Difference between revisions of "Aufgaben:Exercise 1.2Z: Puls Code Modulation"
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− | {{quiz-Header|Buchseite= | + | {{quiz-Header|Buchseite=Signal_Representation/Signal_classification}} |
− | [[File:EN_Sig_Z_1_2.png|right|frame| | + | [[File:EN_Sig_Z_1_2.png|right|frame|PCM components]] |
All modern communication systems are digital. The principle of digital transmission of speech signals goes back to [https://en.wikipedia.org/wiki/Alec_Reeves Alec Reeves], who invented the so-called "Puls Code Modulation" $\rm (PCM)$ as early as 1938. | All modern communication systems are digital. The principle of digital transmission of speech signals goes back to [https://en.wikipedia.org/wiki/Alec_Reeves Alec Reeves], who invented the so-called "Puls Code Modulation" $\rm (PCM)$ as early as 1938. | ||
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+ In normal operation ${q(t)}$ is a stochastic signal. | + In normal operation ${q(t)}$ is a stochastic signal. | ||
+ A deterministic source signal is only useful in test operation or for theoretical investigations. | + A deterministic source signal is only useful in test operation or for theoretical investigations. | ||
− | - ${q(t)}$ is a time | + | - ${q(t)}$ is a discrete-time signal. |
+ ${q(t)}$ is a continuous-valued signal. | + ${q(t)}$ is a continuous-valued signal. | ||
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|type="[]"} | |type="[]"} | ||
- $q_{\rm A}(t)$ is a discrete-valued signal. | - $q_{\rm A}(t)$ is a discrete-valued signal. | ||
− | + $q_{\rm A}(t)$ is a time | + | + $q_{\rm A}(t)$ is a discrete-time signal. |
+ The higher the maximum frequency of the source signal, the higher the sampling rate must be selected. | + The higher the maximum frequency of the source signal, the higher the sampling rate must be selected. | ||
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{Which statements are true for the quantized signal $q_{\rm Q}(t)$ if $N = 8$ is taken as a base? | {Which statements are true for the quantized signal $q_{\rm Q}(t)$ if $N = 8$ is taken as a base? | ||
|type="[]"} | |type="[]"} | ||
− | + $q_{\rm Q}(t)$ is a time | + | + $q_{\rm Q}(t)$ is a discrete-time signal. |
- $q_{\rm Q}(t)$ is a discrete-valued signal with $M = 8$ possible values. | - $q_{\rm Q}(t)$ is a discrete-valued signal with $M = 8$ possible values. | ||
+ $q_{\rm Q}(t)$ is a discrete-valued signal with $M = 256$ possible values. | + $q_{\rm Q}(t)$ is a discrete-valued signal with $M = 256$ possible values. | ||
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{Which statements are true for the coded signal $q_{\rm C}(t)$ if $N = 8$ is taken as a base? | {Which statements are true for the coded signal $q_{\rm C}(t)$ if $N = 8$ is taken as a base? | ||
|type="[]"} | |type="[]"} | ||
− | + $q_{\rm C}(t)$ is a time | + | + $q_{\rm C}(t)$ is a discrete-time signal. |
− | - $q_{\rm C}(t)$ is a discrete- | + | - $q_{\rm C}(t)$ is a discrete-time signal with $M = 8$ possible values. |
+ $q_{\rm C}(t)$ is a binary signal. | + $q_{\rm C}(t)$ is a binary signal. | ||
- When sampling at distance $T_{\rm A}$ the bit duration is $T_{\rm B} = T_{\rm A}$. | - When sampling at distance $T_{\rm A}$ the bit duration is $T_{\rm B} = T_{\rm A}$. | ||
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'''(2)''' Correct are the <u>solution suggestions 2 and 3</u>: | '''(2)''' Correct are the <u>solution suggestions 2 and 3</u>: | ||
− | *After sampling, the signal $q_{\rm A}(t)$ is still value | + | *After sampling, the signal $q_{\rm A}(t)$ is still continuous in value, but now also discrete in time. |
