Aufgaben:Exercise 1.5: Cosine-Square Spectrum: Difference between revisions

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{{quiz-Header|Buchseite=Digitalsignalübertragung/Eigenschaften von Nyquistsystemen
{{quiz-Header|Buchseite=Digital_Signal_Transmission/Properties_of_Nyquist_Systems
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[[File:P_ID1282__Dig_A_1_5.png|right|frame|Cosinus-Quadrat-Nyquistspektrum]]
[[File:P_ID1282__Dig_A_1_5.png|right|frame|Cosine-square Nyquist spectrum]]
Betrachtet wird das Spektrum  $G(f)$  mit  $\cos^{2}$–förmigem Verlauf entsprechend der Skizze. Dieses erfüllt das erste Nyquistkriterium:
The spectrum  $G(f)$  with  $\cos^{2}$–shaped course is considered according to the sketch.  This satisfies the first Nyquist criterion:
:$$\sum_{k = -\infty}^{+\infty} G(f -{k}/{T} ) =  {\rm const.}$$
:$$\sum_{k = -\infty}^{+\infty} G(f -{k}/{T} ) =  {\rm const.}$$
Dementsprechend hat der zugehörige Impuls  $g(t)$  Nulldurchgänge bei Vielfachen von  $T$, wobei  $T$  noch zu bestimmen ist. Durch Fourierrücktransformation von  $G(f)$  erhält man die Gleichung für den Zeitverlauf:
Accordingly,  the associated pulse  $g(t)$  has zero crossings at multiples of  $T$,  where  $T$  remains to be determined.  The inverse Fourier  transform of  $G(f)$  yields the equation for the time course:
:$$g( t )= g_0 \cdot  \frac{\cos(\pi \cdot t/T)}{1 - (2 \cdot
:$$g( t )= g_0 \cdot  \frac{\cos(\pi \cdot t/T)}{1 - (2 \cdott/T)^2}\cdot {\rm sinc}( {t}/{T})\hspace{0.5cm} \text{with}\hspace{0.5cm} {\rm sinc}(x)=\sin(\pi x)/(\pi x)\hspace{0.05cm}.$$
t/T)^2}\cdot {\rm si}(\pi \cdot {t}/{T})\hspace{0.05cm}.$$
The questions for this exercise refer to the following properties:
In den Fragen zu dieser Aufgabe werden auf folgende Eigenschaften Bezug genommen:
*The spectral function  $G(f)$  is a special case of the cosine rolloff spectrum,  which is point symmetric about the Nyquist frequency  $f_{\rm Nyq}$. 
*Die Spektralfunktion  $G(f)$  ist ein Sonderfall des Cosinus–Rolloff–Spektrums, das punktsymmetrisch um die Nyquistfrequenz  $f_{\rm Nyq}$  ist.
*The cosine rolloff spectrum is completely characterized by the corner frequencies  $f_{1}$  and  $f_{2}$.   
*Das Cosinus–Rolloff–Spektrum ist durch die Eckfrequenzen  $f_{1}$  und  $f_{2}$  vollständig gekennzeichnet.
* For &nbsp;$| f | < f_{1}$,&nbsp; &nbsp;$G(f) = g_{0} \cdot T = \rm const.$,&nbsp; while the spectrum for &nbsp;$| f | > f_{2}$&nbsp; has no components.&nbsp;
* Für &nbsp;$| f | < f_{1}$&nbsp; ist &nbsp;$G(f) = g_{0} \cdot T = \rm const.$, während das Spektrum für &nbsp;$| f | > f_{2}$&nbsp; keine Anteile besitzt.
*The relation between the Nyquist frequency and the corner frequencies is:
*Der Zusammenhang zwischen der Nyquistfrequenz und den Eckfrequenzen lautet:
:$$f_{\rm Nyq}=  \frac{f_1 +f_2 }{2 }\hspace{0.05cm}.$$
:$$f_{\rm Nyq}=  \frac{f_1 +f_2 }
*The edge steepness is characterized by the so-called rolloff factor:
{2 }\hspace{0.05cm}.$$
:$$r = \frac{f_2 -f_1 }{f_2 +f_1 }\hspace{0.2cm}(0 \le r \le 1) \hspace{0.05cm}.$$
*Die Flankensteilheit wird durch den so genannten Rolloff–Faktor charakterisiert:
:$$r = \frac{f_2 -f_1 }
{f_2 +f_1 }\hspace{0.2cm}(0 \le r \le 1) \hspace{0.05cm}.$$






 
Note:&nbsp; The exercise belongs to the chapter&nbsp;  [[Digital_Signal_Transmission/Properties_of_Nyquist_Systems|"Properties of Nyquist Systems"]].
 
