Aufgaben:Exercise 2.2Z: Average Code Word Length: Difference between revisions

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[[File:P_ID2417__Inf_Z_2_2.png|right|frame|Source coding table]]
[[File:P_ID2417__Inf_Z_2_2.png|right|frame|Three source coding tables]]
The aim of data compression is to represent the message of a source with as few binary characters as possible.
The aim of data compression is to represent the message of a source with as few binary characters as possible.


We consider here a discrete-value message source with the symbol set  $\rm \{ A, \ B, \ C, \ D\}$   ⇒   symbol range  $M = 4$  and the probabilities of occurrence
We consider here a discrete-value message source with the symbol set  $\rm \{ A, \ B, \ C, \ D\}$   ⇒   symbol set size  $M = 4$  and the symbol probabilities
:*$p_{\rm A} = p_{\rm B} = p_{\rm C} = p_{\rm D} =  1/4$  (subtask 1),
:*$p_{\rm A} = p_{\rm B} = p_{\rm C} = p_{\rm D} =  1/4$  $($subtask  $1)$,
:* $p_{\rm A} = 1/2, \,  p_{\rm B} = 1/4, \, p_{\rm C} = p_{\rm D} =  1/8$   (from subtask 2).
:* $p_{\rm A} = 1/2, \,  p_{\rm B} = 1/4, \, p_{\rm C} = p_{\rm D} =  1/8$   $($subtask  $2$  to  $5)$.




It is assumed that there are no statistical ties between the individual source symbols.
It is assumed that there are no statistical Dependencies between the individual source symbols.
 
A measure for the quality of a compression method is the average codeword length  $L_{\rm M}$   with the additional unit "bit/source symbol".  


Three assignments are given. To be noted:
Three assignments are given. To be noted:
* Each of these binary codes  $\rm C1$,  $\rm C2$  and  $\rm C3$  is designed for a specific source statistic.
* Each of these binary codes  $\rm C1$,  $\rm C2$  and  $\rm C3$  is designed for a specific source statistic.
* All codes are prefix-free and thus immediately decodable without further specification.
* All codes are prefix-free and thus immediately decodable without further specification.
A measure for the quality of a compression method is the average codeword length  $L_{\rm M}$   with the additional unit  "bit/source symbol".




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''Hint:''  
''Hint:''  
*The task belongs to the chapter  [[Information_Theory/Allgemeine_Beschreibung|General description of source coding]].
*The exercise belongs to the chapter  [[Information_Theory/Allgemeine_Beschreibung|General Description of Source Coding]].
   
   


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<quiz display=simple>
<quiz display=simple>
{Determine the mean codeword length&nbsp; $L_{\rm M}$&nbsp; for&nbsp; $p_{\rm A} = p_{\rm B} = p_{\rm C} = p_{\rm D} =  1/4$.
{Determine the average codeword length&nbsp; $L_{\rm M}$&nbsp; for&nbsp; $p_{\rm A} = p_{\rm B} = p_{\rm C} = p_{\rm D} =  1/4$.
|type="{}"}
|type="{}"}
$\text{C1:}\ \ L_{\rm M} \ = \ $  { 2 1% } $\ \rm bit/source symbol$
$\text{C1:}\ \ L_{\rm M} \ = \ $  { 2 1% } $\ \rm bit/source\hspace{0.15cm} symbol$
$\text{C2:}\ \ L_{\rm M} \ =  \ $  { 2.25 1% } $\ \rm bit/source symbol$
$\text{C2:}\ \ L_{\rm M} \ =  \ $  { 2.25 1% } $\ \rm bit/source\hspace{0.15cm} symbol$
$\text{C3:}\ \ L_{\rm M} \ =  \ $  { 2.25 1% } $\ \rm bit/source symbol$
$\text{C3:}\ \ L_{\rm M} \ =  \ $  { 2.25 1% } $\ \rm bit/source\hspace{0.15cm} symbol$




