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Difference between revisions of "Aufgaben:Exercise 4.1: About the Gram-Schmidt Process"

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{{quiz-Header|Buchseite=Digitalsignalübertragung/Signale, Basisfunktionen und Vektorräume}}
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{{quiz-Header|Buchseite=Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces}}
  
[[File:P_ID1994__Dig_A_4_1.png|right|frame|Zum Gram-Schmidt-Verfahren]]
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[[File:P_ID1994__Dig_A_4_1.png|right|frame|Specification for the Gram-Schmidt process]]
Für die vier durch die Abbildung definierten Signale $s_1(t), \, ... \, , \ s_4(t)$ sind durch Anwendung des sog. Gram–Schmidt–Verfahrens die drei sich ergebenden Basisfunktionen φ1(t), φ2(t) und φ3(t) zu ermitteln, so dass für die Signale mit $i = 1, \, ... \, , \ 4$ geschrieben werden kann:
+
For the four signals  $s_1(t), \, \text{...} \, , s_4(t)$  defined by the figure,  the three resulting basis functions  φ1(t),  φ2(t)  and  φ3(t)  are to be determined by applying the Gram-Schmidt process,  so that for the signals with   $i = 1, \, \text{...} \, , 4$  can be written:
 
:si(t)=si1φ1(t)+si2φ2(t)+si3φ3(t).
 
:si(t)=si1φ1(t)+si2φ2(t)+si3φ3(t).
  
In der Teilaufgabe (1) gelte A2=1 mW und $T = 1 \ \rm \mu s$. In den späteren Teilaufgaben sind die Amplitude und die Zeit jeweils normierte Größen:A=1, T=1. Damit sind sowohl die Koeffizienten sij als auch die Basisfunktionen φ(t) – jeweils mit j=1,2,3 – dimensionslose Größen.
+
*In subtask  '''(1)''',  let  A2=1 mW  and  $T = 1 \ \rm µ s$.
 +
 +
*In the later subtasks,  the amplitude and the time are normalized quantities:   A=1,  T=1.
 +
 +
*Thus,  both the coefficients  sij  and the basis functions  $\varphi_{\it j}(t)$  (with  $j = 1,\ 2,\ 3)$  are dimensionless quantities.
  
''Hinweise:''
 
* Die Aufgabe bezieht sich inhaltlich auf das Kapitel [[Digitalsignal%C3%BCbertragung/Signale,_Basisfunktionen_und_Vektorr%C3%A4ume| Signale, Basisfunktionen und Vektorräume]].
 
* Auf der Seite 3a des Kapitels ist das [[Digitalsignal%C3%BCbertragung/Signale,_Basisfunktionen_und_Vektorr%C3%A4ume#Das_Verfahren_nach_Gram-Schmidt|Gram–Schmidt–Verfahren]] angegeben, auf der Seite 3b finden Sie ein [https://intern.lntwww.de/cgi-bin/extern/uni.pl?uno=hyperlink&due=block&b_id=2735&hyperlink_typ=block_verweis&hyperlink_fenstergroesse=blockverweis_gross| Berechnungsbeispiel] ähnlich zu dieser Aufgabe.
 
  
  
===Fragebogen===
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 +
Notes:
 +
*The exercise belongs to the chapter   [[Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces|"Signals, Basis Functions and Vector Spaces"]].
 +
 
 +
*Reference is made in particular to the sections  [[Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces#Orthonormal_basis_functions|"Orthonormal basis functions"]]  and  [[Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces#The_Gram-Schmidt_process|"Gram-Schmidt process"]].
 +
 +
 
 +
 
 +
===Questions===
  
 
<quiz display=simple>
 
<quiz display=simple>
{Multiple-Choice Frage
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{What are the units of the following quantities with&nbsp; A2=1mW&nbsp; and&nbsp; T = 1 \, {\rm &micro; s}?
 
|type="[]"}
 
|type="[]"}
- Falsch
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- The basis functions &nbsp;φj(t)&nbsp; are dimensionless.
+ Richtig
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+ The basis functions &nbsp;φj(t)&nbsp; have the unit &nbsp;s.
 +
- The coefficients &nbsp;sij&nbsp; are dimensionless.
 +
+ The coefficients &nbsp;sij&nbsp; have the unit &nbsp;Ws.
 +
 
 +
{Perform the first step of the Gram-Schmidt process.&nbsp; As for the other tasks,&nbsp; let &nbsp;A=1&nbsp; and &nbsp;T=1 hold.
 +
|type="{}"}
 +
s11 =  { 1.414 3% }
 +
s12 =  { 0. }
 +
s13 =  { 0. }
 +
 
