Aufgaben:Exercise 2.3: Sinusoidal Characteristic: Difference between revisions

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{{quiz-Header|Buchseite=Lineare zeitinvariante Systeme/Nichtlineare Verzerrungen
{{quiz-Header|Buchseite=Linear_and_Time_Invariant_Systems/Nonlinear_Distortion
}}
}}


[[File:P_ID894__LZI_A_2_3.png|right|frame|Sinusförmige Kennlinie]]
[[File:P_ID894__LZI_A_2_3.png|right|frame|Sinusoidal characteristic curve]]
Wie betrachten ein System mit Eingang  $x(t)$  und Ausgang  $y(t)$. Zur einfacheren Darstellung werden die Signale als dimensionslos betrachtet.
We consider a system with input  $x(t)$  and output  $y(t)$.  For simplicity of description, the signals are considered to be dimensionless.


Der Zusammenhang zwischen dem Eingangssignal  $x(t)$  und dem Ausgangssignal  $y(t)$  ist im Bereich zwischen  $-\pi/2$  und  $+\pi/2$  durch die folgende Kennlinie gegeben.
The relationship between the input signal  $x(t)$  and the output signal  $y(t)$  is given by the following characteristic curve in the range between  $-\pi/2$  and  $+\pi/2$:
:$$g(x) =  \sin(x) = x - \frac{x^3}{3!} + \frac{x^5}{5!} -
:$$g(x) =  \sin(x) = x - \frac{x^3}{3!} + \frac{x^5}{5!} -\hspace{0.05cm}\text{...}$$
\hspace{0.05cm}\text{...}$$


Der zweite Teil dieser Gleichung beschreibt dabei die Reihenentwicklung der Sinusfunktion.  
The second part of this equation describes the series expansion of the sine function.  


Als Näherungen für die nichtlineare Kennlinie werden in dieser Aufgabe verwendet:
As approximations for the nonlinear characteristic curve the following is used in this task:
:$$g_1(x) = x\hspace{0.05cm},$$
:$$g_1(x) = x\hspace{0.05cm},$$
:$$ g_3(x) = x- x^{3}\hspace{-0.1cm}/6\hspace{0.05cm},$$
:$$ g_3(x) = x- x^{3}\hspace{-0.1cm}/6\hspace{0.05cm},$$
:$$g_5(x) = x- x^3\hspace{-0.1cm}/{6}+x^5\hspace{-0.1cm}/{120}\hspace{0.05cm}.$$
:$$g_5(x) = x- x^3\hspace{-0.1cm}/{6}+x^5\hspace{-0.1cm}/{120}\hspace{0.05cm}.$$


Es wird stets das Eingangssignal  $x(t) = A \cdot \cos(\omega_0 \cdot t)$  vorausgesetzt, wobei für die (dimensionslose) Signalamplitude die Werte  $A = 0.5$,  $A = 1.0$  und  $A = 1.5$  zu betrachten sind.
*The input signal  $x(t) = A \cdot \cos(\omega_0 \cdot t)$  is always assumed. 
*The values  $A = 0.5$,  $A = 1.0$  and  $A = 1.5$  are to be considered for the (dimensionless) signal amplitude.




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''Hinweise:''  
''Please note:''  
*Die Aufgabe bezieht sich auf das Kapitel   [[Linear_and_Time_Invariant_Systems/Nichtlineare_Verzerrungen|Nichtlineare Verzerrungen]].
*The task belongs to the chapter   [[Linear_and_Time_Invariant_Systems/Nonlinear_Distortion|Nonlinear Distortions]].
*Die sich ergebenden Signalverläufe für  $x(t)$  und  $y(t)$  sind auf der Seite  [[Linear_and_Time_Invariant_Systems/Nichtlineare_Verzerrungen#Beschreibung_nichtlinearer_Systeme|Beschreibung nichtlinearer Systeme]]  grafisch dargestellt.
*The resulting signal curves for  $x(t)$  and  $y(t)$  are shown graphically on the page  [[Linear_and_Time_Invariant_Systems/Nonlinear_Distortions#Description_of_nonlinear_systems|Description of nonlinear systems]] .
*All powers required here refer to the resistance  $R = 1 \ \rm \Omega$  and thus have the unit  ${\rm V}^2$.
*Alle hier abgefragten Leistungen beziehen sich auf den Widerstand  $R = 1 \ \rm \Omega$  und haben somit die Einheit  ${\rm V}^2$.
*The following trigonometric relations are assumed to be known:
*Als bekannt vorausgesetzt werden die folgenden trigonometrischen Beziehungen:
:$$\cos^3(\alpha) =  {3}/{4} \cdot \cos(\alpha) + {1}/{4} \cdot \cos(3\alpha)\hspace{0.05cm}, $$
:$$\cos^3(\alpha) =  {3}/{4} \cdot \cos(\alpha) + {1}/{4} \cdot \cos(3\alpha)
:$$ \cos^5(\alpha) =  {10}/{16} \cdot \cos(\alpha) + {5}/{16} \cdot \cos(3\alpha)+ {1}/{16} \cdot \cos(5\alpha)\hspace{0.05cm}.$$
\hspace{0.05cm}, $$
:$$ \cos^5(\alpha) =  {10}/{16} \cdot \cos(\alpha) + {5}/{16} \cdot \cos(3\alpha)
+ {1}/{16} \cdot \cos(5\alpha)\hspace{0.05cm}.$$