''Hinweis:''
*Die Aufgabe gehört zum  Kapitel&nbsp;  [[Digitalsignalübertragung/Eigenschaften_von_Nyquistsystemen|Eigenschaften von Nyquistsystemen]].
   
   




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


<quiz display=simple>
<quiz display=simple>


{Welche Eckfrequenzen besitzt dieses Cosinus–Rolloff–Spektrum?
{What are the corner frequencies of this cosine rolloff spectrum?
|type="{}"}
|type="{}"}
$f_{1} \ = \ $ { 0 3% } $\ \rm MHz$
$f_{1} \ = \ $ { 0 3% } $\ \rm MHz$
$f_{2} \ = \ $ { 2 3% } $\ \rm MHz$
$f_{2} \ = \ $ { 2 3% } $\ \rm MHz$


{Wie groß sind die Nyquistfrequenz und der Rolloff–Faktor?
{What are the Nyquist frequency and the rolloff factor?
|type="{}"}
|type="{}"}
$f_{\rm Nyq} \ = \ $ { 1 3% } $\ \rm MHz$
$f_{\rm Nyq} \ = \ $ { 1 3% } $\ \rm MHz$
$r \ = \ $ { 1 3% }
$r \ = \ $ { 1 3% }


{In welchem zeitlichen Abstand &nbsp;$T$&nbsp; besitzt &nbsp;$g(t)$&nbsp; Nulldurchgänge?
{At what time interval &nbsp;$T$&nbsp; does &nbsp;$g(t)$&nbsp; have zero crossings?
|type="{}"}
|type="{}"}
$T \ = \ $  { 0.5 3% } $\ \rm &micro; s$
$T \ = \ $  { 0.5 3% } $\ \rm &micro; s$


{Welche der folgenden Aussagen sind zutreffend?
{Which of the following statements is true?
|type="[]"}
|type="[]"}
+ $g(t)$&nbsp; erfüllt das erste Nyquistkriterium wegen des &nbsp;$\rm si$–Terms.
+ $g(t)$&nbsp; satisfies the first Nyquist criterion because of the &nbsp;$\rm sinc$&ndash;term.
- $g(t)$&nbsp; besitzt weitere Nulldurchgänge bei &nbsp;$\pm 0.5T, &nbsp;\pm 1.5T, &nbsp;\pm 2.5 T, \text{...}$
- $g(t)$&nbsp; has further zero crossings at &nbsp;$\pm 0.5T, &nbsp;\pm 1.5T, &nbsp;\pm 2.5 T, \text{...}$
+ Das &nbsp;$\cos^{2}$–Spektrum erfüllt auch das zweite Nyquistkriterium.
+ The &nbsp;$\cos^{2}$&ndash;spectrum also satisfies the second Nyquist criterion.




{Welchen (normierten) Wert besitzt der Impuls zum Zeitpunkt &nbsp;$t = T/2$?
{What is the&nbsp; (normalized)&nbsp; value of the pulse at time &nbsp;$t = T/2$?
|type="{}"}
|type="{}"}
$g(t = T/2)/g_{0} \ = \ $ { 0.5 3% }
$g(t = T/2)/g_{0} \ = \ $ { 0.5 3% }
Line 63: Line 57:
</quiz>
</quiz>


===Musterlösung===
===Solution===
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'''(1)'''&nbsp; Die obere Eckfrequenz kann aus der Grafik abgelesen werden: &nbsp; $f_{2} \underline{= 2 \ \rm MHz}$. Da das Spektrum in keinem Bereich konstant ist, gilt $f_{1} \underline {= 0}$.
'''(1)'''&nbsp; The upper corner frequency can be read from the diagram: &nbsp; $f_{2} \underline{= 2 \ \rm MHz}$.&nbsp; Since the spectrum is not constant in any range, $f_{1} \underline {= 0}$.