 +
{What are the coefficients of the signal&nbsp; s2(t)&nbsp; with &nbsp;A=1 &nbsp;and&nbsp; T=1?
 +
|type="{}"}
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s21 =  { 0.707 3% }
 +
s22 =  { 0.707 3% }
 +
s23 =  { 0. }
 +
 
 +
{What are the coefficients of the signal&nbsp; s3(t)&nbsp; with &nbsp;A=1 &nbsp;and&nbsp; T=1?
 +
|type="{}"}
 +
s31 =  { -0.72821--0.68579 }
 +
s32 =  { 0.707 3% }
 +
s33 =  { 0. }
  
{Input-Box Frage
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{What are the coefficients of the signal&nbsp; s4(t)&nbsp; with &nbsp;A=1 &nbsp;and&nbsp; T=1?
 
|type="{}"}
 
|type="{}"}
$\alpha$ = { 0.3 }
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$s_{\rm 41} \ = \ $ { 0. }
 +
$s_{\rm 42} \ = \ $ { 0. }
 +
s43 =  { 1 3% }
 
</quiz>
 
</quiz>
  
===Musterlösung===
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===Solution===
 
{{ML-Kopf}}
 
{{ML-Kopf}}
'''(1)'''&nbsp;  
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'''(1)'''&nbsp; <u>Solutions 2 and 4</u>&nbsp; are correct:
'''(2)'''&nbsp;  
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*Every orthonormal basis function should have energy&nbsp; 1,&nbsp; that is,&nbsp; it must hold:
'''(3)'''&nbsp;  
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:$$||\varphi_j(t)||^2 =  \int_{-\infty}^{+\infty}\varphi_j(t)^2\,{\rm d}  t = 1
'''(4)'''&nbsp;  
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\hspace{0.05cm}.$$
'''(5)'''&nbsp;  
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*For this condition to be satisfied,&nbsp; the basis function must have unit&nbsp; s.&nbsp;
'''(6)'''&nbsp;  
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*Another equation to be considered is
 +
:si(t)=Nj=1sijφj(t).
 +
*Like the parameter&nbsp; A,&nbsp; the signals themselves have the unit&nbsp; W.&nbsp;
 +
*Because of the unit&nbsp; 1/s&nbsp; of&nbsp; φj(t),&nbsp; this equation can be satisfied with the correct dimension only if the coefficients&nbsp; sij&nbsp; are given with the unit&nbsp; Ws.
 +
 
 +
 
 +
 
 +
'''(2)'''&nbsp; The energy of the signal&nbsp; s1(t) &nbsp;is equal to&nbsp; E1=2.&nbsp;
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*It follows for the norm,&nbsp; the basis function&nbsp; φ1(t)&nbsp; and the coefficient&nbsp; s11:
 +
:$$||s_1(t)|| =  \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm}
 +
s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} }
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\hspace{0.05cm}.$$
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*The other coefficients are&nbsp; s12=s13=0_,&nbsp; since the associated basis functions have not been found at all yet,&nbsp; while&nbsp; φ1(t)&nbsp; is equal in form to&nbsp; s1(t).
 +
 
 +
 
 +
 
 +
'''(3)'''&nbsp; Since at most two basis functions are found after considering s2(t) &nbsp; &rArr; &nbsp; s23=0_ holds with certainty.&nbsp; On the other hand one obtains
 +
*for the coefficient
 +
:$$||s_1(t)|| =  \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm}
 +
s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} }
 +
\hspace{0.05cm};$$
 +
 
 +
*for the auxiliary function θ2(t):
 +
:$$\theta_2(t) = s_2(t) - s_{21} \cdot \varphi_1(t) = \left\{ \begin{array}{c} 1 - 0.707 \cdot 0.707 = 0.5\\
 +
0 - 0.707 \cdot (-0.707) = 0.5  \end{array} \right.\quad
 +
\begin{array}{*{1}c} 0 \le t < 1
 +
\\  1 \le t < 2 \\ \end{array}
 +
\hspace{0.05cm}; $$
 +
 
 +
*for the second basis function:
 +
:$$\varphi_2(t) = \frac{\theta_2(t)}{||\theta_2(t)||},\hspace{0.2cm}
 +
||\theta_2(t)|| = \sqrt{0.5^2 + 0.5^2} = \sqrt{0.5} \approx 0.707$$
 +
:$$\Rightarrow \hspace{0.3cm} \varphi_2(t) = \left\{ \begin{array}{c} 0.5/0.707 = 0.707\\
 +
0  \end{array} \right.\quad
 +
\begin{array}{*{1}c} 0 \le t < 2
 +
\\  2 \le t < 3 \\ \end{array}
 +
\hspace{0.05cm}; $$
 +
 
