Difference between revisions of "Aufgaben:Exercise 4.2: Low-Pass for Signal Reconstruction"
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− | [[File:P_ID1608__Mod_A_4_2.png|right|frame| | + | [[File:P_ID1608__Mod_A_4_2.png|right|frame|Examples of continuous and discrete spectra '''Korrektur''']] |
− | We consider in this exercise two different source signals $q_{\rm | + | We consider in this exercise two different source signals $q_{\rm con}(t)$ and $q_{\rm dis}(t)$ whose magnitude spectra $|Q_{\rm con}(f)|$ and $|Q_{\rm dis}(f)|$ are plotted. The highest frequency occurring in the signals is in each case $4 \rm kHz$. |
− | * Nothing more is known of the spectral function $Q_{\rm | + | * Nothing more is known of the spectral function $Q_{\rm con}(f)$ than that it is a continuous spectrum, where: |
− | :$$Q_{\rm | + | :$$Q_{\rm con}(|f| \le 4\,{\rm kHz}) \ne 0 \hspace{0.05cm}.$$ |
* The spectrum $Q_{\rm dis}(f)$ contains spectral lines at $±1 \ \rm kHz$, $±2 \ \rm kHz$, $±3 \ \rm kHz$ and $±4 \ \rm kHz$. Thus: | * The spectrum $Q_{\rm dis}(f)$ contains spectral lines at $±1 \ \rm kHz$, $±2 \ \rm kHz$, $±3 \ \rm kHz$ and $±4 \ \rm kHz$. Thus: | ||
:$$q_{\rm dis}(t) = \sum_{i=1}^{4}C_i \cdot \cos (2 \pi \cdot f_i \cdot t - \varphi_i),$$ | :$$q_{\rm dis}(t) = \sum_{i=1}^{4}C_i \cdot \cos (2 \pi \cdot f_i \cdot t - \varphi_i),$$ | ||
:Amplitude values: $C_1 = 1.0 \ \rm V$, $C_2 = 1.8 \ \rm V$, $C_3 = 0.8 \ \rm V$, $C_4 = 0.4 \ \rm V.$ | :Amplitude values: $C_1 = 1.0 \ \rm V$, $C_2 = 1.8 \ \rm V$, $C_3 = 0.8 \ \rm V$, $C_4 = 0.4 \ \rm V.$ | ||
− | :The phase values $φ_1$, $φ_2$ and $φ_3$ are respectively in the range $ | + | :The phase values $φ_1$, $φ_2$ and $φ_3$ are respectively in the range $±180^\circ$ and it holds $φ_4 = 90^\circ$. |
− | The signals are each sampled at frequency $f_{\rm A}$ and immediately fed to an ideal rectangular | + | The signals are each sampled at frequency $f_{\rm A}$ and immediately fed to an ideal rectangular low-pass filter with cutoff frequency $f_{\rm G}$ This scenario applies, for example, to |
− | * the interference-free pulse amplitude modulation (PAM) and | + | * the interference-free pulse amplitude modulation $\rm (PAM)$ and |
− | * the interference-free pulse code modulation (PCM) at infinitely large quantization stage number $M$. | + | * the interference-free pulse code modulation $\rm (PCM)$ at infinitely large quantization stage number $M$. |
− | The output signal of the (rectangular) low-pass filter is called the sink signal $v(t)$ and for the error signal | + | The output signal of the (rectangular) low-pass filter is called the sink signal $v(t)$ and for the error signal: |
:$$ε(t) = v(t) - q(t).$$ | :$$ε(t) = v(t) - q(t).$$ | ||
This is different from zero only if the parameters of the sampling $($sampling frequency $f_{\rm A})$ and/or the signal reconstruction $($cutoff frequency $f_{\rm G})$ are not dimensioned in the best possible way. | This is different from zero only if the parameters of the sampling $($sampling frequency $f_{\rm A})$ and/or the signal reconstruction $($cutoff frequency $f_{\rm G})$ are not dimensioned in the best possible way. | ||
− | |||
− | |||
− | |||
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Hints: | Hints: | ||
− | *The exercise belongs to the chapter [[Modulation_Methods/Pulse_Code_Modulation|Pulse Code Modulation]]. | + | *The exercise belongs to the chapter [[Modulation_Methods/Pulse_Code_Modulation|"Pulse Code Modulation"]]. |
