nbsp; ; is present if for all arbitrary values of&nbsp; $t$&nbsp; and all integer values of&nbsp; $i$&nbsp; with an appropriate&nbsp; $T_{0}$&nbsp; applies:  
+
A&nbsp; &raquo;'''periodic signal'''&laquo;&nbsp; $x(t)$&nbsp; is present if for all arbitrary values of&nbsp; $t$&nbsp; and all integer values of&nbsp; $i$&nbsp; with an appropriate&nbsp; $T_{0}$&nbsp; applies:  
 +
:$$x(t+i\cdot T_{0}) = x(t).$$}}
  
  
:$$x(t+i\cdot T_{0}) = x(t).$$}}
+
This results in the following parameters:
 +
*The&nbsp; &raquo;'''period duration'''&laquo;&nbsp; $T_{0}$&nbsp; indicates the smallest possible value,&nbsp; which satisfies the above equation.
 +
 
 +
*The&nbsp; &raquo;'''basic frequency'''&laquo;&nbsp; $f_{0} = 1/T_{0}$&nbsp; describes the number of periods per time unit&nbsp; $($mostly per second$)$.
  
 +
*The unit&nbsp; "1/s"&nbsp; is also called&nbsp; "Hz",&nbsp; named after the German physicist &nbsp; [https://en.wikipedia.org/wiki/Heinrich_Hertz $\text{Heinrich Hertz}$].
  
This results in the following parameters:
+
*The&nbsp; &raquo;'''basic circular frequency'''&laquo;&nbsp; $\omega_{0}$&nbsp; represents the angular rotation per second,&nbsp; usually given in radians.
*The&nbsp; '''Period duration''' &nbsp; $T_{0}$&nbsp; indicates the smallest possible value, which satisfies the above equation.
+
*The&nbsp; ‘''Fundamental frequency'''&nbsp; $f_{0} = 1/T_{0}$&nbsp; describes the number of periods per time unit (mostly per second).
+
*In contrast to the basic frequency,&nbsp; the unit&nbsp; "Hz"&nbsp; is not common here, but&nbsp; "1/s".&nbsp; The following equation applies:
*The unit "1/s" is also called "Hz", named after the German physicist &nbsp; [https://en.wikipedia.org/wiki/Heinrich_Hertz Heinrich Hertz].
 
*The&nbsp; ‘''fundamental angular frequency'''&nbsp; $\omega_{0}$&nbsp; represents the angular rotation per second, usually given in radians.  
 
*In contrast to the basic frequency, the unit "Hz" is not common here, but "1/s". The following equation applies:
 
 
:$$\omega_{0}=2\pi f_{0} = {2\pi}/{T_{0}}.$$
 
:$$\omega_{0}=2\pi f_{0} = {2\pi}/{T_{0}}.$$
  
  
[[File:P_ID211__Sig_T_2_1_S2_neu.png|right|frame|For definition of period duration, fundamental frequency and angular frequency]]
+
{{GraueBox|TEXT=
{{GraueBox|TEXT=  
+
[[File:P_ID211__Sig_T_2_1_S2_neu.png|right|frame|Given signal and period duration]]   
 
$\text{Example 2:}$&nbsp;
 
$\text{Example 2:}$&nbsp;
 
Here, a periodic time signal is shown:
 
Here, a periodic time signal is shown:
 
*The period duration is&nbsp; $T_{0} = 2.5 \ \rm ms$.
 
*The period duration is&nbsp; $T_{0} = 2.5 \ \rm ms$.
*From this the fundamental frequency &nbsp; $f_0 =  400  \ \rm  Hz$ is calculated.  
+
 
*The fundamental  circular frequency results to nbsp;$\omega_{0}=2513 \ \rm  1/s.$}}
+
*From this the basic frequency &nbsp; $f_0 =  400  \ \rm  Hz$&nbsp; is calculated.
 +
 +
*The basic circular frequency results to &nbsp;$\omega_{0}=2513 \ \rm  1/s.$}}
 
   
 
   
  
  
 
+
==Resulting period duration==
==Resulting Period Duration==
 
 
<br>
 
<br>
If a signal&nbsp; $x(t)$&nbsp; consists of the sum of two periodic signals&nbsp; $x_{1}(t)$&nbsp; and&nbsp; $x_{2}(t)$&nbsp; with the period durations&nbsp; $T_{1}$&nbsp; or &nbsp; $T_{2}$, the resulting period duration of the sum signal is the smallest common multiple of&nbsp; $T_{1}$&nbsp; and&nbsp; $T_{2}$.
+
If a signal&nbsp; $x(t)$&nbsp; consists of the sum of two periodic signals&nbsp; $x_{1}(t)$&nbsp; and&nbsp; $x_{2}(t)$&nbsp; with period durations&nbsp; $T_{1}$&nbsp; or &nbsp; $T_{2}$,&nbsp; the resulting period duration of the sum signal is the smallest common multiple of&nbsp; $T_{1}$&nbsp; and&nbsp; $T_{2}$.
 
