Difference between revisions of "Aufgaben:Exercise 1.2: Signal Classification"

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{{quiz-Header|Buchseite=Signal_Representation/Signal_classification}}
 
{{quiz-Header|Buchseite=Signal_Representation/Signal_classification}}
  
[[File:P_ID341_Sig_A_1_2.png|right|frame|predetermined characteristics]]
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[[File:P_ID341_Sig_A_1_2.png|right|frame|Preset signal waveforms]]
Three signal curves are shown on the Right:
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Three signal curves are shown on the right:
*The blue signal&nbsp; <math>x_1(t)</math>&nbsp; is switched on at time&nbsp; $t = 0$&nbsp; and has at &nbsp; $t > 0$&nbsp;  the value&nbsp; $1\,\text{V}$.
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*The blue signal&nbsp; <math>x_1(t)</math>&nbsp; is switched on at time&nbsp; $t = 0$&nbsp; and has the value&nbsp; $1\,\text{V}\,$ for&nbsp; $t > 0$&nbsp;.
*The blue signal&nbsp; <math>x_2(t)</math>&nbsp; is for&nbsp; $t < 0$&nbsp; equals zero, jumps at&nbsp; $t = 0$&nbsp; to&nbsp; $1\,\text{V}$&nbsp; and then falls down with the time constant&nbsp; $1\,\text{ms}$&nbsp;. For&nbsp; $t > 0$&nbsp; the following applies:
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*The red signal&nbsp; <math>x_2(t)\equiv 0</math>&nbsp; for&nbsp; $t < 0$&nbsp; and jumps to&nbsp; $1\,\text{V}$&nbsp; at&nbsp; $t = 0$&nbsp;.&nbsp; It then decreases with the time constant&nbsp; $1\,\text{ms}$&nbsp;.&nbsp; <br>For&nbsp; $t > 0$&nbsp; the following applies:
  
 
::<math>x_2(t) = 1\,\text{V} \cdot {\rm e}^{- {t}/(1\,\text{ms})}.</math>
 
::<math>x_2(t) = 1\,\text{V} \cdot {\rm e}^{- {t}/(1\,\text{ms})}.</math>
  
*Correspondingly, the signal shown in green applies to all times&nbsp; $t$:
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*Correspondingly, the following applies to the green signal&nbsp; <math>x_3(t)</math>&nbsp; for all&nbsp; $t$:
  
 
::<math>x_3(t) = 1\,\text{V} \cdot {\rm e}^{- {|\hspace{0.05cm}t\hspace{0.05cm}|}/(1\,\text{ms})}.</math>
 
::<math>x_3(t) = 1\,\text{V} \cdot {\rm e}^{- {|\hspace{0.05cm}t\hspace{0.05cm}|}/(1\,\text{ms})}.</math>
  
You will now classify these three signals according to the following criteria:
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You should now classify these three signals according to the following criteria:
 
*deterministic or stochastic,
 
*deterministic or stochastic,
*causal or acausal,
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*causal or non&ndash;causal,
*energy limited or power limited,
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*energy-limited or power-limited,
*value-continuous or value-discrete,
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*continuous-valued or discrete-valued,
*time-continuous or time-discrete.
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*continuous in time or discrete in time.
  
  
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''Notes:''  
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''Note:''  
* This exercise belongs to the chapter &nbsp; [[Signal_Representation/Signal_classification|Klassifizierung von Signalen]].
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* This exercise belongs to the chapter&nbsp;[[Signal_Representation/Signal_classification|Signal Classification]].
 
   
 
   
  
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- All signals considered here are of stochastic nature.
 
- All signals considered here are of stochastic nature.
 
+ The signals are always continuous in time.
 
+ The signals are always continuous in time.
- They are always signals of continuous value.
+
- The signals are always continuous in value.
  
 
{Which signals are causal according to the definition in the theory part?
 
{Which signals are causal according to the definition in the theory part?
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- <math>x_3(t)</math>.
 