{Which values result for&nbsp; $p_{\rm A} = 1/2, \,  p_{\rm B} = 1/4, \, p_{\rm C} = p_{\rm D} =  1/8$?
{Which values result for&nbsp; $p_{\rm A} = 1/2, \,  p_{\rm B} = 1/4, \, p_{\rm C} = p_{\rm D} =  1/8$?
|type="{}"}
|type="{}"}
$\text{C1:}\ \ L_{\rm M} \ =  \ $  { 2 1% } $\ \rm bit/source symbol$
$\text{C1:}\ \ L_{\rm M} \ =  \ $  { 2 1% } $\ \rm bit/source\hspace{0.15cm} symbol$
$\text{C2:}\ \ L_{\rm M} \ =  \ $  { 1.75 1% } $\ \rm bit/source symbol$
$\text{C2:}\ \ L_{\rm M} \ =  \ $  { 1.75 1% } $\ \rm bit/source\hspace{0.15cm} symbol$
$\text{C3:}\ \ L_{\rm M} \ =  \ $  { 2.5 1% } $\ \rm bit/source symbol$
$\text{C3:}\ \ L_{\rm M} \ =  \ $  { 2.5 1% } $\ \rm bit/source\hspace{0.15cm} symbol$




{How can you recognise prefix-free codes?
{How can you recognise prefix-free codes?
|type="[]"}
|type="[]"}
+ No code word is the beginning of another code word.
+ No codeword is the beginning of another codeword.
- All codewords have the same length.
- All codewords have the same length.




{For the special source symbol sequence&nbsp; $\rm ADBDCBCBADCA$&nbsp;, the code symbol sequence&nbsp; $\rm 001101111001100100111000$ results.  
{For the special source symbol sequence&nbsp; $\rm ADBDCBCBADCA$&nbsp;, the code symbol sequence&nbsp; $\rm 001101111001100100111000$&nbsp; results.  
<br>Which code was used?
<br>Which code was used?
|type="()"}
|type="()"}
+ the code&nbsp;  $\rm C1$,
+ The code&nbsp;  $\rm C1$,
- the code&nbsp; $\rm C2$.
- the code&nbsp; $\rm C2$.




{After coding with&nbsp; $\rm C3$&nbsp;, you get&nbsp; $\rm 001101111001100100111000$.&nbsp; What is the corresponding source symbol sequence?
{After coding with&nbsp; $\rm C3$,&nbsp; you get&nbsp; $\rm 001101111001100100111000$.&nbsp; What is the corresponding source symbol sequence?
|type="()"}
|type="()"}
- $\rm AACDBACABADAAA$ ...
- $\rm AACDBACABADAAA$ ...

Revision as of 17:04, 7 July 2021

Three source coding tables

The aim of data compression is to represent the message of a source with as few binary characters as possible.

We consider here a discrete-value message source with the symbol set  $\rm \{ A, \ B, \ C, \ D\}$   ⇒   symbol set size  $M = 4$  and the symbol probabilities

  • $p_{\rm A} = p_{\rm B} = p_{\rm C} = p_{\rm D} = 1/4$  $($subtask  $1)$,
  • $p_{\rm A} = 1/2, \, p_{\rm B} = 1/4, \, p_{\rm C} = p_{\rm D} = 1/8$  $($subtask  $2$  to  $5)$.


It is assumed that there are no statistical Dependencies between the individual source symbols.

Three assignments are given. To be noted:

  • Each of these binary codes  $\rm C1$,  $\rm C2$  and  $\rm C3$  is designed for a specific source statistic.
  • All codes are prefix-free and thus immediately decodable without further specification.


A measure for the quality of a compression method is the average codeword length  $L_{\rm M}$  with the additional unit  "bit/source symbol".