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


<quiz display=simple>
<quiz display=simple>
{Welchen Klirrfaktor&nbsp; $K$&nbsp; erhält man mit der Kennliniennäherung&nbsp; $\underline{g_1(x)}$&nbsp; unabhängig von der Amplitude&nbsp; $A$&nbsp; des Eingangssignals?
{What distortion factor&nbsp; $K$&nbsp; is obtained with the approximation&nbsp; $\underline{g_1(x)}$&nbsp; of the characteristic curve independent of the amplitude&nbsp; $A$&nbsp; of the input signal?
|type="{}"}
|type="{}"}
$K \ = \ $ { 0. } $\ \%$
$K \ = \ $ { 0. } $\ \%$




{Berechnen Sie den Klirrfaktor&nbsp; $K$&nbsp; für das Eingangssignal&nbsp; $x(t) = A \cdot \cos(\omega_0 \cdot t)$&nbsp; und die Näherung&nbsp; $\underline{g_3(x)}$. <br>Welche Werte ergeben sich für&nbsp; $A = 0.5$&nbsp; und&nbsp; $A = 1.0$?
{Compute the distortion factor&nbsp; $K$&nbsp; for the input signal&nbsp; $x(t) = A \cdot \cos(\omega_0 \cdot t)$&nbsp; and the approximation&nbsp; $\underline{g_3(x)}$. <br>What values arise as a result for&nbsp; $A = 0.5$&nbsp; and&nbsp; $A = 1.0$?
|type="{}"}
|type="{}"}
$A = 0.5\hspace{-0.08cm}:\ \ K \ = \ $  { 1.08 3% } $\ \%$
$A = 0.5\hspace{-0.08cm}:\ \ K \ = \ $  { 1.08 3% } $\ \%$
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{Wie lautet der Klirrfaktor für&nbsp; $\underline{A = 1.0}$&nbsp; unter Berücksichtigung der Näherung&nbsp;  $\underline{g_5(x)}$?
{What is the distortion factor for&nbsp; $\underline{A = 1.0}$&nbsp; considering the approximation&nbsp;  $\underline{g_5(x)}$?
|type="{}"}
|type="{}"}
$K \ =  \ $ { 4.45 3% } $\ \%$
$K \ =  \ $ { 4.45 3% } $\ \%$




{Welche der folgenden Aussagen treffen zu? Hierbei bezeichnet&nbsp; $K$&nbsp; den Klirrfaktor der Sinusfunktion&nbsp; $g(x)$. <br>$K_{\rm g3}$&nbsp; und&nbsp; $K_{\rm g5}$&nbsp; basieren auf den Näherungen&nbsp; $g_3(x)$&nbsp; bzw.&nbsp; $g_5(x)$.
{Which of the following statements are true?&nbsp; Here,&nbsp; $K$&nbsp; denotes the distortion factor of the sine function&nbsp; $g(x)$. <br>$K_{\rm g3}$&nbsp; and&nbsp; $K_{\rm g5}$&nbsp; are based on the approximations&nbsp; $g_3(x)$&nbsp; and&nbsp; $g_5(x)$, respectively.
|type="[]"}
|type="[]"}
+ $K_{\rm g5}$&nbsp; stellt im Allgemeinen eine bessere Näherung für&nbsp; $K$&nbsp; dar als&nbsp; $K_{\rm g3}$.
+ $K_{\rm g5}$&nbsp; generally represents a better approximation for&nbsp; $K$&nbsp; than&nbsp; $K_{\rm g3}$.
- Für&nbsp; $A = 1.0$ &nbsp;gilt&nbsp; $K_{\rm g3} < K_{\rm g5}$.
- $K_{\rm g3} < K_{\rm g5}$ holds for&nbsp; $A = 1.0$.
+ Für&nbsp; $A = 0.5$ &nbsp;wird&nbsp; $K_{\rm g3} \approx K_{\rm g5}$ gelten.
+ $K_{\rm g3} \approx K_{\rm g5}$ will hold for&nbsp; $A = 0.5$.