- <math>x_3(t)</math>.
  
{Calculate the energy&nbsp; $R = 1\ Ω$&nbsp; related to the unit resistance&nbsp; <math>E_2</math>&nbsp; of the signal&nbsp; <math>x_2(t)</math>. <br>What is the power&nbsp; <math>P_2</math>&nbsp; of this signal?
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{Calculate the energy&nbsp; $E_2$&nbsp; of the signal&nbsp; <math>x_2(t)</math> related to the unit resistance&nbsp; $R = 1\ Ω$. <br>What is the power&nbsp; <math>P_2</math>&nbsp; of this signal?
 
|type="{}"}
 
|type="{}"}
 
<math>E_2 \ = \ </math>{ 0.5 5% }  $\ \cdot 10^{-3}\,\text{V}^2\text{s}$
 
<math>E_2 \ = \ </math>{ 0.5 5% }  $\ \cdot 10^{-3}\,\text{V}^2\text{s}$
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{{ML-Kopf}}
 
{{ML-Kopf}}
 
'''(1)'''&nbsp;  The <u>solutions 1 and 3</u> are applicable:
 
'''(1)'''&nbsp;  The <u>solutions 1 and 3</u> are applicable:
*All signals can be described completely in analytical form; therefore they are also deterministic.  
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*All signals can be described completely in analytical form;&nbsp; therefore they are deterministic.  
*All signals are also clearly defined for all times&nbsp; $t$&nbsp; not only at certain times. Therefore, they are always time-continuous signals.
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*All signals are also clearly defined for all times&nbsp; $t$&nbsp; not only at certain times.&nbsp; Therefore, they are always continuous-time signals.
*The signal amplitudes of&nbsp; <math>x_2(t)</math>&nbsp; and&nbsp; <math>x_3(t)</math>&nbsp; can take any values between&nbsp; $0$&nbsp; and&nbsp; $1\,\text{V}$&nbsp; they are therefore continuous in value.  
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*The signal amplitudes of&nbsp; <math>x_2(t)</math>&nbsp; and&nbsp; <math>x_3(t)</math>&nbsp; can take any values between&nbsp; $0$&nbsp; and&nbsp; $1\,\text{V}$&nbsp: they are <b>continuous in value</b>.  
*On the other hand, with the signal&nbsp; <math>x_1(t)</math>&nbsp; only the two signal values&nbsp; $0$&nbsp; and&nbsp; $1\,\text{V}$&nbsp; are possible; a discrete-valued signal is present.  
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*On the other hand, with the signal&nbsp; <math>x_1(t)</math>&nbsp; only the two signal values&nbsp; $0$&nbsp; and&nbsp; $1\,\text{V}$&nbsp; are possible; this signal is <b>discrete in value</b>.  
  
  
  
 
'''(2)'''&nbsp;  Correct are the <u>solutions 1 and 2</u>:
 
'''(2)'''&nbsp;  Correct are the <u>solutions 1 and 2</u>:
*A signal is called causal if for times&nbsp; $t < 0$&nbsp; it does not exist or is identically zero. This applies to the signals&nbsp; <math>x_1(t)</math>&nbsp; and&nbsp; <math>x_2(t)</math>.  
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*A signal is called causal if for times&nbsp; $t < 0$&nbsp; it does not exist or it is identically zero.&nbsp; This applies to the signals&nbsp; <math>x_1(t)</math>&nbsp; and&nbsp; <math>x_2(t)</math>.  
 
*In contrast,&nbsp; <math>x_3(t)</math>&nbsp; belongs to the class of non-causal signals.
 
*In contrast,&nbsp; <math>x_3(t)</math>&nbsp; belongs to the class of non-causal signals.
  
