Difference between revisions of "Aufgaben:Exercise 2.1Z: Distortion and Equalisation"
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− | {{quiz-Header|Buchseite= | + | {{quiz-Header|Buchseite=Linear_and_Time_Invariant_Systems/Classification_of_the_Distortions |
}} | }} | ||
− | [[File:P_ID880__LZI_Z_2_1.png|right|frame| | + | [[File:P_ID880__LZI_Z_2_1.png|right|frame|Three continuous spectral functions]] |
− | + | Three continuous spectral functions are depicted in the graph: | |
− | * | + | * a cos<sup>2</sup>–spectrum that has components only in the range $|f| < 1 \ \rm kHz$ where the following holds: |
:$$A(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot \cos^2(\frac{|f|}{1 \, \rm kHz} \cdot \frac{\pi}{ 2} ) ,$$ | :$$A(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot \cos^2(\frac{|f|}{1 \, \rm kHz} \cdot \frac{\pi}{ 2} ) ,$$ | ||
− | * | + | * a triangular spectrum which is also limited to the frequency range $|f| < 1 \ \rm kHz$: |
:$$B(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot \left(1-\frac{|f|}{1 \, \rm kHz} \right),$$ | :$$B(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot \left(1-\frac{|f|}{1 \, \rm kHz} \right),$$ | ||
− | * | + | * a so-called Gaussian spectrum: |
:$$C(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot {\rm e}^{-\pi \hspace{0.05cm}\cdot \hspace{0.05cm} (f/{1 \, \rm kHz})^2} .$$ | :$$C(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot {\rm e}^{-\pi \hspace{0.05cm}\cdot \hspace{0.05cm} (f/{1 \, \rm kHz})^2} .$$ | ||
− | + | Furthermore, we consider | |
− | * | + | *a linearly distorting system $S_{\rm V}$ with $X(f)$ at the input and $Y(f)$ at the output, and |
− | * | + | *the equalization system $S_{\rm E}$ with the input spectrum $Y(f)$ and output spectrum $Z(f)$. |
− | + | The frequency responses of the two systems $S_{\rm V}$ and $S_{\rm E}$ are: | |
:$$H_{\rm V}(f) = \frac{Y(f)}{X(f)} , \hspace{0.3cm}$$ | :$$H_{\rm V}(f) = \frac{Y(f)}{X(f)} , \hspace{0.3cm}$$ | ||
:$$H_{\rm E}(f) = \frac{Z(f)}{Y(f)} .$$ | :$$H_{\rm E}(f) = \frac{Z(f)}{Y(f)} .$$ | ||
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− | '' | + | ''Please note:'' |
− | * | + | *The exercise belongs to the chapter [[Linear_and_Time_Invariant_Systems/Classification_of_the_Distortions|Classification of the Distortions]]. |
− | * | + | *A complete equalization means that $Z(f) = X(f)$ holds. |
− | === | + | ===Questions=== |
<quiz display=simple> | <quiz display=simple> | ||
− | { | + | {Is the constellation $X(f) = A(f)$ and $Y(f) = B(f)$ possible with a linear system? Justify your answer. |
|type="()"} | |type="()"} | ||
− | + | + | + Yes. |
− | - | + | - No. |
− | { | + | {$X(f) = A(f)$ and $Y(f) = B(f)$ still hold true. Is complete equalization possible with a linear filter $H_{\rm E}(f)$ ? <br>If YES, please specify $H_{\rm E}(f)$. |
|type="()"} | |type="()"} | ||
− | + | + | + Yes. |
− | - | + | - No. |
− | { | + | {Is the constellation $X(f) = C(f)$ and $Y(f) = B(f)$ possible with a linear system? Justify your answer. |
|type="()"} | |type="()"} | ||
− | + | + | + Yes. |
− | - | + | - No. |
− | { | + | {$X(f) = C(f)$ und $Y(f) = B(f)$ still hold true. Is complete equalization possible with a linear filter $H_{\rm E}(f)$ ? <br>If YES, please specify $H_{\rm E}(f)$ . |
|type="()"} | |type="()"} | ||
− | - | + | - Yes. |
− | + | + | + No. |
− | { | + | {Is the constellation $X(f) = A(f)$ and $Y(f) = C(f)$ possible with a linear system? <br>Justify your answer. |
|type="()"} | |type="()"} | ||
− | - | + | - Yes. |
− | + | + | + No. |
</quiz> | </quiz> | ||
− | === | + | ===Solution=== |
{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' | + | '''(1)''' <u>Yes</u> is correct: |
− | * | + | *This constellation is possible because $X(f)$ is also always different from zero for all $Y(f) \ne 0$ . |
− | * | + | *For all frequencies less than $0.5 \ \rm kHz$ , $H_{\rm V} = B(f)/A(f) < 1$ causes an attenuation. |
− | * | + | *In contrast, the frequencies between $0.5 \ \rm kHz$ and $1 \ \rm kHz$ are amplified by the system. |
− | '''(2)''' | + | '''(2)''' <u>Yes</u> is correct: |
− | * | + | *For this constellation, a complete linear equalization is also possible with |