 +
*and finally for the second coefficient
 +
:$$s_{22}  = \hspace{0.1cm} < \hspace{-0.1cm} s_2(t), \hspace{0.1cm}\varphi_2(t) \hspace{-0.1cm} > \hspace{0.1cm} = 1 \cdot 0.707 + 0 \cdot 0.707 \hspace{0.1cm}\hspace{0.15cm}\underline {  = 0.707}
 +
\hspace{0.05cm}.$$
 +
[[File:P_ID1995__Dig_A_4_1c.png|right|frame|Gram-Schmidt calculations]]
 +
 
 +
The calculations are illustrated in the graph below.
 +
 
 +
 
 +
'''(4)'''&nbsp; It can be seen immediately that&nbsp; s3(t)&nbsp; can be expressed as a linear combination of&nbsp; s1(t)&nbsp; and&nbsp; s2(t).
 +
:s3(t)=s1(t)+s2(t),
 +
:s31 = s11+s21=1.414+0.707=0.707_,
 +
:s32 = s12+s22=0+0.707=0.707_,
 +
:s33 = s13+s23=0+0=0_.
 +
 
 +
 
 +
'''(5)'''&nbsp; The range&nbsp; 2 &#8804; t &#8804; 3&nbsp; is not covered by&nbsp; φ1(t)&nbsp; and&nbsp; φ2(t).
 +
*Therefore,&nbsp; s4(t)&nbsp; provides the new basis function&nbsp; φ3(t).&nbsp;  
 +
*Since s4(t)&nbsp; has components only in the range&nbsp; 2 &#8804; t &#8804; 3 and ||s4(t)||=1,&nbsp; we obtain&nbsp; $\varphi_3(t) = s_4(t)$&nbsp; as well as
 +
:s41=0_,s42=0_,s43=1_.
 
{{ML-Fuß}}
 
{{ML-Fuß}}
  
  
  
[[Category:Aufgaben zu Digitalsignalübertragung|^4.1 Signale, Basisfunktionen, Vektorräume^]]
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[[Category:Digital Signal Transmission: Exercises|^4.1 Basis Functions & Vector Spaces^]]

Latest revision as of 14:56, 13 July 2022

Specification for the Gram-Schmidt process

For the four signals  s1(t),...,s4(t)  defined by the figure,  the three resulting basis functions  φ1(t)φ2(t)  and  φ3(t)  are to be determined by applying the Gram-Schmidt process,  so that for the signals with   i=1,...,4  can be written:

si(t)=si1φ1(t)+si2φ2(t)+si3φ3(t).
  • In subtask  (1),  let  A2=1 mW  and  T = 1 \ \rm µ s.
  • In the later subtasks,  the amplitude and the time are normalized quantities:   A = 1T = 1.
  • Thus,  both the coefficients  s_{\it ij}  and the basis functions  \varphi_{\it j}(t)  (with  j = 1,\ 2,\ 3)  are dimensionless quantities.



Notes:


Questions

1

What are the units of the following quantities with  A^2 = 1 \, \rm mW  and  T = 1 \, {\rm µ s}?

The basis functions  \varphi_j(t)  are dimensionless.
The basis functions  \varphi_j(t)  have the unit  \rm \sqrt{\rm s}.
The coefficients  s_{\it ij}  are dimensionless.
The coefficients  s_{\it ij}  have the unit  \rm \sqrt{\rm Ws}.

2

Perform the first step of the Gram-Schmidt process.  As for the other tasks,  let  A = 1  and  T = 1 hold.

s_{\rm 11} \ = \

s_{\rm 12} \ = \

s_{\rm 13} \ = \

3

What are the coefficients of the signal  s_2(t)  with  A = 1  and  T = 1?

s_{\rm 21} \ = \

s_{\rm 22} \ = \

s_{\rm 23} \ = \

4

What are the coefficients of the signal  s_3(t)  with  A = 1  and  T = 1?

s_{\rm 31} \ = \

s_{\rm 32} \ = \

s_{\rm 33} \ = \

5

What are the coefficients of the signal  s_4(t)  with  A = 1  and  T = 1?

s_{\rm 41} \ = \

s_{\rm 42} \ = \

s_{\rm 43} \ = \


Solution

(1)  Solutions 2 and 4  are correct:

