Difference between revisions of "Aufgaben:Exercise 4.1Z: Other Basis Functions"

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:$$||s_4(t)|| \hspace{0.1cm}\hspace{0.15cm}\underline { = 1.414 \cdot 10^{-3}\sqrt{\rm Ws}} \hspace{0.05cm}.$$
 
:$$||s_4(t)|| \hspace{0.1cm}\hspace{0.15cm}\underline { = 1.414 \cdot 10^{-3}\sqrt{\rm Ws}} \hspace{0.05cm}.$$
  
 
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''' Basisfunktionssatz'''
 
'''(3)'''&nbsp; The <u>first and last statements are true</u> in contrast to statements 2 and 3:
 
'''(3)'''&nbsp; The <u>first and last statements are true</u> in contrast to statements 2 and 3:
 
* It would be completely illogical if the basis functions found should no longer hold when the signals $s_i(t)$ are sorted differently.
 
* It would be completely illogical if the basis functions found should no longer hold when the signals $s_i(t)$ are sorted differently.
* The Gram&ndash;Schmidt process yields only one possible basis function set $\{\varphi_{\it j}(t)\}$. A different sorting (possibly) yields a different one.
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* The Gram&ndash;Schmidt process yields only one possible set $\{\varphi_{\it j}(t)\}$ of basis functions. A different sorting (possibly) yields a different one.
 
*The number of permutations of &nbsp;$M = 4$&nbsp; signals is &nbsp;$4! = 24$. In any case, there cannot be more basis function sets &nbsp; &rArr; &nbsp; solution 2 is wrong.
 
*The number of permutations of &nbsp;$M = 4$&nbsp; signals is &nbsp;$4! = 24$. In any case, there cannot be more basis function sets &nbsp; &rArr; &nbsp; solution 2 is wrong.
*However, there are probably (because of $N = 3$) only $3! = 6$ possible basis function sets. As can be seen from the sample [[Aufgaben:Eercise_4.1:_About_the_Gram-Schmidt_Method|solution]] to Exercise 4.1, the same basis functions will result with the order $s_1(t), s_2(t), s_4(t), s_3(t)$ as with $s_1(t), s_2(t), s_3(t), s_4(t)$. However, this is only a conjecture of the authors; we have not checked it.
+
*However, there are probably (because of $N = 3$) only $3! = 6$ possible sets of basis functions. As can be seen from the sample [[Aufgaben:Eercise_4.1:_About_the_Gram-Schmidt_Method|solution]] to Exercise 4.1, the same basis functions will result with the order $s_1(t), s_2(t), s_4(t), s_3(t)$ as with $s_1(t), s_2(t), s_3(t), s_4(t)$. However, this is only a conjecture of the authors; we have not checked it.
 
* Statement 3 cannot be true simply because of the different units of $s_i(t)$ and $\varphi_{\it j}(t)$. Like $A$, the signals have the unit $\sqrt{\rm W}$, the basis functions the unit $\sqrt{\rm 1/s}$.
 
* Statement 3 cannot be true simply because of the different units of $s_i(t)$ and $\varphi_{\it j}(t)$. Like $A$, the signals have the unit $\sqrt{\rm W}$, the basis functions the unit $\sqrt{\rm 1/s}$.
 
* Thus, the last solution is correct, where for $K$ holds:
 
* Thus, the last solution is correct, where for $K$ holds:
 
:$$K = ||s_1(t)|| = ||s_2(t)|| = ||s_3(t)|| = 10^{-3}\sqrt{\rm Ws} \hspace{0.05cm}.$$
 
:$$K = ||s_1(t)|| = ||s_2(t)|| = ||s_3(t)|| = 10^{-3}\sqrt{\rm Ws} \hspace{0.05cm}.$$
 
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''' Ende Basisfunktionssatz'''
  
 
'''(4)'''&nbsp; From the comparison of the diagrams in the specification section we can see:
 
'''(4)'''&nbsp; From the comparison of the diagrams in the specification section we can see:

Revision as of 14:33, 18 June 2022

Some energy-limited signals

This exercise pursues exactly the same goal as  "Exercise 4.1":

For  $M = 4$  energy-limited signals  $s_i(t)$  with  $i = 1, \ \text{...} \ , 4$,  the  $N$  required orthonormal basis functions  $\varphi_{\it j}(t)$  are to be found, which must satisfy the following condition:

$$< \hspace{-0.1cm} \varphi_j(t), \hspace{0.1cm}\varphi_k(t) \hspace{-0.1cm} > \hspace{0.1cm} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} \int_{-\infty}^{+\infty}\varphi_j(t) \cdot \varphi_k(t)\, {\rm d} t = {\rm \delta}_{jk} = \left\{ \begin{array}{c} 1 \\ 0 \end{array} \right.\quad \begin{array}{*{1}c} j = k \\ j \ne k \\ \end{array} \hspace{0.05cm}.$$

With  $M$  transmitted signals  $s_i(t)$,  already fewer basis functions  $\varphi_{\it j}(t)$  can suffice, namely  $N$. Thus, in general,  $N ≤ M$.

These are exactly the same energy-limited signals  $s_i(t)$  as in  "Exercise 4.1":

  • The difference is the different order of the signals  $s_i(t)$.
  • In this exercise, these are sorted in such a way that the basis functions can be found without using the more cumbersome  "Gram-Schmidt process"




Notes:

  • For numerical calculations, use:   $A = 1 \sqrt{\rm W} , \hspace{0.2cm} T = 1\,{\rm µ s} \hspace{0.05cm}. $


Questions

1

In Exercise 4.1, the Gram-Schmidt process resulted in  $N = 3$  basis functions. How many basis functions are needed here?

