Aufgaben:Exercise 3.6Z: Complex Exponential Function: Difference between revisions

From LNTwww
m Text replacement - "Signal_Representation/Gesetzmäßigkeiten_der_Fouriertransformation" to "Signal_Representation/Fourier_Transform_Laws"
Fix interlanguage link: resolve redirect chain
 
(15 intermediate revisions by 5 users not shown)
Line 1: Line 1:


{{quiz-Header|Buchseite=Signaldarstellung/Gesetzmäßigkeiten der Fouriertransformation
{{quiz-Header|Buchseite=Signal_Representation/Fourier_Transform_Laws
}}
}}


[[File:P_ID518__Sig_Z_3_6_neu.png|right|frame|Darstellung im Spektralbereich: <br>komplexe Exponentialfunktion und geeignete Aufspaltung]]
[[File:P_ID518__Sig_Z_3_6_neu.png|right|frame|Splitting the complex exponential function  in the spectral domain]]
In Zusammenhang mit den&nbsp; [[Signal_Representation/Unterschiede_und_Gemeinsamkeiten_von_TP-_und_BP-Signalen|Bandpass-Systemen]]&nbsp; wird oft mit einseitigen Spektren gearbeitet. In der Abbildung sehen Sie eine solche einseitige Spektralfunktion&nbsp; ${X(f)}$, die ein komplexes Zeitsignal&nbsp; ${x(t)}$&nbsp; zur Folge hat.
In connection with&nbsp; [[Signal_Representation/Differences_and_Similarities_of_LP_and_BP_Signals|"band-pass systems"]]&nbsp;, one-sided spectra are often used.&nbsp; In the graphic you see such a one-sided spectral function&nbsp; ${X(f)}$, which results in a complex time signal&nbsp; ${x(t)}$.


In der unteren Skizze ist&nbsp; ${X(f)}$&nbsp; in einen – bezüglich der Frequenz – geraden Anteil&nbsp; ${G(f)}$&nbsp; sowie einen ungeraden Anteil&nbsp; ${U(f)}$&nbsp; aufgespaltet.
In the sketch below,&nbsp; ${X(f)}$&nbsp; is split into an even component&nbsp; ${G(f)}$&nbsp; &ndash; with respect to the frequency &ndash; and an odd component&nbsp; ${U(f)}$.




Line 16: Line 16:




''Hinweise:''  
''Hints:''  
*Die Aufgabe gehört zum  Kapitel&nbsp; [[Signal_Representation/Fourier_Transform_Laws|Gesetzmäßigkeiten der Fouriertransformation]].
*This exercise belongs to the chapter&nbsp; [[Signal_Representation/Fourier_Transform_Theorems|Fourier Transform Theorems]].
*Alle dort dargelegten Gesetzmäßigkeiten werden im Lernvideo&nbsp; [[Gesetzmäßigkeiten_der_Fouriertransformation_(Lernvideo)|Gesetzmäßigkeiten der Fouriertransformation]]  an Beispielen verdeutlicht.
*For the first two sub-tasks use the signal parameters&nbsp; $A = 1\, \text{V}$&nbsp; and&nbsp; $f_0 = 125 \,\text{kHz}$.
*Lösen Sie diese Aufgabe mit Hilfe des&nbsp; [[Signal_Representation/Fourier_Transform_Laws#Zuordnungssatz|Zuordnungssatzes]]&nbsp; und des&nbsp; [[Signal_Representation/Fourier_Transform_Laws#Verschiebungssatz|Verschiebungssatzes]].
*The&nbsp; [[Signal_Representation/The_Fourier_Transform_Theorems#Shifting_Theorem|Shifting Theorem]]&nbsp; and the&nbsp; [[Signal_Representation/The_Fourier_Transform_Theorems#Assignment_Theorem|Assignment Theorem]]&nbsp; – are illustrated with examples in the (German language) learning video<br> &nbsp; &nbsp; &nbsp;[[Gesetzmäßigkeiten_der_Fouriertransformation_(Lernvideo)|Gesetzmäßigkeiten der Fouriertransformation]] &nbsp; &rArr; &nbsp; "Regularities to the Fourier transform".
*Verwenden Sie für die beiden ersten Teilaufgaben die Signalparameter&nbsp; $A = 1\, \text{V}$&nbsp; und&nbsp; $f_0 = 125 \,\text{kHz}.$