'''(2)'''&nbsp; Aus den angegebenen Gleichungen erhält man:
'''(2)'''&nbsp; From the given equations we obtain:
:$$f_{\rm Nyq}  = \  \frac{f_1 +f_2 }
:$$f_{\rm Nyq}  = \  \frac{f_1 +f_2 }{2 }\hspace{0.1cm}\underline { = 1\,{\rm MHz}}\hspace{0.05cm},\hspace{0.5cm} r = \ \frac{f_2 -f_1 } {f_2 +f_1 }\hspace{0.1cm}\underline { = 1 }\hspace{0.05cm}.$$
{2 }\hspace{0.1cm}\underline { = 1\,{\rm MHz}}\hspace{0.05cm},\hspace{0.5cm} r = \ \frac{f_2 -f_1 } {f_2 +f_1 }\hspace{0.1cm}\underline { = 1 }\hspace{0.05cm}.$$




'''(3)'''&nbsp; Der Abstand äquidistanter Nulldurchgänge hängt direkt mit der Nyquistfrequenz zusammen:
'''(3)'''&nbsp; The spacing of equidistant zero crossings is directly related to the Nyquist frequency:
:$$f_{\rm Nyq}= \frac{1}{2T} \hspace{0.3cm} \Rightarrow \hspace{0.3cm} T= \frac{1}{2f_{\rm Nyq}}\hspace{0.1cm}\underline { = 0.5\,{\rm &micro; s}}\hspace{0.05cm}.$$
:$$f_{\rm Nyq}= \frac{1}{2T} \hspace{0.3cm} \Rightarrow \hspace{0.3cm} T= \frac{1}{2f_{\rm Nyq}}\hspace{0.1cm}\underline { = 0.5\,{\rm &micro; s}}\hspace{0.05cm}.$$




'''(4)'''&nbsp; Richtig sind die <u>Aussagen 1 und 3</u>:
'''(4)'''&nbsp; <u>Statements 1 and 3</u>&nbsp; are correct:
*Die erste Aussage ist richtig: &nbsp; Die Funktion $si(π · t/T)$ führt zu Nulldurchgängen bei $\nu T (\nu \neq 0)$.  
*The first statement is correct: &nbsp; The function&nbsp; ${\rm sinc}(t/T)$&nbsp; leads to zero crossings at&nbsp; $\nu T (\nu \neq 0)$.  
*Auch die letzte Aussage trifft zu: &nbsp;Wegen $g(t) = 0$ für $t =\pm 1.5T, \pm 2.5T, \pm 3.5T, ...$ wird auch das zweite Nyquistkriterium erfüllt.  
*The last statement is also true: &nbsp;Because of&nbsp; $g(t) = 0$&nbsp; for&nbsp; $t =\pm 1.5T, \pm 2.5T, \pm 3.5T, ...$&nbsp; the second Nyquist criterion is also fulfilled.
*Falsch ist dagegen die mittlere Aussage, da $g(t = T/2) \neq 0$ ist.  
*On the other hand,&nbsp; the middle statement is false,&nbsp; since $g(t = T/2) \neq 0$.  
 