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</quiz>
</quiz>


===Musterlösung===
===Solution===
{{ML-Kopf}}
{{ML-Kopf}}
'''(1)'''&nbsp; Die sehr ungenaue Näherung&nbsp; $g_1(x) = x$&nbsp; ist linear in&nbsp; $x$&nbsp; und führt deshalb auch nicht zu nichtlinearen Verzerrungen. Damit ergibt sich für den Klirrfaktor $\underline{K = 0}$.
'''(1)'''&nbsp; The very inaccurate approximation&nbsp; $g_1(x) = x$&nbsp; is linear in&nbsp; $x$&nbsp; and therefore does not result in nonlinear distortions. Hence, the distortion factor is $\underline{K = 0}$.






'''(2)'''&nbsp; Das analytische Spektrum (nur positive Frequenzen) des Eingangssignals lautet:
'''(2)'''&nbsp; The analytical spectrum&nbsp; (positive frequencies only)&nbsp; of the input signal is:
:$$X_+(f) = A  \cdot {\rm \delta}(f- f_0) .$$
:$$X_+(f) = A  \cdot {\rm \delta}(f- f_0) .$$


*Am Ausgang der nichtlinearen Kennlinie&nbsp; $g_3(x)$&nbsp; liegt dann folgendes Signal an:
*Then, the following signal is applied to the output of the nonlinear characteristic curve&nbsp; $g_3(x)$&nbsp;:
:$$y(t) = A \cdot {\rm cos}(\omega_0  t ) - \frac{A^3}{6} \cdot
:$$y(t) = A \cdot {\rm cos}(\omega_0  t ) - \frac{A^3}{6} \cdot{\rm cos}^3(\omega_0  t )=A \cdot {\rm cos}(\omega_0  t ) - \frac{3}{4} \cdot \frac{A^3}{6} \cdot{\rm cos}(\omega_0  t )- \frac{1}{4} \cdot \frac{A^3}{6} \cdot{\rm cos}(3\omega_0  t ) =  A_1 \cdot {\rm cos}(\omega_0  t )+ A_3 \cdot {\rm cos}(3\omega_0  t ).$$
{\rm cos}^3(\omega_0  t )=
A \cdot {\rm cos}(\omega_0  t ) - \frac{3}{4} \cdot \frac{A^3}{6} \cdot
{\rm cos}(\omega_0  t )- \frac{1}{4} \cdot \frac{A^3}{6} \cdot
{\rm cos}(3\omega_0  t ) =  A_1 \cdot {\rm cos}(\omega_0  t )
+ A_3 \cdot {\rm cos}(3\omega_0  t ).$$


*Für die Koeffizienten&nbsp; $A_1$&nbsp; und $A_3$ erhält man durch Koeffizientenvergleich:
*For the coefficients&nbsp; $A_1$&nbsp; and $A_3$ the following is obtained by comparison of coefficients:
:$$A_1 = A  - {A^3}\hspace{-0.1cm}/{8},  \hspace{0.5cm}A_3 =  - {A^3}\hspace{-0.1cm}/{24}.$$
:$$A_1 = A  - {A^3}\hspace{-0.1cm}/{8},  \hspace{0.5cm}A_3 =  - {A^3}\hspace{-0.1cm}/{24}.$$