*This statement applies independently of the amplitude and phase relations.
 
*This statement applies independently of the amplitude and phase relations.
*On the other hand, if &nbsp; $T_{1}$&nbsp; and&nbsp; $T_{2}$&nbsp; don't  have a  rational common multiple&nbsp; $($Example: &nbsp; $T_{2} = \pi \cdot T_{1})$, then the sum signal&nbsp; $x(t)$&nbsp; in contrast to its two components&nbsp; $x_{1}(t)$&nbsp; and&nbsp; $x_{2}(t)$&nbsp; is not periodic.
+
 
 +
*On the other hand,&nbsp; if &nbsp; $T_{1}$&nbsp; and&nbsp; $T_{2}$&nbsp; don't  have a  rational common multiple&nbsp; $($Example: &nbsp; $T_{2} = \pi \cdot T_{1})$,&nbsp; then the sum signal&nbsp; $x(t)$&nbsp; is in contrast to its two components&nbsp; $x_{1}(t)$&nbsp; and&nbsp; $x_{2}(t)$&nbsp; not periodic.
  
  
 
{{GraueBox|TEXT=   
 
{{GraueBox|TEXT=   
 
$\text{Example 3:}$&nbsp;
 
$\text{Example 3:}$&nbsp;
Here, a cosine-shaped signal&nbsp; $x_{1}(t)$&nbsp; with the period duration&nbsp; $T_{1} = 2\; {\rm ms}$&nbsp; (blue signal course)&nbsp;is added with  a sinusoidal signal&nbsp; $x_{2}(t)$&nbsp; with the period duration&nbsp; $T_{2} = 5\; {\rm ms}$&nbsp; and twice the amplitude (green curve).
+
Here,&nbsp; a cosinusoidal signal&nbsp; $x_{1}(t)$&nbsp; with period duration&nbsp; $T_{1} = 2\; {\rm ms}$&nbsp; $($blue signal course$)$&nbsp;is added with  a sinusoidal signal&nbsp; $x_{2}(t)$&nbsp; with period duration&nbsp; $T_{2} = 5\; {\rm ms}$&nbsp; and twice the amplitude&nbsp; $($green curve).
 +
 
 +
[[File:P_ID247__Sig_T_2_1_S3_neu.png|frame|Resulting period duration of the sum of cosine and sine signal]]
 +
 
 +
*The&nbsp; $($red$)$&nbsp; sum signal&nbsp; $x(t) = x_{1}(t) + x_{2}(t)$&nbsp; then shows the resulting period duration&nbsp; $T_{0} = 10\; {\rm ms}$ &nbsp; &rArr; &nbsp; basic frequency&nbsp; $f_{0} = 100\; {\rm Hz}$.
 +
 
 +
*The frequency&nbsp; $f_{0}$&nbsp; itself is not contained in&nbsp; $x(t)$&nbsp; only integer multiples of it,&nbsp; namely&nbsp;
 +
::$f_{1} = 500\; {\rm Hz}$&nbsp; and&nbsp; $f_{2} = 200\; {\rm Hz}$.
 +
 
  
[[File:P_ID247__Sig_T_2_1_S3_neu.png|frame|Resulting period duration of the sum of cosine&ndash; and sine signal]]
 
  
*The (red) sum signal&nbsp; $x(t) = x_{1}(t) + x_{2}(t)$&nbsp; then shows the resulting period duration&nbsp; $T_{0} = 10\; {\rm ms}$&nbsp; shows &nbsp; &rArr; &nbsp; fundamental frequency&nbsp; $f_{0} = 100\; {\rm Hz}$.
 
*The frequency&nbsp; $f_{0}$&nbsp; itself is not contained in&nbsp; $x(t)$&nbsp; only integer multiples of it, namely&nbsp; $f_{1} = 500\; {\rm Hz}$&nbsp; and&nbsp; $f_{2} = 200\; {\rm Hz}$. }}
 
  
  
With the interactive applet&nbsp; [[Applets:Periodendauer_periodischer_Signale|Periodendauer periodischer Signale]]&nbsp; the resulting period of two harmonic oscillations can be determined.
+
&rArr; &nbsp; With the interactive applet&nbsp; [[Applets:Period_Duration_of_Periodic_Signals|&raquo;Period Duration of Periodic Signals&laquo;]]&nbsp; the resulting period of two harmonic oscillations can be determined.}}
  
  
==Exercises for the Chapter==
+
==Exercises for the chapter==
 
<br>
 
<br>
[[Exercise_2.1:_Rectifying|Exercise 2.1: Rectifying]]
+
[[Aufgaben:Exercise_2.1:_Rectifying|Exercise 2.1: Rectification]]
  
[[Aufgaben:Exercise_2.1Z:_Summing_Signal|Exercise 2.1Z: Summing Signal]]
+
[[Aufgaben:Exercise_2.1Z:_Sum_Signal|Exercise 2.1Z: Sum Signal]]
  
  

Latest revision as of 15:13, 8 June 2023

# OVERVIEW OF THE SECOND MAIN CHAPTER #


In this chapter,  »periodic signals«  are considered and described mathematically »in the time and frequency domain«.