*The condition for the second Nyquist criterion is in the frequency domain:
*Die Bedingung für das zweite Nyquistkriterium lautet im Frequenzbereich:
:$$G_{\rm Per}(f) = \sum_{k = -\infty}^{+\infty} \frac {G \left ( f -{k}/{T} \right)}{\cos(\pi \cdot f \cdot T - k \cdot \pi)}={\rm const.}$$
:$$G_{\rm Per}(f) = \sum_{k = -\infty}^{+\infty} \frac {G \left ( f -
*The condition is indeed fulfilled for the&nbsp; cos$^{2}$&ndash;spectrum,&nbsp; as can be shown after a longer calculation.  
\frac{k}{T} \right)}{\cos(\pi \cdot f \cdot T - k \cdot \pi)}=
*We restrict ourselves here to the frequency range&nbsp; $| f · T | \leq 1$&nbsp; and set&nbsp; $g_{0} \cdot  T = 1$&nbsp; for simplicity:
{\rm const.}$$
:$$G_{\rm Per}(f) =  \frac {\cos^2 \left [\pi/2 \cdot  ( f_{\rm Nyq}- f) \cdot T \right ]}{\cos \left [\pi \cdot  ( f_{\rm Nyq} - f)\cdot T \right ]}+\frac {\cos^2 \left [\pi/2 \cdot  ( f_{\rm Nyq}+ f) \cdot T \right ]}{\cos \left [\pi \cdot  ( f_{\rm Nyq} + f)\cdot T \right ]}\hspace{0.05cm}.$$
*Die Bedingung ist beim cos$^{2}$–Spektrum tatsächlich erfüllt, wie man nach längerer Rechnung zeigen kann. Wir beschränken uns hier auf den Frequenzbereich $| f · T | \leq 1$ und setzen vereinfachend $g_{0} \cdot  T = 1$:
*Further holds:
:$$G_{\rm Per}(f) =  \frac {\cos^2 \left [\pi/2 \cdot  ( f_{\rm Nyq}
:$$\frac {\cos^2 (x)}{\cos(2x)} = {1}/{2} \cdot \frac{1+\cos(2x)}{\cos(2x)}= {1}/{2} \cdot \left [1+ \frac{1}{\cos(2x)}\right ]$$
- f) \cdot T \right ]}{\cos \left [\pi \cdot  ( f_{\rm Nyq} - f)
:$$\Rightarrow \hspace{0.3cm} G_{\rm Per}(f) =  {1}/{2}\cdot \left [1+ \frac {1}{\cos \left [\pi \cdot ( f_{\rm Nyq}- f) \cdot T \right ]} +1- \frac {1}{\cos \left [\pi \cdot ( f_{\rm Nyq}+ f) \cdot T \right ]}\right ]\hspace{0.05cm}.$$
\cdot T \right ]}+\frac {\cos^2 \left [\pi/2 \cdot  ( f_{\rm Nyq}
* Because of&nbsp; $\cos \left [ \pi \cdot ( f_{\rm Nyq} \pm f) \cdot T \right] = \cos
+ f) \cdot T \right ]}{\cos \left [\pi \cdot  ( f_{\rm Nyq} + f)
\cdot T \right ]}\hspace{0.05cm}.$$
*Weiter gilt:
:$$\frac {\cos^2 (x)}{\cos(2x)} = {1}/{2} \cdot \frac
{1+\cos(2x)}{\cos(2x)}= {1}/{2} \cdot \left [1+ \frac
{1}{\cos(2x)}\right ]$$
:$$\Rightarrow \hspace{0.3cm} G_{\rm Per}(f) =  {1}/{2}
\cdot \left [1+ \frac {1}{\cos \left [\pi \cdot ( f_{\rm Nyq}
- f) \cdot T \right ]} +1- \frac {1}{\cos \left [\pi \cdot ( f_{\rm Nyq}
+ f) \cdot T \right ]}\right ]\hspace{0.05cm}.$$
* Wegen $\cos \left [ \pi \cdot ( f_{\rm Nyq} \pm f) \cdot T \right] = \cos
\left (  {\pi}/{2} \pm \pi  f  T \right) =  \sin \left ( \pm
\left (  {\pi}/{2} \pm \pi  f  T \right) =  \sin \left ( \pm
\pi  f  T \right)\text{:}$
\pi  f  T \right)\text{:}$
:$$\Rightarrow \hspace{0.3cm} G_{\rm Per}(f) =  2 - \frac {1}{\sin
:$$\Rightarrow \hspace{0.3cm} G_{\rm Per}(f) =  2 - \frac {1}{\sin(\pi  f  T)} + \frac {1}{\sin (\pi  f  T)} = 2  = {\rm const}\hspace{0.05cm}.$$
(\pi  f  T)} + \frac {1}{\sin (\pi  f  T)} = 2  = {\rm const}\hspace{0.05cm}.$$