$N \ = \ $

2

Give the 2–norm of all signals:

$||s_1(t)|| \ = \ $

$\ \cdot \ 10^{\rm –3} \ \rm \sqrt{Ws}$
$||s_2(t)|| \ = \ $

$\ \cdot \ 10^{\rm –3} \ \rm \sqrt{Ws}$
$||s_3(t)|| \ = \ $

$\ \cdot \ 10^{\rm –3} \ \rm \sqrt{Ws}$
$||s_4(t)|| \ = \ $

$\ \cdot \ 10^{\rm –3} \ \rm \sqrt{Ws}$

3

Which statements are true for the basis functions  $\varphi_1(t)$,  $\varphi_2(t)$  and  $\varphi_3(t)$?

The basis functions computed in Exericse 4.1 are also appropriate here.
There are infinitely many possibilities for  $\{\varphi_1(t),  \varphi_2(t),  \varphi_3(t)\}$.
A possible theorem is  $\{\varphi_{\it j}(t)\} = \{s_{\it j}(t)\}$, with  $j = 1, 2, 3$.
A possible theorem is  $\{\varphi_{\it j}(t)\} = \{s_{\it j}(t)/K\}$, with  $j = 1, 2, 3$.

4

What are the coefficients of the signal  $s_4(t)$, with respect to the basis functions  $\{\varphi_{\it j}(t)\} = \{s_{\it j}(t)/K\}$, with  $j = 1, 2, 3$?

$s_{\rm 41} \ = \ $

$\ \cdot \ 10^{\rm –3} \ \rm \sqrt{Ws}$
$s_{\rm 42} \ = \ $

$\ \cdot \ 10^{\rm –3} \ \rm \sqrt{Ws}$
$s_{\rm 43} \ = \ $

$\ \cdot \ 10^{\rm –3} \ \rm \sqrt{Ws}$


Solution

(1)  The only difference to Exercise 4.1 is the different numbering of the signals $s_i(t)$.

  • Thus it is obvious that $\underline {N = 3}$ must hold here as well.


(2)  The 2–norm gives the root of the signal energy and is comparable to the rms value for power-limited signals.

  • The first three signals all have the 2–norm
$$||s_1(t)|| = ||s_2(t)|| = ||s_3(t)|| = \sqrt{A^2 \cdot T}\hspace{0.1cm}\hspace{0.15cm}\underline { = 10^{-3}\sqrt{\rm Ws}} \hspace{0.05cm}.$$
  • The norm of the last signal is larger by a factor of $\sqrt{2}$:
$$||s_4(t)|| \hspace{0.1cm}\hspace{0.15cm}\underline { = 1.414 \cdot 10^{-3}\sqrt{\rm Ws}} \hspace{0.05cm}.$$

Basisfunktionssatz (3)  The first and last statements are true in contrast to statements 2 and 3:

  • It would be completely illogical if the basis functions found should no longer hold when the signals $s_i(t)$ are sorted differently.
  • The Gram–Schmidt process yields only one possible set $\{\varphi_{\it j}(t)\}$ of basis functions. A different sorting (possibly) yields a different one.
  • The number of permutations of  $M = 4$  signals is  $4! = 24$. In any case, there cannot be more basis function sets   ⇒   solution 2 is wrong.
  • However, there are probably (because of $N = 3$) only $3! = 6$ possible sets of basis functions. As can be seen from the sample solution to Exercise 4.1, the same basis functions will result with the order $s_1(t), s_2(t), s_4(t), s_3(t)$ as with $s_1(t), s_2(t), s_3(t), s_4(t)$. However, this is only a conjecture of the authors; we have not checked it.
  • Statement 3 cannot be true simply because of the different units of $s_i(t)$ and $\varphi_{\it j}(t)$. Like $A$, the signals have the unit $\sqrt{\rm W}$, the basis functions the unit $\sqrt{\rm 1/s}$.
  • Thus, the last solution is correct, where for $K$ holds:
$$K = ||s_1(t)|| = ||s_2(t)|| = ||s_3(t)|| = 10^{-3}\sqrt{\rm Ws} \hspace{0.05cm}.$$

Ende Basisfunktionssatz

(4)  From the comparison of the diagrams in the specification section we can see:

$$s_{4}(t) = s_{1}(t) - s_{2}(t) = K \cdot \varphi_1(t) - K \cdot \varphi_2(t)\hspace{0.05cm}.$$
  • Furthermore holds:
$$s_{4}(t) = s_{41}\cdot \varphi_1(t) + s_{42}\cdot \varphi_2(t) + s_{43}\cdot \varphi_3(t)$$
$$\Rightarrow \hspace{0.3cm}s_{41} = K \hspace{0.1cm}\hspace{0.15cm}\underline {= 10^{-3}\sqrt{\rm Ws}}\hspace{0.05cm}, \hspace{0.2cm}s_{42} = -K \hspace{0.1cm}\hspace{0.15cm}\underline {= -10^{-3}\sqrt{\rm Ws}}\hspace{0.05cm}, \hspace{0.2cm}s_{43} \hspace{0.1cm}\hspace{0.15cm}\underline { = 0}\hspace{0.05cm}. $$