Difference between revisions of "Aufgaben:Exercise 1.2Z: Puls Code Modulation"
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m (Text replacement - "value-continuous" to "continuous") |
m (Text replacement - "discrete-valued" to "discrete") |
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{Which of the statements apply to the sampled signal $q_{\rm A}(t)$ ? | {Which of the statements apply to the sampled signal $q_{\rm A}(t)$ ? | ||
|type="[]"} | |type="[]"} | ||
− | - $q_{\rm A}(t)$ is a discrete | + | - $q_{\rm A}(t)$ is a discrete signal. |
+ $q_{\rm A}(t)$ is a time-discrete signal. | + $q_{\rm A}(t)$ is a time-discrete 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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|type="[]"} | |type="[]"} | ||
+ $q_{\rm Q}(t)$ is a time-discrete signal. | + $q_{\rm Q}(t)$ is a time-discrete signal. | ||
− | - $q_{\rm Q}(t)$ is a discrete | + | - $q_{\rm Q}(t)$ is a discrete signal with $M = 8$ possible values. |
− | + $q_{\rm Q}(t)$ is a discrete | + | + $q_{\rm Q}(t)$ is a discrete signal with $M = 256$ possible values. |
- $q_{\rm Q}(t)$ is a binary signal. | - $q_{\rm Q}(t)$ is a binary signal. | ||
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|type="[]"} | |type="[]"} | ||
+ $q_{\rm C}(t)$ is a time-discrete signal. | + $q_{\rm C}(t)$ is a time-discrete signal. | ||
− | - $q_{\rm C}(t)$ is a discrete | + | - $q_{\rm C}(t)$ is a discrete 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 $T_{\rm B} = T_{\rm A}$. |
Revision as of 09:27, 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, but now also time-discrete.
- 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 value–discrete 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 $T_{\rm B} = T_{\rm A}/8$.