  • Every orthonormal basis function should have energy  1,  that is,  it must hold:
||\varphi_j(t)||^2 = \int_{-\infty}^{+\infty}\varphi_j(t)^2\,{\rm d} t = 1 \hspace{0.05cm}.
  • For this condition to be satisfied,  the basis function must have unit  \rm \sqrt{\rm s}
  • Another equation to be considered is
s_i(t) = \sum\limits_{j = 1}^{N}s_{ij} \cdot \varphi_j(t).
  • Like the parameter  A,  the signals themselves have the unit  \rm \sqrt{\rm W}
  • Because of the unit  \rm \sqrt{\rm 1/s}  of  \varphi_{ j}(t),  this equation can be satisfied with the correct dimension only if the coefficients  s_{\it ij}  are given with the unit  \rm \sqrt{\rm Ws}.


(2)  The energy of the signal  s_1(t)  is equal to  E_1 = 2

  • It follows for the norm,  the basis function  \varphi_1(t)  and the coefficient  s_{\rm 11}:
||s_1(t)|| = \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm} s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} } \hspace{0.05cm}.
  • The other coefficients are  \underline {s_{\rm 12} = s_{\rm 13} = 0},  since the associated basis functions have not been found at all yet,  while  \varphi_1(t)  is equal in form to  s_1(t).


(3)  Since at most two basis functions are found after considering s_2(t)   ⇒   s_{\rm 23} \hspace{0.15cm} \underline{= 0} holds with certainty.  On the other hand one obtains

  • for the coefficient
||s_1(t)|| = \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm} s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} } \hspace{0.05cm};
  • for the auxiliary function \theta_2(t):
\theta_2(t) = s_2(t) - s_{21} \cdot \varphi_1(t) = \left\{ \begin{array}{c} 1 - 0.707 \cdot 0.707 = 0.5\\ 0 - 0.707 \cdot (-0.707) = 0.5 \end{array} \right.\quad \begin{array}{*{1}c} 0 \le t < 1 \\ 1 \le t < 2 \\ \end{array} \hspace{0.05cm};
  • for the second basis function:
\varphi_2(t) = \frac{\theta_2(t)}{||\theta_2(t)||},\hspace{0.2cm} ||\theta_2(t)|| = \sqrt{0.5^2 + 0.5^2} = \sqrt{0.5} \approx 0.707
\Rightarrow \hspace{0.3cm} \varphi_2(t) = \left\{ \begin{array}{c} 0.5/0.707 = 0.707\\ 0 \end{array} \right.\quad \begin{array}{*{1}c} 0 \le t < 2 \\ 2 \le t < 3 \\ \end{array} \hspace{0.05cm};
  • and finally for the second coefficient
s_{22} = \hspace{0.1cm} < \hspace{-0.1cm} s_2(t), \hspace{0.1cm}\varphi_2(t) \hspace{-0.1cm} > \hspace{0.1cm} = 1 \cdot 0.707 + 0 \cdot 0.707 \hspace{0.1cm}\hspace{0.15cm}\underline { = 0.707} \hspace{0.05cm}.
Gram-Schmidt calculations

The calculations are illustrated in the graph below.


(4)  It can be seen immediately that  s_3(t)  can be expressed as a linear combination of  s_1(t)  and  s_2(t).

s_{3}(t) = -s_{1}(t) + s_{2}(t),
s_{31} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} - s_{11} + s_{21} = -1.414 + 0.707 = \hspace{0.1cm}\hspace{0.15cm}\underline {-0.707}\hspace{0.05cm},
s_{32} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} - s_{12} + s_{22} = 0 + 0.707 \hspace{0.1cm}\underline {= 0.707}\hspace{0.05cm},
s_{33} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} - s_{13} + s_{23} = 0 + 0 \hspace{0.1cm}\underline {= 0}\hspace{0.05cm}.


(5)  The range  2 ≤ t ≤ 3  is not covered by  \varphi_1(t)  and  \varphi_2(t).

  • Therefore,  s_4(t)  provides the new basis function  \varphi_3(t)
  • Since s_4(t)  has components only in the range  2 ≤ t ≤ 3 and ||s_4(t)|| = 1,  we obtain  \varphi_3(t) = s_4(t)  as well as
s_{41} \hspace{0.1cm}\hspace{0.15cm}\underline {= 0}, \hspace{0.2cm}s_{42} \hspace{0.1cm}\hspace{0.15cm}\underline {= 0}, \hspace{0.2cm}s_{43} \hspace{0.1cm}\hspace{0.15cm}\underline { = 1} \hspace{0.05cm}.