'''(5)'''&nbsp; Für $t = T/2$ liefert die angegebene Gleichung einen unbestimmten Wert (0 geteilt durch 0), der mit der Regel von l'Hospital ermittelt werden kann.  
'''(5)'''&nbsp; For&nbsp; $t = T/2$,&nbsp; the given equation yields an indeterminate value&nbsp; ("0 divided by 0"),&nbsp; which can be determined using l'Hospital's rule.
*Dazu bildet man die Ableitungen von Zähler und Nenner und setzt in das Ergebnis den gewünschten Zeitpunkt $t = T/2$ ein:
*To do this,&nbsp; form the derivatives of the numerator and denominator and insert the desired time&nbsp; $t = T/2$&nbsp; into the result:


:$$\frac{g( t = T/2)}{g_0}  = \ {{\rm si}(\pi \cdot \frac{t}{T})
:$$\frac{g( t = T/2)}{g_0}  = \ {{\rm sinc}( \frac{t}{T})\cdot \frac{{\rm d}/{\rm d}t \left [ \cos(\pi \cdott/T)\right]}{{\rm d}/{\rm d}t\left [ 1 - (2 \cdot t/T)^2\right]}}\bigg |_{t = T/2}  = \ {{\rm sinc}( \frac{t}{T}) \cdot \frac{- \pi/T \cdot\sin(\pi \cdot t/T)}{-2 \cdot (2\cdot t/T) \cdot (2/T)}} \bigg |_{t = T/2} = \frac {2}{\pi}\cdot\frac {\pi}{4}\hspace{0.1cm}\underline { = 0.5}\hspace{0.05cm}.$$
\cdot \frac{{\rm d}/{\rm d}t \left [ \cos(\pi \cdot
t/T)\right]}{{\rm d}/{\rm d}t\left [ 1 - (2 \cdot t/T)^2\right]}}
\bigg |_{t = T/2}  = \ {{\rm si}(\pi \cdot \frac{t}{T}) \cdot \frac{- \pi/T \cdot
\sin(\pi \cdot t/T)}{-2 \cdot (2\cdot t/T) \cdot (2/T)}} \bigg |_{t = T/2} = \frac {2}{\pi}\cdot
\frac {\pi}{4}\hspace{0.1cm}\underline { = 0.5}\hspace{0.05cm}.$$