*Mit $A = 0.5$ ergibt sich $A_1 \approx 0.484$ und&nbsp; $A_3 \approx 0.005$. Somit lautet der Klirrfaktor:
*Using&nbsp; $A = 0.5$&nbsp; the following is obtained:&nbsp; $A_1 \approx 0.484$&nbsp; and&nbsp; $A_3 \approx 0.005$.&nbsp; Thus, the distortion factor is:
:$$K = K_3 ={|A_3|}/{A_1}= {0.005}/{0.484} \hspace{0.15cm}\underline{ =  1.08\%}.$$
:$$K = K_3 ={|A_3|}/{A_1}= {0.005}/{0.484} \hspace{0.15cm}\underline{ =  1.08\%}.$$


:Anzumerken ist, dass bei der Näherung&nbsp; $g_3(x)$&nbsp; nur der kubische Anteil&nbsp; $K_3$&nbsp; des Klirrfaktors wirksam ist.  
:Note that for the approximation&nbsp; $g_3(x)$&nbsp; only the cubic part&nbsp; $K_3$&nbsp; of the distortion factor is effective.  


*Für&nbsp; $A = 1.0$&nbsp; und&nbsp; $A = 1.5$&nbsp; ergeben sich folgende Zahlenwerte:
*For&nbsp; $A = 1.0$&nbsp; and&nbsp; $A = 1.5$&nbsp; the following numerical values:
:$$A = 1.0: A_1 \approx 0.875, \hspace{0.2cm} A_3 \approx
:$$A = 1.0: A_1 \approx 0.875, \hspace{0.2cm} A_3 \approx-0.041\hspace{0.3cm} \Rightarrow \hspace{0.3cm} \hspace{0.15cm}\underline{K \approx 4.76\%}\; \; \Rightarrow \; \; K_{g3},$$
-0.041\hspace{0.3cm} \Rightarrow \hspace{0.3cm} \hspace{0.15cm}\underline{K \approx 4.76\%}\; \; \Rightarrow \; \; K_{g3},$$
:$$A = 1.5: A_1 \approx 1.078, \hspace{0.2cm} A_3 \approx-0.140\hspace{0.3cm} \Rightarrow \hspace{0.3cm} \hspace{0.15cm}{K \approx 13 \%}.$$
:$$A = 1.5: A_1 \approx 1.078, \hspace{0.2cm} A_3 \approx
-0.140\hspace{0.3cm} \Rightarrow \hspace{0.3cm} \hspace{0.15cm}{K \approx 13 \%}.$$






'''(3)'''&nbsp; In ähnlicher Weise wie beim Unterpunkt&nbsp; '''(2)'''&nbsp; gilt nun
'''(3)'''&nbsp; Similarly as in subtask&nbsp; '''(2)''',&nbsp;  
:$$y(t) = A_1 \cdot {\rm cos}(\omega_0  t ) + A_3 \cdot {\rm
:$$y(t) = A_1 \cdot {\rm cos}(\omega_0  t ) + A_3 \cdot {\rm cos}(3\omega_0  t )+ A_5 \cdot {\rm cos}(5\omega_0  t )$$
cos}(3\omega_0  t )+ A_5 \cdot {\rm cos}(5\omega_0  t )$$


:mit folgenden Koeffizienten:
:holds with the following coefficients:
:$$A_1 = A  - {A^3}\hspace{-0.1cm}/{8} + {A^5}\hspace{-0.1cm}/{192},\hspace{0.3cm}
:$$A_1 = A  - {A^3}\hspace{-0.1cm}/{8} + {A^5}\hspace{-0.1cm}/{192},\hspace{0.3cm}A_3 =  - {A^3}\hspace{-0.1cm}/{24} +  {A^5}\hspace{-0.1cm}/{384},\hspace{0.3cm}A_5 =  {A^5}\hspace{-0.1cm}/{1920}.$$
A_3 =  - {A^3}\hspace{-0.1cm}/{24} +  {A^5}\hspace{-0.1cm}/{384},\hspace{0.3cm}
A_5 =  {A^5}\hspace{-0.1cm}/{1920}.$$