Hint:



Questions

1 Determine the average codeword length  $L_{\rm M}$  for  $p_{\rm A} = p_{\rm B} = p_{\rm C} = p_{\rm D} = 1/4$.

$\text{C1:}\ \ L_{\rm M} \ = \ $ $\ \rm bit/source\hspace{0.15cm} symbol$
$\text{C2:}\ \ L_{\rm M} \ = \ $ $\ \rm bit/source\hspace{0.15cm} symbol$
$\text{C3:}\ \ L_{\rm M} \ = \ $ $\ \rm bit/source\hspace{0.15cm} symbol$

2 Which values result for  $p_{\rm A} = 1/2, \, p_{\rm B} = 1/4, \, p_{\rm C} = p_{\rm D} = 1/8$?

$\text{C1:}\ \ L_{\rm M} \ = \ $ $\ \rm bit/source\hspace{0.15cm} symbol$
$\text{C2:}\ \ L_{\rm M} \ = \ $ $\ \rm bit/source\hspace{0.15cm} symbol$
$\text{C3:}\ \ L_{\rm M} \ = \ $ $\ \rm bit/source\hspace{0.15cm} symbol$

3 How can you recognise prefix-free codes?

No codeword is the beginning of another codeword.
All codewords have the same length.

4 For the special source symbol sequence  $\rm ADBDCBCBADCA$ , the code symbol sequence  $\rm 001101111001100100111000$  results.
Which code was used?

The code  $\rm C1$,
the code  $\rm C2$.

5 After coding with  $\rm C3$,  you get  $\rm 001101111001100100111000$.  What is the corresponding source symbol sequence?

$\rm AACDBACABADAAA$ ...
$\rm ACBCCCACAACCD$ ...


Solution

(1)  The average codeword length is generally given by

$$L_{\rm M} = p_{\rm A} \cdot L_{\rm A} + p_{\rm B} \cdot L_{\rm B}+ p_{\rm C} \cdot L_{\rm C} + p_{\rm D} \cdot L_{\rm D}

\hspace{0.05cm}.$$ If the four source symbols are equally probable  $($all probabilities exactly $1/4)$, then for this we can also write:

$$L_{\rm M} = 1/4 \cdot ( L_{\rm A} + L_{\rm B}+ L_{\rm C} + L_{\rm D})

\hspace{0.05cm}.$$

  • $\text{Code C1:}$    $L_{\rm M} \hspace{0.15cm}\underline{= 2.00}\ \rm bit/source symbol$,
  • $\text{Code C2:}$    $L_{\rm M} \hspace{0.15cm}\underline{= 2.25}\ \rm bit/source symbol$
  • $\text{Code C3:}$    $L_{\rm M} \hspace{0.15cm}\underline{= 2.25}\ \rm bit/source symbol$.


(2)  With the code table  $\text{C1}$ , the average code word length  $L_{\rm M} \hspace{0.15cm}\underline{= 2}\ \rm bit/source symbol$ is always obtained, independent of the symbol probabilities.

For the other two codes one obtains:

  • $\text{Code C2:}$    $L_{\rm M} = 1/2 \cdot 1 + 1/4 \cdot 2 + 1/8 \cdot 3 + 1/8 \cdot 3 \hspace{0.15cm}\underline{= 1.75}\ \rm bit/source symbol$,
  • $\text{Code C3:}$    $L_{\rm M} = 1/2 \cdot 3 + 1/4 \cdot 2 + 1/8 \cdot 1 + 1/8 \cdot 3 \hspace{0.15cm}\underline{= 2.50}\ \rm bit/source symbol$.


You can see the principle from the example:

  • Probable symbols are represented by a few binary symbols, improbable ones by more.
  • In the case of equally probable symbols, it is best to choose the same codeword lengths.



(3)  Solution suggestion 1 is correct:

  • The code  $\text{C1}$  with uniform length of all codewords is prefix-free,
  • but other codes can also be prefix-free, for example the codes  $\text{C2}$  and  $\text{C3}$.


(4)  Solution suggestion 1 is correct:

  • Already from "00" at the beginning one can see that the code  $\text{C2}$  is out of the question here, because otherwise the source symbol sequence would have to begin with "AA".
  • In fact, the code  $\text{C1}$  was used.


(5)  Solution suggestion 2 is correct:

  • The first suggested solution, on the other hand, gives the source symbol sequence for code  $\text{C2}$  if the code symbol sequence would be   $\rm 001101111001100100111000$ .