===Fragebogen===
===Questions===


<quiz display=simple>
<quiz display=simple>
{Wie lautet die zu&nbsp; $G(f)$&nbsp; passende Zeitfunktion&nbsp; $g(t)$? Wie groß ist&nbsp; $g(t = 1 \, &micro; \text {s})$?
{What is the time function&nbsp; $g(t)$&nbsp; that fits&nbsp; $G(f)$?&nbsp; How large is &nbsp; $g(t = 1 \, &micro; \text {s})$?
|type="{}"}
|type="{}"}
$\text{Re}\big[g(t = 1 \, &micro; \text {s})\big] \ =  \ $ { 0.707 3% } &nbsp;$\text{V}$
$\text{Re}\big[g(t = 1 \, &micro; \text {s})\big] \ =  \ $ { 0.707 3% } &nbsp;$\text{V}$
Line 33: Line 31:




{Wie lautet die zu&nbsp; $U(f)$&nbsp; passende Zeitfunktion&nbsp; $u(t)$? Wie groß ist&nbsp; $u(t = 1 \, &micro; \text {s})$?
{What is the time function&nbsp; $u(t)$&nbsp; that fits&nbsp; $U(f)$?&nbsp; What is the value of&nbsp; $u(t = 1 \, &micro; \text {s})$?
|type="{}"}
|type="{}"}
$\text{Re}\big[u(t = 1 \, &micro; \text {s})\big]\ = \ $ { 0. } &nbsp;$\text{V}$
$\text{Re}\big[u(t = 1 \, &micro; \text {s})\big]\ = \ $ { 0. } &nbsp;$\text{V}$
Line 39: Line 37:




{Welche der Aussagen sind bezüglich des Signals&nbsp; $x(t)$&nbsp; zutreffend?
{Which of the statements are true regarding the signal&nbsp; $x(t)$&nbsp;?
|type="[]"}
|type="[]"}
+ Das Signal lautet&nbsp; $x(t) = A \cdot {\rm e}^{{\rm j}\hspace{0.05cm}\cdot \hspace{0.05cm}2\pi\hspace{0.05cm}\cdot \hspace{0.05cm} f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t}$.
+ The signal is&nbsp; $x(t) = A \cdot {\rm e}^{{\rm j}\hspace{0.05cm}\cdot \hspace{0.05cm}2\pi\hspace{0.05cm}\cdot \hspace{0.05cm} f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t}$.
- In der komplexen Ebene dreht&nbsp; $x(t)$&nbsp; im Uhrzeigersinn.
- In the complex plane&nbsp; $x(t)$&nbsp; rotates clockwise.
+ In der komplexen Ebene dreht&nbsp; $x(t)$&nbsp; entgegen dem Uhrzeigersinn.
+ In the complex plane&nbsp; $x(t)$&nbsp; rotates counterclockwise.
- Für eine Umdrehung wird eine Mikrosekunde benötigt.
- One microsecond is needed for one rotation.




Line 50: Line 48:
</quiz>
</quiz>


===Musterlösung===
===Solution===
{{ML-Kopf}}
{{ML-Kopf}}
'''(1)'''&nbsp;  $G(f)$&nbsp; ist die Spektralfunktion eines Cosinussignals mit der Periodendauer&nbsp; $T_0 = 1/f_0 = 8 \, &micro;\text {s}$:
'''(1)'''&nbsp;  $G(f)$&nbsp; is the spectral function of a cosine signal with period&nbsp; $T_0 = 1/f_0 = 8 \, &micro;\text {s}$:
:$$g( t ) = A \cdot \cos ( {2{\rm{\pi }}f_0 t} ).$$
:$$g( t ) = A \cdot \cos ( {2{\rm{\pi }}f_0 t} ).$$
Bei&nbsp; $t = 1 \, &micro;\text {s}$&nbsp; ist der Signalwert gleich&nbsp; $A \cdot \cos(\pi /4)$:
At&nbsp; $t = 1 \, &micro;\text {s}$&nbsp; the signal value is equal to&nbsp; $A \cdot \cos(\pi /4)$:
*Der Realteil ist&nbsp; $\text{Re}[g(t = 1 \, &micro; \text {s})] = \;\underline{0.707\, \text{V}}$,  
*The real part is&nbsp; $\text{Re}[g(t = 1 \, &micro; \text {s})] = \;\underline{0.707\, \text{V}}$,  
*der Imaginärteil ist&nbsp; $\text{Im}[g(t = 1 \, &micro; \text {s})] = \;\underline{0.}$
*The imaginary part is&nbsp; $\text{Im}[g(t = 1 \, &micro; \text {s})] = \;\underline{0.}$