*Daraus ergeben sich mit&nbsp; $A=1$&nbsp; die Zahlenwerte:
*From this, the following numerical values arise a result with&nbsp; $A=1$&nbsp;:
:$$A_1 \approx 1 -0.125 +0.005 = 0.880,\hspace{0.3cm}
:$$A_1 \approx 1 -0.125 +0.005 = 0.880,\hspace{0.3cm}A_3 \approx  -0.042 +0.003 = -0.039,\hspace{0.3cm}A_5 \approx 0.0005$$
A_3 \approx  -0.042 +0.003 = -0.039,\hspace{0.3cm}
:$$\Rightarrow \hspace{0.3cm}K_3 = {|A_3|}/{A_1}= 0.0443,\hspace{0.3cm}K_5 ={|A_5|}/{A_1}= 0.0006 \hspace{0.3cm} \Rightarrow \hspace{0.3cm} K = \sqrt{K_3^2 + K_5^2}  \hspace{0.15cm}\underline{\approx 4.45\%}\; \; \Rightarrow \; \; K_{g5}.$$
A_5 \approx 0.0005$$
:$$\Rightarrow \hspace{0.3cm}K_3 = {|A_3|}/{A_1}= 0.0443,\hspace{0.3cm}K_5 =
{|A_5|}/{A_1}= 0.0006 \hspace{0.3cm} \Rightarrow \hspace{0.3cm} K = \sqrt{K_3^2 + K_5^2}  \hspace{0.15cm}\underline{\approx 4.45\%}
\; \; \Rightarrow \; \; K_{g5}.$$




'''(4)'''&nbsp; Richtig sind die <u>Lösungsvorschläge 1 und 3</u>:
'''(4)'''&nbsp; <u>Approaches 1 and 3</u>&nbsp; are correct:
*Der Ansatz&nbsp; $g_5(x)$&nbsp; ist im gesamten Bereich eine bessere Näherung für die Sinusfunktion&nbsp; $g(x)$&nbsp; als die Näherung&nbsp; $g_3(x)$.  
*The approach&nbsp; $g_5(x)$&nbsp; is a better approximation for the sine function&nbsp; $g(x)$&nbsp; than the approximation&nbsp; $g_3(x)$ in the entire domain.  
*Deshalb ist der in der Teilaufgabe&nbsp; '''(3)'''&nbsp; berechnete Wert&nbsp; $K_{g5}$&nbsp; eine bessere Näherung für den tatsächlichen Klirrfaktor als&nbsp; $K_{g3}$. <br>die erste Aussage ist somit richtig.
*Thus, the value&nbsp; $K_{g5}$&nbsp; computed in the subtask&nbsp; '''(3)'''&nbsp; is a better approximation for the actual distortion factor than&nbsp; $K_{g3}$. <br>Therefore, the first statement is correct.
*Die zweite Aussage ist falsch, wie schon die Berechnung für&nbsp; $A=1$&nbsp; gezeigt hat: &nbsp; $K_{g3} \approx 4.76 \%$&nbsp; ist größer als&nbsp; $K_{g5} \approx 4.45 \%$.  
*The second statement is false as already shown by the computation for&nbsp; $A=1$&nbsp;: &nbsp; $K_{g3} \approx 4.76 \%$&nbsp; is greater than&nbsp; $K_{g5} \approx 4.45 \%$.  
*Der Grund hierfür ist, dass $g_3(x)$ unterhalb von $g_5(x)$ liegt und damit auch eine größere Abweichung vom linearen Verlauf vorliegt.
*The reason for this is that&nbsp; $g_3(x)$&nbsp; is below&nbsp; $g_5(x)$&nbsp; and thus there is also a greater deviation from the linear curve.
*Für&nbsp; $A=0.5$&nbsp; wird&nbsp; $K_{g5} \approx K_{g3} = 1.08 \%$&nbsp; gelten.  
*For&nbsp; $A=0.5$&nbsp;,&nbsp; $K_{g5} \approx K_{g3} = 1.08 \%$&nbsp; will hold.  
*Die Kennlinie auf der Angabenseite zeigt, dass  für&nbsp; $|x| \le 0.5$&nbsp; die Funktionen&nbsp; $g_3(x)$&nbsp; und&nbsp; $g_5(x)$&nbsp; innerhalb der Zeichengenauigkeit nicht zu unterscheiden sind.  
*The characteristic curve on the information page shows that for&nbsp; $|x| \le 0.5$&nbsp; the functions&nbsp; $g_3(x)$&nbsp; and&nbsp; $g_5(x)$&nbsp; are indistinguishable within the accuracy of drawing.  
*Damit ergeben sich auch gleiche Klirrfaktoren.  
*This also results in&nbsp; (nearly)&nbsp; the same distortion factors.  
{{ML-Fuß}}
{{ML-Fuß}}






[[Category:Aufgaben zu Lineare zeitinvariante Systeme|^2.2 Nichtlineare Verzerrungen^]]
[[Category:Linear and Time-Invariant Systems: Exercises|^2.2 Nonlinear Distortions^]]
[[de:Aufgaben:Aufgabe 2.3: Sinusförmige Kennlinie]]

Latest revision as of 17:56, 16 March 2026

Sinusoidal characteristic curve

We consider a system with input  $x(t)$  and output  $y(t)$.  For simplicity of description, the signals are considered to be dimensionless.

