Difference between revisions of "Aufgaben:Exercise 4.3Z: Hilbert Transformator"
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− | [[File:P_ID717__Sig_Z_4_3_neu.png|right|frame|Hilbert | + | [[File:P_ID717__Sig_Z_4_3_neu.png|right|frame|Hilbert transformator ]] |
− | The diagram describes a model of how, at least mentally | + | The diagram describes a model of how, at least mentally, |
− | * | + | *the analytical signal $x_{+}(t)$ can be generated, |
− | *the | + | *from the real band-pass signal $x(t)$. |
+ | |||
+ | The lower branch contains the so-called "Hilbert transformer" with the frequency response $H_{\rm HT}(f)$. | ||
− | + | Its output signal $y(t)$ is multiplied by the imaginary unit $\rm j$ and added to the signal $x(t)$ : | |
− | |||
− | |||
:$$x_{\rm +}(t)= x(t) + {\rm j}\cdot y(t) .$$ | :$$x_{\rm +}(t)= x(t) + {\rm j}\cdot y(t) .$$ | ||
As test signals are used, each with $A = 1 \, \text{V}$ and $f_0 = 10 \, \text{kHz}$: | As test signals are used, each with $A = 1 \, \text{V}$ and $f_0 = 10 \, \text{kHz}$: | ||
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:$$x_2(t) = A \cdot {\sin} ( 2 \pi f_0 t ),$$ | :$$x_2(t) = A \cdot {\sin} ( 2 \pi f_0 t ),$$ | ||
:$$x_3(t) = A \cdot {\cos} \big( 2 \pi f_0 (t - \tau) \big) \hspace{0.3cm}{\rm with}\hspace{0.3cm}\tau = 12.5 \hspace{0.1cm}{\rm µ s}.$$ | :$$x_3(t) = A \cdot {\cos} \big( 2 \pi f_0 (t - \tau) \big) \hspace{0.3cm}{\rm with}\hspace{0.3cm}\tau = 12.5 \hspace{0.1cm}{\rm µ s}.$$ | ||
− | |||
− | |||
− | |||
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''Hints:'' | ''Hints:'' | ||
− | *This exercise belongs to the | + | *This exercise belongs to the chapter [[Signal_Representation/Analytical_Signal_and_Its_Spectral_Function|Analytical Signal and its Spectral Function]]. |
*The following applies to the spectral function of the analytical signal: | *The following applies to the spectral function of the analytical signal: | ||
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<quiz display=simple> | <quiz display=simple> | ||
− | {Calculate the frequency response $H_{HT}(f)$ of the Hilbert transformer. Which value is valid for the frequency $f_0 = 10 \text{ kHz}$? | + | {Calculate the frequency response $H_{\rm HT}(f)$ of the Hilbert transformer. Which value is valid for the frequency $f_0 = 10 \text{ kHz}$? |
|type="{}"} | |type="{}"} | ||
$\text{Re}[H_{\rm HT}(f = f_0)]\ = \ $ { 0. } | $\text{Re}[H_{\rm HT}(f = f_0)]\ = \ $ { 0. } | ||
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− | {What is the Hilbert transform $y_1(t)$ for the input signal $x_1(t)$? In particular, what value results at $t = 0$? | + | {What is the Hilbert transform $y_1(t)$ for the input signal $x_1(t)$? In particular, what value results at $t = 0$? |
|type="{}"} | |type="{}"} | ||
$y_1(t = 0)\ = \ $ { 0. } $\rm V$ | $y_1(t = 0)\ = \ $ { 0. } $\rm V$ | ||
− | {What is the Hilbert transform $y_2(t)$ for the input signal $x_2(t)$? Which value results in particular at $t = 0$? | + | {What is the Hilbert transform $y_2(t)$ for the input signal $x_2(t)$? Which value results in particular at $t = 0$? |
|type="{}"} | |type="{}"} | ||
$y_2(t = 0)\ = \ $ { -1.03--0.97 } $\rm V$ | $y_2(t = 0)\ = \ $ { -1.03--0.97 } $\rm V$ | ||
− | {What is the Hilbert transform $y_3(t)$ for the input signal $x_3(t)$? What value results for $t=0$? | + | {What is the Hilbert transform $y_3(t)$ for the input signal $x_3(t)$? What value results for $t=0$? What is the phase delay $\varphi_{\rm HT}$ of the Hilbert transformer? |
|type="{}"} | |type="{}"} | ||
$\varphi_{\rm HT}\ = \ $ { 90 3% } $\text{Grad}$ | $\varphi_{\rm HT}\ = \ $ { 90 3% } $\text{Grad}$ | ||