*Ein zweiter Lösungsweg führt zu der Darstellung:
*A second solution method leads to the expression:
:$$\frac{g( t )}{g_0}  = {\rm si}(\pi \cdot \frac{t}{T}) \cdot
:$$\frac{g( t )}{g_0}  = {\rm sinc}( \frac{t}{T}) \cdot\frac {\pi}{4} \cdot \big [ {\rm sinc}( t/T + 1/2) +{\rm sinc}(t/T - 1/2)\big] \hspace{0.05cm}.$$
\frac {\pi}{4} \cdot \big [ {\rm si}(\pi \cdot (t/T + 1/2)) +
*The second bracket expression can be transformed as follows:
{\rm si}(\pi \cdot (t/T - 1/2))\big] \hspace{0.05cm}.$$
:$$\frac {\pi}{4} \cdot \bigg [ \hspace{0.1cm}... \hspace{0.1cm}\bigg ]  = \  \frac {\pi}{4} \cdot \left [ \frac {{\rm sin}(\pi\cdot t/T + \pi/2)}{\pi \cdot t/T + \pi/2} + \frac {{\rm sin}(\pi\cdot t/T - \pi/2)}{\pi \cdot t/T - \pi/2}\right]    = \  \frac {1}{2} \cdot {\rm cos}(\pi\cdot t/T )\cdot \left [ \frac {1}{2 \cdot t/T + 1} - \frac {1}{ 2\cdot t/T - 1}\right] $$
*Der zweite Klammerausdruck kann wie folgt umgeformt werden:
:$$\Rightarrow \hspace{0.3cm} \frac {\pi}{4} \cdot \bigg [ \hspace{0.1cm}... \hspace{0.1cm}\bigg ]    = \  \frac {1}{2} \cdot {\rm cos}(\pi\cdot t/T )\cdot \frac{1- 2 \cdot t/T + 1+ 2 \cdot t/T}{(1+ 2\cdot t/T)(1- 2 \cdot t/T)}= \frac{\cos(\pi \cdot t/T)}{1 - (2\cdot t/T)^2}\hspace{0.05cm}.$$
:$$\frac {\pi}{4} \cdot \bigg [ \hspace{0.1cm}... \hspace{0.1cm}
*It follows that both expressions are actually equal.&nbsp; Thus,&nbsp; for time&nbsp; $t = T/2$,&nbsp; the following is still true:
\bigg ]  = \  \frac {\pi}{4} \cdot \left [ \frac {{\rm sin}(\pi
:$$\frac{g( t = T/2)}{g_0}  = {\rm sinc}(  0.5) \cdot \frac{\pi}{4} \cdot \big [ {\rm sinc}(1 ) + {\rm sinc}(0)\big]= \frac{2}{\pi}\cdot \frac {\pi}{4} = 0.5 \hspace{0.05cm}.$$
\cdot t/T + \pi/2)}{\pi \cdot t/T + \pi/2} + \frac {{\rm sin}(\pi
\cdot t/T - \pi/2)}{\pi \cdot t/T - \pi/2}\right]    = \  \frac {1}{2} \cdot {\rm cos}(\pi
\cdot t/T )\cdot \left [ \frac {1}{2 \cdot t/T + 1} - \frac {1}{ 2
\cdot t/T - 1}\right] $$
:$$\Rightarrow \hspace{0.3cm} \frac {\pi}{4} \cdot \bigg [ \hspace{0.1cm}... \hspace{0.1cm}
\bigg ]    = \  \frac {1}{2} \cdot {\rm cos}(\pi
\cdot t/T )\cdot \frac{1- 2 \cdot t/T + 1+ 2 \cdot t/T}{(1+ 2
\cdot t/T)(1- 2 \cdot t/T)}= \frac{\cos(\pi \cdot t/T)}{1 - (2
\cdot t/T)^2}\hspace{0.05cm}.$$
*Daraus folgt, dass beide Ausdrücke tatsächlich gleich sind. Für den Zeitpunkt $t = T/2$ gilt somit weiterhin:
:$$\frac{g( t = T/2)}{g_0}  = {\rm si}(  \frac{\pi}{2}) \cdot \frac
{\pi}{4} \cdot \left [ {\rm si}(\pi ) + {\rm si}(0)\right]= \frac
{2}{\pi}\cdot \frac {\pi}{4} = 0.5 \hspace{0.05cm}.$$
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[[Category:Aufgaben zu Digitalsignalübertragung|^1.3 Eigenschaften von Nyquistsystemen^]]
[[Category:Digital Signal Transmission: Exercises|^1.3 Nyquist System Properties^]]
[[de:Aufgaben:Aufgabe 1.5: Cosinus-Quadrat-Spektrum]]

Latest revision as of 17:56, 16 March 2026


Cosine-square Nyquist spectrum

The spectrum  $G(f)$  with  $\cos^{2}$–shaped course is considered according to the sketch.  This satisfies the first Nyquist criterion:

$$\sum_{k = -\infty}^{+\infty} G(f -{k}/{T} ) = {\rm const.}$$

Accordingly,  the associated pulse  $g(t)$  has zero crossings at multiples of  $T$,  where  $T$  remains to be determined.  The inverse Fourier transform of  $G(f)$  yields the equation for the time course:

$$g( t )= g_0 \cdot \frac{\cos(\pi \cdot t/T)}{1 - (2 \cdott/T)^2}\cdot {\rm sinc}( {t}/{T})\hspace{0.5cm} \text{with}\hspace{0.5cm} {\rm sinc}(x)=\sin(\pi x)/(\pi x)\hspace{0.05cm}.$$

The questions for this exercise refer to the following properties:

  • The spectral function  $G(f)$  is a special case of the cosine rolloff spectrum,  which is point symmetric about the Nyquist frequency  $f_{\rm Nyq}$. 
  • The cosine rolloff spectrum is completely characterized by the corner frequencies  $f_{1}$  and  $f_{2}$. 
  • For  $| f | < f_{1}$,   $G(f) = g_{0} \cdot T = \rm const.$,  while the spectrum for  $| f | > f_{2}$  has no components. 
  • The relation between the Nyquist frequency and the corner frequencies is:
$$f_{\rm Nyq}= \frac{f_1 +f_2 }{2 }\hspace{0.05cm}.$$
  • The edge steepness is characterized by the so-called rolloff factor:
$$r = \frac{f_2 -f_1 }{f_2 +f_1 }\hspace{0.2cm}(0 \le r \le 1) \hspace{0.05cm}.$$


Note:  The exercise belongs to the chapter  "Properties of Nyquist Systems".