The relationship between the input signal  $x(t)$  and the output signal  $y(t)$  is given by the following characteristic curve in the range between  $-\pi/2$  and  $+\pi/2$:

$$g(x) = \sin(x) = x - \frac{x^3}{3!} + \frac{x^5}{5!} -\hspace{0.05cm}\text{...}$$

The second part of this equation describes the series expansion of the sine function.

As approximations for the nonlinear characteristic curve the following is used in this task:

$$g_1(x) = x\hspace{0.05cm},$$
$$ g_3(x) = x- x^{3}\hspace{-0.1cm}/6\hspace{0.05cm},$$
$$g_5(x) = x- x^3\hspace{-0.1cm}/{6}+x^5\hspace{-0.1cm}/{120}\hspace{0.05cm}.$$
  • The input signal  $x(t) = A \cdot \cos(\omega_0 \cdot t)$  is always assumed. 
  • The values  $A = 0.5$,  $A = 1.0$  and  $A = 1.5$  are to be considered for the (dimensionless) signal amplitude.





Please note:

  • The task belongs to the chapter  Nonlinear Distortions.
  • The resulting signal curves for  $x(t)$  and  $y(t)$  are shown graphically on the page  Description of nonlinear systems .
  • All powers required here refer to the resistance  $R = 1 \ \rm \Omega$  and thus have the unit  ${\rm V}^2$.
  • The following trigonometric relations are assumed to be known:
$$\cos^3(\alpha) = {3}/{4} \cdot \cos(\alpha) + {1}/{4} \cdot \cos(3\alpha)\hspace{0.05cm}, $$
$$ \cos^5(\alpha) = {10}/{16} \cdot \cos(\alpha) + {5}/{16} \cdot \cos(3\alpha)+ {1}/{16} \cdot \cos(5\alpha)\hspace{0.05cm}.$$


Questions

1 What distortion factor  $K$  is obtained with the approximation  $\underline{g_1(x)}$  of the characteristic curve independent of the amplitude  $A$  of the input signal?

$K \ = \ $ $\ \%$

2 Compute the distortion factor  $K$  for the input signal  $x(t) = A \cdot \cos(\omega_0 \cdot t)$  and the approximation  $\underline{g_3(x)}$.
What values arise as a result for  $A = 0.5$  and  $A = 1.0$?

$A = 0.5\hspace{-0.08cm}:\ \ K \ = \ $ $\ \%$
$A = 1.0\hspace{-0.08cm}:\ \ K \ = \ $ $\ \%$

3 What is the distortion factor for  $\underline{A = 1.0}$  considering the approximation  $\underline{g_5(x)}$?

$K \ = \ $ $\ \%$

4 Which of the following statements are true?  Here,  $K$  denotes the distortion factor of the sine function  $g(x)$.
$K_{\rm g3}$  and  $K_{\rm g5}$  are based on the approximations  $g_3(x)$  and  $g_5(x)$, respectively.

$K_{\rm g5}$  generally represents a better approximation for  $K$  than  $K_{\rm g3}$.
$K_{\rm g3} < K_{\rm g5}$ holds for  $A = 1.0$.
$K_{\rm g3} \approx K_{\rm g5}$ will hold for  $A = 0.5$.


Solution

(1)  The very inaccurate approximation  $g_1(x) = x$  is linear in  $x$  and therefore does not result in nonlinear distortions. Hence, the distortion factor is $\underline{K = 0}$.