− | *Reference is made in particular to the page [[Modulation_Methods/Pulse_Code_Modulation#Sampling_and_signal_reconstruction|Sampling and Signal Reconstruction]]. | + | *Reference is made in particular to the page [[Modulation_Methods/Pulse_Code_Modulation#Sampling_and_signal_reconstruction|"Sampling and Signal Reconstruction"]]. |
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{Which statements are true for $f_{\rm A} = 8\ \rm kHz$ and $f_{\rm G} = 4\ \rm kHz$ ? | {Which statements are true for $f_{\rm A} = 8\ \rm kHz$ and $f_{\rm G} = 4\ \rm kHz$ ? | ||
|type="[]"} | |type="[]"} | ||
− | + The signal $q_{\rm | + | + The signal $q_{\rm con}(t)$ can be completely reconstructed: $ε_{\rm con}(t) = 0$. |
- The signal $q_{\rm dis}(t)$ can be completely reconstructed: $ε_{\rm dis}(t) = 0$. | - The signal $q_{\rm dis}(t)$ can be completely reconstructed: $ε_{\rm dis}(t) = 0$. | ||
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*Sampling $q_{\rm dis}(t)$ with sampling frequency $f_{\rm A} = 8 \ \rm kHz$ leads to an irreversible error, since $Q_{\rm dis}(f)$ involves a discrete spectral component (diracline) at $f_4 = 4\ \rm kHz$ and the phase value $φ_4 ≠ 0$ is. | *Sampling $q_{\rm dis}(t)$ with sampling frequency $f_{\rm A} = 8 \ \rm kHz$ leads to an irreversible error, since $Q_{\rm dis}(f)$ involves a discrete spectral component (diracline) at $f_4 = 4\ \rm kHz$ and the phase value $φ_4 ≠ 0$ is. | ||
*With the phase value given here $φ_4 = 90^\circ$ $(4 \ \rm kHz$- sinusoidal component$)$ holds $ε_{\rm dis}(t) = v_{\rm dis}(t) - q_{\rm dis}(t) = -0. 4 \ \rm V - \sin(2π \cdot f_4 \cdot t)$. See also sample solution to exercise 4.2Z. | *With the phase value given here $φ_4 = 90^\circ$ $(4 \ \rm kHz$- sinusoidal component$)$ holds $ε_{\rm dis}(t) = v_{\rm dis}(t) - q_{\rm dis}(t) = -0. 4 \ \rm V - \sin(2π \cdot f_4 \cdot t)$. See also sample solution to exercise 4.2Z. | ||
− | *On the other hand, the signal $q_{\rm kon}(t)$ with the continuous spectrum $Q_{\rm | + | *On the other hand, the signal $q_{\rm kon}(t)$ with the continuous spectrum $Q_{\rm con}(f)$ can also then be measured with a square-wave low-pass filter $($with cutoff frequency $f_{\rm G} = 4\ \rm kHz)$ be completely reconstructed if sampling frequency $f_{\rm A} = 8\ \rm kHz$ was used. For all frequencies not equal to $f_4$ the sampling theorem is satisfied. |
− | *But the contribution of the $f_4$ component to the total spectrum $Q_{\rm | + | *But the contribution of the $f_4$ component to the total spectrum $Q_{\rm con}(f)$ is only vanishingly small ⇒ ${\rm Pr}(f_4) → 0$ as long as the spectrum at $f_4$ has no diracline. |
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'''(2)''' Only the <u>proposed solution 1</u> is correct: | '''(2)''' Only the <u>proposed solution 1</u> is correct: | ||
*With $f_{\rm A} = 10\ \rm kHz$ the sampling theorem is satisfied in both cases. | *With $f_{\rm A} = 10\ \rm kHz$ the sampling theorem is satisfied in both cases. | ||
− | *With $f_{\rm G} = f_{\rm A} /2$ both error signals $ε_{\rm | + | *With $f_{\rm G} = f_{\rm A} /2$ both error signals $ε_{\rm con}(t)$ and $ε_{\rm dis}(t)$ are identically zero. |
*In addition, the signal reconstruction also works as long as $f_{\rm G} > 4 \ \rm kHz$ and $f_{\rm G} < 6 \ \rm kHz$ holds. | *In addition, the signal reconstruction also works as long as $f_{\rm G} > 4 \ \rm kHz$ and $f_{\rm G} < 6 \ \rm kHz$ holds. | ||
Revision as of 16:39, 7 April 2022
We consider in this exercise two different source signals $q_{\rm con}(t)$ and $q_{\rm dis}(t)$ whose magnitude spectra $|Q_{\rm con}(f)|$ and $|Q_{\rm dis}(f)|$ are plotted. The highest frequency occurring in the signals is in each case $4 \rm kHz$.