This chapter contains in detail:

  1. Some basic terms like  »period duration«,  »basic frequency«  and  »circular frequency«,
  2. the properties of a  »DC signal«  as a limiting case of a periodic signal,
  3. the definition and interpretation of the  »Dirac delta function«,
  4. the  »spectral representation«  of a DC signal or a DC signal component,
  5. the time and frequency representation of  »harmonic oscillations«,  and finally
  6. the application of  »Fourier series«  for spectral analysis of periodic signals.


Features and applications


Periodic signals are of great importance for Communications Engineering:

  • Their signal path is thus known for all times  $t$  and can be clearly predicted for the future.
  • They are therefore never information-carrying signals.


Nevertheless,  periodic signals are often also required in Communications Engineering,  for example

  • for modulation and demodulation in carrier frequency systems,
  • for synchronization and clock regeneration in digital systems,
  • as test and verification signals during system implementation.


Oscilloscope image of cosine and triangular signals

$\text{Example 1:}$  The oscilloscope image shows two typical representatives of periodic signals:

  • above a cosine signal,
  • below a triangular signal.


As can be seen from the displayed settings,  the period duration of both signals is one millisecond and the amplitude one volt.


Definition and parameters


Before we turn to the signal parameters of a periodic signal,  the term  »periodicity«  shall be clearly defined:

$\text{Definition:}$  A  »periodic signal«  $x(t)$  is present if for all arbitrary values of  $t$  and all integer values of  $i$  with an appropriate  $T_{0}$  applies:

$$x(t+i\cdot T_{0}) = x(t).$$


This results in the following parameters:

  • The  »period duration«  $T_{0}$  indicates the smallest possible value,  which satisfies the above equation.
  • The  »basic frequency«  $f_{0} = 1/T_{0}$  describes the number of periods per time unit  $($mostly per second$)$.
  • The  »basic circular frequency«  $\omega_{0}$  represents the angular rotation per second,  usually given in radians.
  • In contrast to the basic frequency,  the unit  "Hz"  is not common here, but  "1/s".  The following equation applies:
$$\omega_{0}=2\pi f_{0} = {2\pi}/{T_{0}}.$$


Given signal and period duration

$\text{Example 2:}$  Here, a periodic time signal is shown:

  • The period duration is  $T_{0} = 2.5 \ \rm ms$.
  • From this the basic frequency   $f_0 = 400 \ \rm Hz$  is calculated.
  • The basic circular frequency results to  $\omega_{0}=2513 \ \rm 1/s.$


Resulting period duration


If a signal  $x(t)$  consists of the sum of two periodic signals  $x_{1}(t)$  and  $x_{2}(t)$  with period durations  $T_{1}$  or   $T_{2}$,  the resulting period duration of the sum signal is the smallest common multiple of  $T_{1}$  and  $T_{2}$.

  • This statement applies independently of the amplitude and phase relations.
  • On the other hand,  if   $T_{1}$  and  $T_{2}$  don't have a rational common multiple  $($Example:   $T_{2} = \pi \cdot T_{1})$,  then the sum signal  $x(t)$  is in contrast to its two components  $x_{1}(t)$  and  $x_{2}(t)$  not periodic.


$\text{Example 3:}$  Here,  a cosinusoidal signal  $x_{1}(t)$  with period duration  $T_{1} = 2\; {\rm ms}$  $($blue signal course$)$ is added with a sinusoidal signal  $x_{2}(t)$  with period duration  $T_{2} = 5\; {\rm ms}$  and twice the amplitude  $($green curve).

Resulting period duration of the sum of cosine and sine signal
  • The  $($red$)$  sum signal  $x(t) = x_{1}(t) + x_{2}(t)$  then shows the resulting period duration  $T_{0} = 10\; {\rm ms}$   ⇒   basic frequency  $f_{0} = 100\; {\rm Hz}$.
  • The frequency  $f_{0}$  itself is not contained in  $x(t)$  only integer multiples of it,  namely 
$f_{1} = 500\; {\rm Hz}$  and  $f_{2} = 200\; {\rm Hz}$.



⇒   With the interactive applet  »Period Duration of Periodic Signals«  the resulting period of two harmonic oscillations can be determined.


Exercises for the chapter


Exercise 2.1: Rectification

Exercise 2.1Z: Sum Signal