'''(2)'''&nbsp; Ausgehend von der Fourierkorrespondenz
'''(2)'''&nbsp; Starting from the Fourier correspondence
:$$A \cdot {\rm \delta} ( f )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ A$$
:$$A \cdot {\rm \delta} ( f )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ A$$
erhält man durch zweimalige Anwendung des Verschiebungssatzes (im Frequenzbereich):
is obtained by applying the shifting theorem twice (in the frequency domain):
:$$U( f ) = {A}/{2} \cdot \delta ( {f - f_0 } ) - {A}/{2} \cdot \delta ( {f + f_0 } )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ u( t ) = {A}/{2} \cdot \left( {{\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0\hspace{0.05cm}\cdot \hspace{0.05cm} t}  - {\rm{e}}^{{\rm{ - j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} } \right).$$
:$$U( f ) = {A}/{2} \cdot \delta ( {f - f_0 } ) - {A}/{2} \cdot \delta ( {f + f_0 } )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ u( t ) = {A}/{2} \cdot \left( {{\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0\hspace{0.05cm}\cdot \hspace{0.05cm} t}  - {\rm{e}}^{{\rm{ - j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} } \right).$$
*Nach dem&nbsp; [[Signal_Representation/Calculating_With_Complex_Numbers#Darstellung_nach_Betrag_und_Phase|Satz von Euler]]&nbsp; kann hierfür auch geschrieben werden:
*According to&nbsp; [[Signal_Representation/Calculating_with_Complex_Numbers#Representation_by_magnitude_and_phase|Euler's theorem]]&nbsp;, this can also be written.
:$$u( t ) = {\rm{j}} \cdot A \cdot \sin ( {2{\rm{\pi }}f_0 t} ).$$
:$$u( t ) = {\rm{j}} \cdot A \cdot \sin ( {2{\rm{\pi }}f_0 t} ).$$
:*Der <u>Realteil dieses Signals ist stets Null</u>.  
:*The <u>real part of this signal is always zero</u>.  
:*Bei&nbsp; $t = 1 \, &micro;\text {s}$&nbsp; gilt für den Imaginärteil:&nbsp; $\text{Im}[g(t = 1 \, &micro; \text {s})] = \;\underline{0.707\, \text{V}}$.
:*At&nbsp; $t = 1 \, &micro;\text {s}$&nbsp; the following applies to the imaginary part:&nbsp; $\text{Im}[g(t = 1 \, &micro; \text {s})] = \;\underline{0.707\, \text{V}}$.






'''(3)'''&nbsp;  Wegen&nbsp; $X(f) = G(f)  + U(f)$&nbsp; gilt auch:
'''(3)'''&nbsp;  Because&nbsp; $X(f) = G(f)  + U(f)$&nbsp; also holds:
:$$x(t) = g(t) + u(t) = A \cdot \cos ( {2{\rm{\pi }}f_0 t} ) + {\rm{j}} \cdot A \cdot \sin( {2{\rm{\pi }}f_0 t} ).$$
:$$x(t) = g(t) + u(t) = A \cdot \cos ( {2{\rm{\pi }}f_0 t} ) + {\rm{j}} \cdot A \cdot \sin( {2{\rm{\pi }}f_0 t} ).$$
Dieses Ergebnis kann mit dem&nbsp; [[Signal_Representation/Calculating_With_Complex_Numbers#Darstellung_nach_Betrag_und_Phase|Satz von Euler]]&nbsp; wie folgt zusammengefasst werden:
This result can be summarised by&nbsp; "Euler's theorem"&nbsp; as follows:
:$$x(t) = A \cdot {\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} .$$
:$$x(t) = A \cdot {\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} .$$
Richtig sind die vorgegebenen <u>Alternativen 1 und 3</u>:
The given <u>alternatives 1 and 3</u> are correct:
*Das Signal dreht in der komplexen Ebene in mathematisch positiver Richtung, also entgegen dem Uhrzeigersinn.  
*The signal rotates in the complex plane in a mathematically positive direction, i.e. counterclockwise.
*Für eine Umdrehung benötigt der „Zeiger” die Periodendauer&nbsp; $T_0 = 1/f_0 = 8 \, &micro;\text {s}$.  
*For one rotation, the "pointer" needs the period&nbsp; $T_0 = 1/f_0 = 8 \, &micro;\text {s}$.  
{{ML-Fuß}}
{{ML-Fuß}}