- Nothing more is known of the spectral function $Q_{\rm con}(f)$ than that it is a continuous spectrum, where:
- $$Q_{\rm con}(|f| \le 4\,{\rm kHz}) \ne 0 \hspace{0.05cm}.$$
- The spectrum $Q_{\rm dis}(f)$ contains spectral lines at $±1 \ \rm kHz$, $±2 \ \rm kHz$, $±3 \ \rm kHz$ and $±4 \ \rm kHz$. Thus:
- $$q_{\rm dis}(t) = \sum_{i=1}^{4}C_i \cdot \cos (2 \pi \cdot f_i \cdot t - \varphi_i),$$
- Amplitude values: $C_1 = 1.0 \ \rm V$, $C_2 = 1.8 \ \rm V$, $C_3 = 0.8 \ \rm V$, $C_4 = 0.4 \ \rm V.$
- The phase values $φ_1$, $φ_2$ and $φ_3$ are respectively in the range $±180^\circ$ and it holds $φ_4 = 90^\circ$.
The signals are each sampled at frequency $f_{\rm A}$ and immediately fed to an ideal rectangular low-pass filter with cutoff frequency $f_{\rm G}$ This scenario applies, for example, to
- the interference-free pulse amplitude modulation $\rm (PAM)$ and
- the interference-free pulse code modulation $\rm (PCM)$ at infinitely large quantization stage number $M$.
The output signal of the (rectangular) low-pass filter is called the sink signal $v(t)$ and for the error signal:
- $$ε(t) = v(t) - q(t).$$
This is different from zero only if the parameters of the sampling $($sampling frequency $f_{\rm A})$ and/or the signal reconstruction $($cutoff frequency $f_{\rm G})$ are not dimensioned in the best possible way.
Hints:
- The exercise belongs to the chapter "Pulse Code Modulation".
- Reference is made in particular to the page "Sampling and Signal Reconstruction".
Questions
Solution
- Sampling $q_{\rm dis}(t)$ with sampling frequency $f_{\rm A} = 8 \ \rm kHz$ leads to an irreversible error, since $Q_{\rm dis}(f)$ involves a discrete spectral component (diracline) at $f_4 = 4\ \rm kHz$ and the phase value $φ_4 ≠ 0$ is.
- With the phase value given here $φ_4 = 90^\circ$ $(4 \ \rm kHz$- sinusoidal component$)$ holds $ε_{\rm dis}(t) = v_{\rm dis}(t) - q_{\rm dis}(t) = -0. 4 \ \rm V - \sin(2π \cdot f_4 \cdot t)$. See also sample solution to exercise 4.2Z.
- On the other hand, the signal $q_{\rm kon}(t)$ with the continuous spectrum $Q_{\rm con}(f)$ can also then be measured with a square-wave low-pass filter $($with cutoff frequency $f_{\rm G} = 4\ \rm kHz)$ be completely reconstructed if sampling frequency $f_{\rm A} = 8\ \rm kHz$ was used. For all frequencies not equal to $f_4$ the sampling theorem is satisfied.
- But the contribution of the $f_4$ component to the total spectrum $Q_{\rm con}(f)$ is only vanishingly small ⇒ ${\rm Pr}(f_4) → 0$ as long as the spectrum at $f_4$ has no diracline.
(2) Only the proposed solution 1 is correct:
- With $f_{\rm A} = 10\ \rm kHz$ the sampling theorem is satisfied in both cases.
- With $f_{\rm G} = f_{\rm A} /2$ both error signals $ε_{\rm con}(t)$ and $ε_{\rm dis}(t)$ are identically zero.
- In addition, the signal reconstruction also works as long as $f_{\rm G} > 4 \ \rm kHz$ and $f_{\rm G} < 6 \ \rm kHz$ holds.
(3) The correct solution here is suggested solution 2:
- With $f_{\rm G} = 3.5 \ \rm kHz$ the lowpass incorrectly removes the $4\ \rm kHz$ component, that is, then holds:
- $$ v_{\rm dis}(t) = q_{\rm dis}(t) - 0.4\,{\rm V} \cdot \sin (2 \pi \cdot f_{\rm 4} \cdot t)\hspace{0.3cm}\Rightarrow \hspace{0.3cm} \varepsilon_{\rm dis}(t) = - 0.4\,{\rm V} \cdot \sin (2 \pi \cdot f_{\rm 4} \cdot t)\hspace{0.05cm}.$$
(4) The correct solution here is suggested solution 3:
- Sampling with $f_{\rm A} = 10\ \rm kHz$ yields the periodic spectrum sketched on the right.
- The low pass with $f_{\rm G} = 6.5 \ \rm kHz$ removes all discrete frequency components with $|f| ≥ 7\ \rm kHz$, but not the $6\ \rm kHz$ component.
The error signal $ε_{\rm dis}(t) = v_{\rm dis}(t) - q_{\rm dis}(t)$ is then a harmonic oscillation with
- the frequency $f_6 = f_{\rm A} - f_4 = 6\ \rm kHz$,
- the amplitude $A_4$ of the $f_4$ component,
- the phase $φ_{-4} = -φ_4$ of the $Q(f)$ component at $f = -f_4$.