*The sampling frequency $f_{\rm A}$ is given by the so-called "Sampling Theorem". | *The sampling frequency $f_{\rm A}$ is given by the so-called "Sampling Theorem". | ||
*The greater the maximum frequency $f_{\rm N,\,max}$ of the source signal, the greater must $f_{\rm A} ≥ 2 \cdot f_{\rm N,\,max}$ be selected. | *The greater the maximum frequency $f_{\rm N,\,max}$ of the source signal, the greater must $f_{\rm A} ≥ 2 \cdot f_{\rm N,\,max}$ be selected. | ||
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'''(3)''' Correct are the <u>solution suggestions 1 and 3</u>: | '''(3)''' Correct are the <u>solution suggestions 1 and 3</u>: | ||
*The quantized signal $q_{\rm Q}(t)$ is discrete in time and value, where the number of levels are $M = 2^8 = 256$ . | *The quantized signal $q_{\rm Q}(t)$ is discrete in time and value, where the number of levels are $M = 2^8 = 256$ . | ||
− | *A binary signal, on the other hand, is a discrete | + | *A binary signal, on the other hand, is a discrete-valued signal with the level number $M = 2$. |
− | '''(4)''' Correct | + | '''(4)''' Correct are the <u>solutions 1, 3 and 5</u>: |
*The coded signal $q_{\rm C}(t)$ is binary $($level number $M = 2)$ with bit duration $T_{\rm B} = T_{\rm A}/8$. | *The coded signal $q_{\rm C}(t)$ is binary $($level number $M = 2)$ with bit duration $T_{\rm B} = T_{\rm A}/8$. | ||
{{ML-Fuß}} | {{ML-Fuß}} |
Latest revision as of 09:42, 11 October 2021
All modern communication systems are digital. The principle of digital transmission of speech signals goes back to Alec Reeves, who invented the so-called "Puls Code Modulation" $\rm (PCM)$ as early as 1938.
On the right you see the (simplified) block diagram of the PCM transmitter with three functional units:
- The band-limited speech signal ${q(t)}$ is sampled, where the Sampling Theorem is observed, and yields the sampled signal $q_{\rm A}(t)$.
- Each sample $q_{\rm A}(t)$ is mapped to one of $M = 2^N$ results in the quantized signal $q_{\rm Q}(t)$.
- Each individual quantized value is represented by a code sequence of $N$ binary symbols and results in the coded signal $q_{\rm C}(t)$.
In this task only the different signals of the PCM transmitter are to be classified.
Later tasks will deal with other properties of the puls code modulation.
Note: This task belongs to the chapter Signal classification.
Questions
Solution
(1) Correct are the solutions 1, 2 and 4:
- The source signal ${q(t)}$ is analog, i.e. "continuous in time and value".
- In general, it makes no sense to transmit a deterministic signal.
- For the mathematical description, a deterministic source signal – such as a periodic signal – is better suited than a random signal.
- Deterministic signals are also used for testing in order to be able to reconstruct detected errors.
(2) Correct are the solution suggestions 2 and 3:
- After sampling, the signal $q_{\rm A}(t)$ is still continuous in value, but now also discrete in time.
- The sampling frequency $f_{\rm A}$ is given by the so-called "Sampling Theorem".
- The greater the maximum frequency $f_{\rm N,\,max}$ of the source signal, the greater must $f_{\rm A} ≥ 2 \cdot f_{\rm N,\,max}$ be selected.
(3) Correct are the solution suggestions 1 and 3:
- The quantized signal $q_{\rm Q}(t)$ is discrete in time and value, where the number of levels are $M = 2^8 = 256$ .
- A binary signal, on the other hand, is a discrete-valued signal with the level number $M = 2$.
(4) Correct are the solutions 1, 3 and 5:
- The coded signal $q_{\rm C}(t)$ is binary $($level number $M = 2)$ with bit duration $T_{\rm B} = T_{\rm A}/8$.