Questions

1 What are the corner frequencies of this cosine rolloff spectrum?

$f_{1} \ = \ $ $\ \rm MHz$
$f_{2} \ = \ $ $\ \rm MHz$

2 What are the Nyquist frequency and the rolloff factor?

$f_{\rm Nyq} \ = \ $ $\ \rm MHz$
$r \ = \ $

3 At what time interval  $T$  does  $g(t)$  have zero crossings?

$T \ = \ $ $\ \rm µ s$

4 Which of the following statements is true?

$g(t)$  satisfies the first Nyquist criterion because of the  $\rm sinc$–term.
$g(t)$  has further zero crossings at  $\pm 0.5T,  \pm 1.5T,  \pm 2.5 T, \text{...}$
The  $\cos^{2}$–spectrum also satisfies the second Nyquist criterion.

5 What is the  (normalized)  value of the pulse at time  $t = T/2$?

$g(t = T/2)/g_{0} \ = \ $


Solution

(1)  The upper corner frequency can be read from the diagram:   $f_{2} \underline{= 2 \ \rm MHz}$.  Since the spectrum is not constant in any range, $f_{1} \underline {= 0}$.


(2)  From the given equations we obtain:

$$f_{\rm Nyq} = \ \frac{f_1 +f_2 }{2 }\hspace{0.1cm}\underline { = 1\,{\rm MHz}}\hspace{0.05cm},\hspace{0.5cm} r = \ \frac{f_2 -f_1 } {f_2 +f_1 }\hspace{0.1cm}\underline { = 1 }\hspace{0.05cm}.$$


(3)  The spacing of equidistant zero crossings is directly related to the Nyquist frequency:

$$f_{\rm Nyq}= \frac{1}{2T} \hspace{0.3cm} \Rightarrow \hspace{0.3cm} T= \frac{1}{2f_{\rm Nyq}}\hspace{0.1cm}\underline { = 0.5\,{\rm µ s}}\hspace{0.05cm}.$$


(4)  Statements 1 and 3  are correct:

  • The first statement is correct:   The function  ${\rm sinc}(t/T)$  leads to zero crossings at  $\nu T (\nu \neq 0)$.
  • The last statement is also true:  Because of  $g(t) = 0$  for  $t =\pm 1.5T, \pm 2.5T, \pm 3.5T, ...$  the second Nyquist criterion is also fulfilled.
  • On the other hand,  the middle statement is false,  since $g(t = T/2) \neq 0$.
  • The condition for the second Nyquist criterion is in the frequency domain:
$$G_{\rm Per}(f) = \sum_{k = -\infty}^{+\infty} \frac {G \left ( f -{k}/{T} \right)}{\cos(\pi \cdot f \cdot T - k \cdot \pi)}={\rm const.}$$
  • The condition is indeed fulfilled for the  cos$^{2}$–spectrum,  as can be shown after a longer calculation.
  • We restrict ourselves here to the frequency range  $| f · T | \leq 1$  and set  $g_{0} \cdot T = 1$  for simplicity:
$$G_{\rm Per}(f) = \frac {\cos^2 \left [\pi/2 \cdot ( f_{\rm Nyq}- f) \cdot T \right ]}{\cos \left [\pi \cdot ( f_{\rm Nyq} - f)\cdot T \right ]}+\frac {\cos^2 \left [\pi/2 \cdot ( f_{\rm Nyq}+ f) \cdot T \right ]}{\cos \left [\pi \cdot ( f_{\rm Nyq} + f)\cdot T \right ]}\hspace{0.05cm}.$$
  • Further holds:
$$\frac {\cos^2 (x)}{\cos(2x)} = {1}/{2} \cdot \frac{1+\cos(2x)}{\cos(2x)}= {1}/{2} \cdot \left [1+ \frac{1}{\cos(2x)}\right ]$$
$$\Rightarrow \hspace{0.3cm} G_{\rm Per}(f) = {1}/{2}\cdot \left [1+ \frac {1}{\cos \left [\pi \cdot ( f_{\rm Nyq}- f) \cdot T \right ]} +1- \frac {1}{\cos \left [\pi \cdot ( f_{\rm Nyq}+ f) \cdot T \right ]}\right ]\hspace{0.05cm}.$$
  • Because of  $\cos \left [ \pi \cdot ( f_{\rm Nyq} \pm f) \cdot T \right] = \cos