:$$H_{\rm E}(f) = \frac{Z(f)}{Y(f)} = \frac{A(f)}{B(f)} = \frac{1}{H_{\rm V}(f)}$$ | :$$H_{\rm E}(f) = \frac{Z(f)}{Y(f)} = \frac{A(f)}{B(f)} = \frac{1}{H_{\rm V}(f)}$$ | ||
− | : | + | :since both spectra extend exactly up to $1 \ \rm kHz$ . |
− | '''(3)''' | + | '''(3)''' <u>Yes</u> is correct: |
− | * | + | *This constellation is possible, too. The filter $H_{\rm V}(f)$ must form a triangular spectrum for the frequencies $|f| <1 \ \rm kHz$ out of the Gaussian spectrum and suppress all frequencies $|f| > 1 \ \rm kHz$ . |
− | '''(4)''' | + | '''(4)''' <u>No</u> is correct: |
− | * | + | *A complete equalization is not possible here: |
− | * | + | *The parts of the Gaussian spectrum, which are completely eliminated by $H_{\rm V}(f)$ , cannot be recovered by the linear system. |
− | '''(5)''' | + | '''(5)''' <u>No</u> is correct: |
− | * | + | *This constellation is not possible with a linear system since there cannot be any spectral components included in the spectrum $C(f) = A(f) \cdot H_{\rm V}(f)$ that do not exist in $A(f)$ . |
− | * | + | *The question whether there is a non-linear system which forms a Gaussian spectrum out of the $\cos^2$-spectrum is not asked and therefore does not need to be answered: The authors rather believe "no". |
{{ML-Fuß}} | {{ML-Fuß}} | ||
− | [[Category:Linear and Time-Invariant Systems: Exercises|^2.1 | + | [[Category:Linear and Time-Invariant Systems: Exercises|^2.1 Classification of the Distortions^]] |
Latest revision as of 13:50, 21 September 2021
Three continuous spectral functions are depicted in the graph:
- a cos2–spectrum that has components only in the range $|f| < 1 \ \rm kHz$ where the following holds:
- $$A(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot \cos^2(\frac{|f|}{1 \, \rm kHz} \cdot \frac{\pi}{ 2} ) ,$$
- a triangular spectrum which is also limited to the frequency range $|f| < 1 \ \rm kHz$:
- $$B(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot \left(1-\frac{|f|}{1 \, \rm kHz} \right),$$
- a so-called Gaussian spectrum:
- $$C(f) = 10^{\rm -3} \ {\rm V}/{\rm Hz} \cdot {\rm e}^{-\pi \hspace{0.05cm}\cdot \hspace{0.05cm} (f/{1 \, \rm kHz})^2} .$$
Furthermore, we consider
- a linearly distorting system $S_{\rm V}$ with $X(f)$ at the input and $Y(f)$ at the output, and
- the equalization system $S_{\rm E}$ with the input spectrum $Y(f)$ and output spectrum $Z(f)$.
The frequency responses of the two systems $S_{\rm V}$ and $S_{\rm E}$ are:
- $$H_{\rm V}(f) = \frac{Y(f)}{X(f)} , \hspace{0.3cm}$$
- $$H_{\rm E}(f) = \frac{Z(f)}{Y(f)} .$$
Please note:
- The exercise belongs to the chapter Classification of the Distortions.
- A complete equalization means that $Z(f) = X(f)$ holds.
Questions
Solution
(1) Yes is correct:
- This constellation is possible because $X(f)$ is also always different from zero for all $Y(f) \ne 0$ .
- For all frequencies less than $0.5 \ \rm kHz$ , $H_{\rm V} = B(f)/A(f) < 1$ causes an attenuation.
- In contrast, the frequencies between $0.5 \ \rm kHz$ and $1 \ \rm kHz$ are amplified by the system.
(2) Yes is correct:
- For this constellation, a complete linear equalization is also possible with
- $$H_{\rm E}(f) = \frac{Z(f)}{Y(f)} = \frac{A(f)}{B(f)} = \frac{1}{H_{\rm V}(f)}$$
- since both spectra extend exactly up to $1 \ \rm kHz$ .
(3) Yes is correct:
- This constellation is possible, too. The filter $H_{\rm V}(f)$ must form a triangular spectrum for the frequencies $|f| <1 \ \rm kHz$ out of the Gaussian spectrum and suppress all frequencies $|f| > 1 \ \rm kHz$ .
(4) No is correct:
- A complete equalization is not possible here:
- The parts of the Gaussian spectrum, which are completely eliminated by $H_{\rm V}(f)$ , cannot be recovered by the linear system.
(5) No is correct:
- This constellation is not possible with a linear system since there cannot be any spectral components included in the spectrum $C(f) = A(f) \cdot H_{\rm V}(f)$ that do not exist in $A(f)$ .
- The question whether there is a non-linear system which forms a Gaussian spectrum out of the $\cos^2$-spectrum is not asked and therefore does not need to be answered: The authors rather believe "no".