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

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[[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 connection with&nbsp; [[Signal_Representation/Differences_and_Similarities_of_LP_and_BP_Signals|bandpass systemes]]&nbsp;, one-sided spectra are often used. In the illustration you can see such a one-sided spectral function&nbsp; ${X(f)}$, which results in a complex time signal&nbsp; ${x(t)}$&nbsp;.
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 the sketch below,&nbsp; ${X(f)}$&nbsp; is split into an even component&nbsp; ${G(f)}$&nbsp; - with respect to the frequency - and an odd component&nbsp; ${U(f)}$&nbsp;.
 
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; ${U(f)}$.




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''Hints:''  
''Hints:''  
*This exercise belongs to the chapter&nbsp; [[Signal_Representation/Fourier_Transform_Laws|Fourier Transform Laws]].
*This exercise belongs to the chapter&nbsp; [[Signal_Representation/Fourier_Transform_Theorems|Fourier Transform Theorems]].
*All of the laws presented there are illustrated with examples in the learning video&nbsp; [[Gesetzmäßigkeiten_der_Fouriertransformation_(Lernvideo)|Gesetzmäßigkeiten der Fouriertransformation]].
*For the first two sub-tasks use the signal parameters&nbsp; $A = 1\, \text{V}$&nbsp; and&nbsp; $f_0 = 125 \,\text{kHz}$.
*Solve this task with the help of the&nbsp; [[Signal_Representation/Fourier_Transform_Laws#Mapping_Theorem|Mapping Theorem]]&nbsp; and the&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".
*Use the signal parameters&nbsp; $A = 1\, \text{V}$&nbsp; and&nbsp; $f_0 = 125 \,\text{kHz}$ for the first two sub-tasks.




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<quiz display=simple>
<quiz display=simple>
{What is the time function&nbsp; $g(t)$&nbsp; that fits&nbsp; $G(f)$? How large is &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;$\text{V}$
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{What is the time function&nbsp; $u(t)$&nbsp; that fits&nbsp; $U(f)$? What is the value of&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;$\text{V}$
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{Which of the statements are true regarding the signal&nbsp; $x(t)$&nbsp;?
{Which of the statements are true regarding the signal&nbsp; $x(t)$&nbsp;?
|type="[]"}
+ The signal is&nbsp; $x(t) = A \cdot {\rm e}^{{\rm j}\hspace{0.05cm}\cdot \hspace{0.05cm}2\pi\hspace{0.05cm}\cdot \hspace{0.05cm} f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t}$.
+ 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 the complex plane&nbsp; $x(t)$&nbsp; rotates clockwise.
- In the complex plane&nbsp; $x(t)$&nbsp; rotates clockwise.
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'''(2)'''&nbsp; Starting from the Fourier correspondence
'''(2)'''&nbsp; Starting from the Fourier correspondence
:$$A \cdot {\rm \delta} ( f )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ A$$
:$$A \cdot {\rm \delta} ( f )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ A$$
is obtained by applying the shift theorem twice (in the frequency domain):
is obtained by applying the shifting theorem twice (in the frequency domain):
:$$U( f ) = {A}/{2} \cdot \delta ( {f - f_0 } ) - {A}/{2} \cdot \delta ( {f + f_0 } )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ u( t ) = {A}/{2} \cdot \left( {{\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0\hspace{0.05cm}\cdot \hspace{0.05cm} t}  - {\rm{e}}^{{\rm{ - j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} } \right).$$
:$$U( f ) = {A}/{2} \cdot \delta ( {f - f_0 } ) - {A}/{2} \cdot \delta ( {f + f_0 } )\ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\, \ \ u( t ) = {A}/{2} \cdot \left( {{\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0\hspace{0.05cm}\cdot \hspace{0.05cm} t}  - {\rm{e}}^{{\rm{ - j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} } \right).$$
*According to&nbsp; [[Signal_Representation/Calculating_With_Complex_Numbers#Representation_by_Amplidute_and_Phase|Euler's theorem]]&nbsp;, this can also be written.
*According to&nbsp; [[Signal_Representation/Calculating_with_Complex_Numbers#Representation_by_magnitude_and_phase|Euler's theorem]]&nbsp;, this can also be written.
:$$u( t ) = {\rm{j}} \cdot A \cdot \sin ( {2{\rm{\pi }}f_0 t} ).$$
:$$u( t ) = {\rm{j}} \cdot A \cdot \sin ( {2{\rm{\pi }}f_0 t} ).$$
:*The <u>real part of this signal is always zero.</u>.  
:*The <u>real part of this signal is always zero</u>.  
:*At&nbsp; $t = 1 \, &micro;\text {s}$&nbsp; the following applies to the imaginary part:&nbsp; $\text{Im}[g(t = 1 \, &micro; \text {s})] = \;\underline{0.707\, \text{V}}$.
:*At&nbsp; $t = 1 \, &micro;\text {s}$&nbsp; the following applies to the imaginary part:&nbsp; $\text{Im}[g(t = 1 \, &micro; \text {s})] = \;\underline{0.707\, \text{V}}$.


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'''(3)'''&nbsp;  Because&nbsp; $X(f) = G(f)  + U(f)$&nbsp; also holds:
'''(3)'''&nbsp;  Because&nbsp; $X(f) = G(f)  + U(f)$&nbsp; also holds:
:$$x(t) = g(t) + u(t) = A \cdot \cos ( {2{\rm{\pi }}f_0 t} ) + {\rm{j}} \cdot A \cdot \sin( {2{\rm{\pi }}f_0 t} ).$$
:$$x(t) = g(t) + u(t) = A \cdot \cos ( {2{\rm{\pi }}f_0 t} ) + {\rm{j}} \cdot A \cdot \sin( {2{\rm{\pi }}f_0 t} ).$$
This result can be summarised by&nbsp; [[Signal_Representation/Calculating_With_Complex_Numbers#Representation_by_Amplidute_and_Phase|Euler's theorem]]&nbsp; as follows:
This result can be summarised by&nbsp; "Euler's theorem"&nbsp; as follows:
:$$x(t) = A \cdot {\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} .$$
:$$x(t) = A \cdot {\rm{e}}^{{\rm{j}}\hspace{0.05cm}\cdot \hspace{0.05cm}2{\rm{\pi }}\hspace{0.05cm}\cdot \hspace{0.05cm}f_0 \hspace{0.05cm}\cdot \hspace{0.05cm}t} .$$
The given <u>alternatives 1 and 3</u> are correct:
The given <u>alternatives 1 and 3</u> are correct:
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__NOEDITSECTION__
__NOEDITSECTION__
[[Category:Signal Representation: Exercises|^3.3 Fourier Transform Theorems^]]
[[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  $T_0 = 1/f_0 = 8 \, µ\text {s}$.