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::<math>E_2=\lim_{T_{\rm M}\to\infty}\int^{T_{\rm M}/2}_{-T_{\rm M}/2}x^2_2(t)\,\hspace{0.1cm}{\rm d}t.</math>
 
::<math>E_2=\lim_{T_{\rm M}\to\infty}\int^{T_{\rm M}/2}_{-T_{\rm M}/2}x^2_2(t)\,\hspace{0.1cm}{\rm d}t.</math>
  
In this case, the lower integration limit is zero and the upper integration limit&nbsp; $+\infty$. You get:
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In this case, the lower integration limit is zero and the upper integration limit&nbsp; $+\infty$.&nbsp; You get:
 
   
 
   
 
::<math>E_2=\int^\infty_0 (1{\rm V})^2\cdot{\rm e}^{-2t/(1\rm ms)}\,\hspace{0.1cm}{\rm d}t = 5 \cdot 10^{-4}\hspace{0.1cm} \rm V^2s  \hspace{0.15cm}\underline{= 0.5 \cdot 10^{-3}\hspace{0.1cm} \rm V^2s}.  </math>  
 
::<math>E_2=\int^\infty_0 (1{\rm V})^2\cdot{\rm e}^{-2t/(1\rm ms)}\,\hspace{0.1cm}{\rm d}t = 5 \cdot 10^{-4}\hspace{0.1cm} \rm V^2s  \hspace{0.15cm}\underline{= 0.5 \cdot 10^{-3}\hspace{0.1cm} \rm V^2s}.  </math>  
  
With finite energy, the associated power is always negligible. From this follows&nbsp; $P_2\hspace{0.15cm}\underline{ = 0}$.
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With finite energy, the associated power is always negligible.&nbsp; From this follows&nbsp; $P_2\hspace{0.15cm}\underline{ = 0}$.
  
  
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:$$E_3= 10^{-3}\hspace{0.1cm} {\rm V^2s}.$$  
 
:$$E_3= 10^{-3}\hspace{0.1cm} {\rm V^2s}.$$  
  
*At signal&nbsp; <math>x_1(t)</math>&nbsp; the energy integral diverges:&nbsp; $E_1 \rightarrow \infty$. This signal has a finite power &nbsp; &rArr; &nbsp; $P_1= 0.5 \hspace{0.1cm} {\rm V}^2$.
+
*At signal&nbsp; <math>x_1(t)</math>&nbsp; the energy integral diverges:&nbsp; $E_1 \rightarrow \infty$.&nbsp; This signal has a finite power &nbsp; &rArr; &nbsp; $P_1= 0.5 \hspace{0.1cm} {\rm V}^2$.
 
*The result also takes into account that the signal&nbsp; <math>x_1(t)</math>&nbsp; in half the time&nbsp; $(t < 0)$&nbsp; is identical to zero.
 
*The result also takes into account that the signal&nbsp; <math>x_1(t)</math>&nbsp; in half the time&nbsp; $(t < 0)$&nbsp; is identical to zero.
* The signal&nbsp; <math>x_1(t)</math>&nbsp; is accordingly&nbsp; <u>power limited</u>.  
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* The signal&nbsp; <math>x_1(t)</math>&nbsp; therefore is&nbsp; <u>power&ndash;limited</u>.  
  
 
{{ML-Fuß}}
 
{{ML-Fuß}}
  
 
__NOEDITSECTION__
 
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[[Category:Exercises for Signal Representation|^1.2 Signal Classification^]]
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[[Category:Signal Representation: Exercises|^1.2 Signal Classification^]]

Latest revision as of 09:59, 11 October 2021

Preset signal waveforms

Three signal curves are shown on the right:

  • The blue signal  \(x_1(t)\)  is switched on at time  $t = 0$  and has the value  $1\,\text{V}\,$ for  $t > 0$ .
  • The red signal  \(x_2(t)\equiv 0\)  for  $t < 0$  and jumps to  $1\,\text{V}$  at  $t = 0$ .  It then decreases with the time constant  $1\,\text{ms}$ . 
    For  $t > 0$  the following applies:
\[x_2(t) = 1\,\text{V} \cdot {\rm e}^{- {t}/(1\,\text{ms})}.\]
  • Correspondingly, the following applies to the green signal  \(x_3(t)\)  for all  $t$:
\[x_3(t) = 1\,\text{V} \cdot {\rm e}^{- {|\hspace{0.05cm}t\hspace{0.05cm}|}/(1\,\text{ms})}.\]

You should now classify these three signals according to the following criteria:

  • deterministic or stochastic,
  • causal or non–causal,
  • energy-limited or power-limited,
  • continuous-valued or discrete-valued,
  • continuous in time or discrete in time.