(2)  The analytical spectrum  (positive frequencies only)  of the input signal is:

$$X_+(f) = A \cdot {\rm \delta}(f- f_0) .$$
  • Then, the following signal is applied to the output of the nonlinear characteristic curve  $g_3(x)$ :
$$y(t) = A \cdot {\rm cos}(\omega_0 t ) - \frac{A^3}{6} \cdot{\rm cos}^3(\omega_0 t )=A \cdot {\rm cos}(\omega_0 t ) - \frac{3}{4} \cdot \frac{A^3}{6} \cdot{\rm cos}(\omega_0 t )- \frac{1}{4} \cdot \frac{A^3}{6} \cdot{\rm cos}(3\omega_0 t ) = A_1 \cdot {\rm cos}(\omega_0 t )+ A_3 \cdot {\rm cos}(3\omega_0 t ).$$
  • For the coefficients  $A_1$  and $A_3$ the following is obtained by comparison of coefficients:
$$A_1 = A - {A^3}\hspace{-0.1cm}/{8}, \hspace{0.5cm}A_3 = - {A^3}\hspace{-0.1cm}/{24}.$$
  • Using  $A = 0.5$  the following is obtained:  $A_1 \approx 0.484$  and  $A_3 \approx 0.005$.  Thus, the distortion factor is:
$$K = K_3 ={|A_3|}/{A_1}= {0.005}/{0.484} \hspace{0.15cm}\underline{ = 1.08\%}.$$
Note that for the approximation  $g_3(x)$  only the cubic part  $K_3$  of the distortion factor is effective.
  • For  $A = 1.0$  and  $A = 1.5$  the following numerical values:
$$A = 1.0: A_1 \approx 0.875, \hspace{0.2cm} A_3 \approx-0.041\hspace{0.3cm} \Rightarrow \hspace{0.3cm} \hspace{0.15cm}\underline{K \approx 4.76\%}\; \; \Rightarrow \; \; K_{g3},$$
$$A = 1.5: A_1 \approx 1.078, \hspace{0.2cm} A_3 \approx-0.140\hspace{0.3cm} \Rightarrow \hspace{0.3cm} \hspace{0.15cm}{K \approx 13 \%}.$$


(3)  Similarly as in subtask  (2)

$$y(t) = A_1 \cdot {\rm cos}(\omega_0 t ) + A_3 \cdot {\rm cos}(3\omega_0 t )+ A_5 \cdot {\rm cos}(5\omega_0 t )$$
holds with the following coefficients:
$$A_1 = A - {A^3}\hspace{-0.1cm}/{8} + {A^5}\hspace{-0.1cm}/{192},\hspace{0.3cm}A_3 = - {A^3}\hspace{-0.1cm}/{24} + {A^5}\hspace{-0.1cm}/{384},\hspace{0.3cm}A_5 = {A^5}\hspace{-0.1cm}/{1920}.$$
  • From this, the following numerical values arise a result with  $A=1$ :
$$A_1 \approx 1 -0.125 +0.005 = 0.880,\hspace{0.3cm}A_3 \approx -0.042 +0.003 = -0.039,\hspace{0.3cm}A_5 \approx 0.0005$$
$$\Rightarrow \hspace{0.3cm}K_3 = {|A_3|}/{A_1}= 0.0443,\hspace{0.3cm}K_5 ={|A_5|}/{A_1}= 0.0006 \hspace{0.3cm} \Rightarrow \hspace{0.3cm} K = \sqrt{K_3^2 + K_5^2} \hspace{0.15cm}\underline{\approx 4.45\%}\; \; \Rightarrow \; \; K_{g5}.$$


(4)  Approaches 1 and 3  are correct:

  • The approach  $g_5(x)$  is a better approximation for the sine function  $g(x)$  than the approximation  $g_3(x)$ in the entire domain.
  • Thus, the value  $K_{g5}$  computed in the subtask  (3)  is a better approximation for the actual distortion factor than  $K_{g3}$.
    Therefore, the first statement is correct.
  • The second statement is false as already shown by the computation for  $A=1$ :   $K_{g3} \approx 4.76 \%$  is greater than  $K_{g5} \approx 4.45 \%$.
  • The reason for this is that  $g_3(x)$  is below  $g_5(x)$  and thus there is also a greater deviation from the linear curve.
  • For  $A=0.5$ ,  $K_{g5} \approx K_{g3} = 1.08 \%$  will hold.
  • The characteristic curve on the information page shows that for  $|x| \le 0.5$  the functions  $g_3(x)$  and  $g_5(x)$  are indistinguishable within the accuracy of drawing.
  • This also results in  (nearly)  the same distortion factors.