\left ( {\pi}/{2} \pm \pi f T \right) = \sin \left ( \pm \pi f T \right)\text{:}$

$$\Rightarrow \hspace{0.3cm} G_{\rm Per}(f) = 2 - \frac {1}{\sin(\pi f T)} + \frac {1}{\sin (\pi f T)} = 2 = {\rm const}\hspace{0.05cm}.$$


(5)  For  $t = T/2$,  the given equation yields an indeterminate value  ("0 divided by 0"),  which can be determined using l'Hospital's rule.

  • To do this,  form the derivatives of the numerator and denominator and insert the desired time  $t = T/2$  into the result:
$$\frac{g( t = T/2)}{g_0} = \ {{\rm sinc}( \frac{t}{T})\cdot \frac{{\rm d}/{\rm d}t \left [ \cos(\pi \cdott/T)\right]}{{\rm d}/{\rm d}t\left [ 1 - (2 \cdot t/T)^2\right]}}\bigg |_{t = T/2} = \ {{\rm sinc}( \frac{t}{T}) \cdot \frac{- \pi/T \cdot\sin(\pi \cdot t/T)}{-2 \cdot (2\cdot t/T) \cdot (2/T)}} \bigg |_{t = T/2} = \frac {2}{\pi}\cdot\frac {\pi}{4}\hspace{0.1cm}\underline { = 0.5}\hspace{0.05cm}.$$
  • A second solution method leads to the expression:
$$\frac{g( t )}{g_0} = {\rm sinc}( \frac{t}{T}) \cdot\frac {\pi}{4} \cdot \big [ {\rm sinc}( t/T + 1/2) +{\rm sinc}(t/T - 1/2)\big] \hspace{0.05cm}.$$
  • The second bracket expression can be transformed as follows:
$$\frac {\pi}{4} \cdot \bigg [ \hspace{0.1cm}... \hspace{0.1cm}\bigg ] = \ \frac {\pi}{4} \cdot \left [ \frac {{\rm sin}(\pi\cdot t/T + \pi/2)}{\pi \cdot t/T + \pi/2} + \frac {{\rm sin}(\pi\cdot t/T - \pi/2)}{\pi \cdot t/T - \pi/2}\right] = \ \frac {1}{2} \cdot {\rm cos}(\pi\cdot t/T )\cdot \left [ \frac {1}{2 \cdot t/T + 1} - \frac {1}{ 2\cdot t/T - 1}\right] $$
$$\Rightarrow \hspace{0.3cm} \frac {\pi}{4} \cdot \bigg [ \hspace{0.1cm}... \hspace{0.1cm}\bigg ] = \ \frac {1}{2} \cdot {\rm cos}(\pi\cdot t/T )\cdot \frac{1- 2 \cdot t/T + 1+ 2 \cdot t/T}{(1+ 2\cdot t/T)(1- 2 \cdot t/T)}= \frac{\cos(\pi \cdot t/T)}{1 - (2\cdot t/T)^2}\hspace{0.05cm}.$$
  • It follows that both expressions are actually equal.  Thus,  for time  $t = T/2$,  the following is still true:
$$\frac{g( t = T/2)}{g_0} = {\rm sinc}( 0.5) \cdot \frac{\pi}{4} \cdot \big [ {\rm sinc}(1 ) + {\rm sinc}(0)\big]= \frac{2}{\pi}\cdot \frac {\pi}{4} = 0.5 \hspace{0.05cm}.$$