Note:


Questions

1

Which of the following statements are true?

All signals considered here are deterministic.
All signals considered here are of stochastic nature.
The signals are always continuous in time.
The signals are always continuous in value.

2

Which signals are causal according to the definition in the theory part?

\(x_1(t)\),
\(x_2(t)\),
\(x_3(t)\).

3

Calculate the energy  $E_2$  of the signal  \(x_2(t)\) related to the unit resistance  $R = 1\ Ω$.
What is the power  \(P_2\)  of this signal?

\(E_2 \ = \ \)

$\ \cdot 10^{-3}\,\text{V}^2\text{s}$
\(P_2 \ = \ \)

$\ \cdot \text{Vs}$

4

Which of the signals have a finite energy?

\(x_1(t)\),
\(x_2(t)\),
\(x_3(t)\).


Solution

(1)  The solutions 1 and 3 are applicable:

  • All signals can be described completely in analytical form;  therefore they are deterministic.
  • All signals are also clearly defined for all times  $t$  not only at certain times.  Therefore, they are always continuous-time signals.
  • The signal amplitudes of  \(x_2(t)\)  and  \(x_3(t)\)  can take any values between  $0$  and  $1\,\text{V}$&nbsp: they are continuous in value.
  • On the other hand, with the signal  \(x_1(t)\)  only the two signal values  $0$  and  $1\,\text{V}$  are possible; this signal is discrete in value.


(2)  Correct are the solutions 1 and 2:

  • A signal is called causal if for times  $t < 0$  it does not exist or it is identically zero.  This applies to the signals  \(x_1(t)\)  and  \(x_2(t)\).
  • In contrast,  \(x_3(t)\)  belongs to the class of non-causal signals.


(3)  According to the general definition:

\[E_2=\lim_{T_{\rm M}\to\infty}\int^{T_{\rm M}/2}_{-T_{\rm M}/2}x^2_2(t)\,\hspace{0.1cm}{\rm d}t.\]

In this case, the lower integration limit is zero and the upper integration limit  $+\infty$.  You get:

\[E_2=\int^\infty_0 (1{\rm V})^2\cdot{\rm e}^{-2t/(1\rm ms)}\,\hspace{0.1cm}{\rm d}t = 5 \cdot 10^{-4}\hspace{0.1cm} \rm V^2s \hspace{0.15cm}\underline{= 0.5 \cdot 10^{-3}\hspace{0.1cm} \rm V^2s}. \]

With finite energy, the associated power is always negligible.  From this follows  $P_2\hspace{0.15cm}\underline{ = 0}$.


(4)  Correct are the solutions 2 and 3:

  • As already calculated in the last subtask,  \(x_2(t)\)  has a finite energy: 
$$E_2= 0.5 \cdot 10^{-3}\hspace{0.1cm} {\rm V^2s}. $$
  • The energy of the signal  \(x_3(t)\)  is twice as large, since now the time domain  $t < 0$  makes the same contribution as the time domain  $t > 0$. So
$$E_3= 10^{-3}\hspace{0.1cm} {\rm V^2s}.$$
  • At signal  \(x_1(t)\)  the energy integral diverges:  $E_1 \rightarrow \infty$.  This signal has a finite power   ⇒   $P_1= 0.5 \hspace{0.1cm} {\rm V}^2$.
  • The result also takes into account that the signal  \(x_1(t)\)  in half the time  $(t < 0)$  is identical to zero.
  • The signal  \(x_1(t)\)  therefore is  power–limited.