__NOEDITSECTION__
__NOEDITSECTION__
[[Category:Exercises for Signal Representation|^3. Aperiodische Signale - Impulse^]]
[[Category:Signal Representation: Exercises|^3.3 Fourier Transform Theorems^]]
[[de:Aufgaben:Aufgabe 3.6Z: Komplexe Exponentialfunktion]]

Latest revision as of 17:54, 16 March 2026

Splitting the complex exponential function in the spectral domain

In connection with  "band-pass systems" , one-sided spectra are often used.  In the graphic you see such a one-sided spectral function  ${X(f)}$, which results in a complex time signal  ${x(t)}$.

In the sketch below,  ${X(f)}$  is split into an even component  ${G(f)}$  – with respect to the frequency – and an odd component  ${U(f)}$.





Hints:


Questions

1 What is the time function  $g(t)$  that fits  $G(f)$?  How large is   $g(t = 1 \, µ \text {s})$?

$\text{Re}\big[g(t = 1 \, µ \text {s})\big] \ = \ $  $\text{V}$
$\text{Im}\big[g(t = 1 \, µ \text {s})\big]\ = \ $  $\text{V}$

2 What is the time function  $u(t)$  that fits  $U(f)$?  What is the value of  $u(t = 1 \, µ \text {s})$?

$\text{Re}\big[u(t = 1 \, µ \text {s})\big]\ = \ $  $\text{V}$
$\text{Im}\big[u(t = 1 \, µ \text {s})\big]\ = \ $  $\text{V}$

3 Which of the statements are true regarding the signal  $x(t)$ ?

The signal is  $x(t) = A \cdot {\rm e}^{{\rm j}\hspace{0.05cm}\cdot \hspace{0.05cm}2\pi\hspace{0.05cm}\cdot \hspace{0.05cm} f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t}$.
In the complex plane  $x(t)$  rotates clockwise.
In the complex plane  $x(t)$  rotates counterclockwise.
One microsecond is needed for one rotation.


Solution

(1)  $G(f)$  is the spectral function of a cosine signal with period  $T_0 = 1/f_0 = 8 \, µ\text {s}$:

$$g( t ) = A \cdot \cos ( {2{\rm{\pi }}f_0 t} ).$$

At  $t = 1 \, µ\text {s}$  the signal value is equal to  $A \cdot \cos(\pi /4)$:

  • The real part is  $\text{Re}[g(t = 1 \, µ \text {s})] = \;\underline{0.707\, \text{V}}$,
  • The imaginary part is  $\text{Im}[g(t = 1 \, µ \text {s})] = \;\underline{0.}$


(2)  Starting from the Fourier correspondence

$$A \cdot {\rm \delta} ( f )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ A$$

is obtained by applying the shifting theorem twice (in the frequency domain):

$$U( f ) = {A}/{2} \cdot \delta ( {f - f_0 } ) - {A}/{2} \cdot \delta ( {f + f_0 } )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ u( t ) = {A}/{2} \cdot \left( {{\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0\hspace{0.05cm}\cdot \hspace{0.05cm} t} - {\rm{e}}^{{\rm{ - j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} } \right).$$
$$u( t ) = {\rm{j}} \cdot A \cdot \sin ( {2{\rm{\pi }}f_0 t} ).$$
  • The real part of this signal is always zero.
  • At  $t = 1 \, µ\text {s}$  the following applies to the imaginary part:  $\text{Im}[g(t = 1 \, µ \text {s})] = \;\underline{0.707\, \text{V}}$.


(3)  Because  $X(f) = G(f) + U(f)$  also holds:

$$x(t) = g(t) + u(t) = A \cdot \cos ( {2{\rm{\pi }}f_0 t} ) + {\rm{j}} \cdot A \cdot \sin( {2{\rm{\pi }}f_0 t} ).$$

This result can be summarised by  "Euler's theorem"  as follows:

$$x(t) = A \cdot {\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} .$$

The given alternatives 1 and 3 are correct:

  • The signal rotates in the complex plane in a mathematically positive direction, i.e. counterclockwise.
  • For one rotation, the "pointer" needs the period  $T_0 = 1/f_0 = 8 \, µ\text {s}$.