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− | {What is the analytical signal associated with $x_3(t)$ | + | {What is the analytical signal associated with $x_3(t)$? What are the values of the real and imaginary parts of this complex signal at time $t = 0$? |
|type="{}"} | |type="{}"} | ||
$\text{Re}[x_{3+}(t = 0)]\ = \ $ { 0.707 3% } $\text{V}$ | $\text{Re}[x_{3+}(t = 0)]\ = \ $ { 0.707 3% } $\text{V}$ | ||
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:$$X_{\rm +}(f)= \left(1 + {\rm | :$$X_{\rm +}(f)= \left(1 + {\rm | ||
sign}(f)\right) \cdot X(f)$$ | sign}(f)\right) \cdot X(f)$$ | ||
− | :shows that $H_{\rm HT}(f) = - {\rm j} \cdot \sign(f)$ | + | :shows that $H_{\rm HT}(f) = - {\rm j} \cdot \sign(f)$. |
*Thus, the real part we are looking for is ${\rm Re}[X_{\rm +}(f)]\hspace{0.15cm}\underline{=0}$ and the imaginary part is equal to ${\rm Im}[X_{\rm +}(f)]\hspace{0.15cm}\underline{=-1}$. | *Thus, the real part we are looking for is ${\rm Re}[X_{\rm +}(f)]\hspace{0.15cm}\underline{=0}$ and the imaginary part is equal to ${\rm Im}[X_{\rm +}(f)]\hspace{0.15cm}\underline{=-1}$. | ||
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:$$Y_2(f) = -{A}/{2}\cdot\delta (f + f_{0})- | :$$Y_2(f) = -{A}/{2}\cdot\delta (f + f_{0})- | ||
{A}/{2}\cdot\delta (f - f_{0}).$$ | {A}/{2}\cdot\delta (f - f_{0}).$$ | ||
− | *It follows that $y_2(t) = - A \cdot \cos(2\pi f_0 t)$ | + | *It follows that $y_2(t) = - A \cdot \cos(2\pi f_0 t)$ and $y_2(t = 0)\; \underline{= -\hspace{-0.08cm}1 \,\text{V}}$. |
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\Rightarrow \hspace{0.3cm}y_3(t) = A \cdot {\cos} ( 2 \pi f_0 t - 3\pi/4).$$ | \Rightarrow \hspace{0.3cm}y_3(t) = A \cdot {\cos} ( 2 \pi f_0 t - 3\pi/4).$$ | ||
*The signal phase is thus $\varphi = \pi /4$. | *The signal phase is thus $\varphi = \pi /4$. | ||
− | *The Hilbert transformer delays this by $\varphi_{\rm HT} \; \underline{= 90^\circ} \; (\pi /2)$ | + | *The Hilbert transformer delays this by $\varphi_{\rm HT} \; \underline{= 90^\circ} \; (\pi /2)$. |
*Therefore, the output signal $y_3(t) = A \cdot \cos(2\pi f_0 t -3 \pi /4)$ and the signal value at time $t = 0$ is $A \cdot \cos(135^\circ) \; \underline{= -0.707 \,\text{V}}$. | *Therefore, the output signal $y_3(t) = A \cdot \cos(2\pi f_0 t -3 \pi /4)$ and the signal value at time $t = 0$ is $A \cdot \cos(135^\circ) \; \underline{= -0.707 \,\text{V}}$. | ||
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:$$X_{3+}(f) = {A_0} \cdot {\rm e}^{-{\rm j} \varphi}\cdot\delta (f | :$$X_{3+}(f) = {A_0} \cdot {\rm e}^{-{\rm j} \varphi}\cdot\delta (f | ||
- f_{\rm 0}) .$$ | - f_{\rm 0}) .$$ | ||
− | *By applying the | + | *By applying the "Shifting Theorem" , the associated time function with $\varphi = \pi /4$ is: |
:$$x_{3+}(t) = A_0 \cdot {\rm e}^{{\rm j}( 2 \pi f_{\rm 0} t | :$$x_{3+}(t) = A_0 \cdot {\rm e}^{{\rm j}( 2 \pi f_{\rm 0} t | ||
\hspace{0.05cm}-\hspace{0.05cm} \varphi)}.$$ | \hspace{0.05cm}-\hspace{0.05cm} \varphi)}.$$ | ||
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\cdot{\sin} ( 45^\circ)= \hspace{0.15 cm}\underline{{\rm 0.707 \hspace{0.05cm} V}-{\rm | \cdot{\sin} ( 45^\circ)= \hspace{0.15 cm}\underline{{\rm 0.707 \hspace{0.05cm} V}-{\rm | ||
j}\cdot {\rm 0.707 \hspace{0.05cm} V}}.$$ | j}\cdot {\rm 0.707 \hspace{0.05cm} V}}.$$ | ||
+ | |||
''Hint'': | ''Hint'': | ||
− | *To get from $x(t)$ to $x_+(t)$ | + | *To get from $x(t)$ to $x_+(t)$, just replace the cosine function with the complex exponential function. |
*For example, the following applies to a harmonic oscillation: | *For example, the following applies to a harmonic oscillation: | ||
:$$x(t) = A \cdot {\cos} ( 2 \pi f_0 t | :$$x(t) = A \cdot {\cos} ( 2 \pi f_0 t | ||
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__NOEDITSECTION__ | __NOEDITSECTION__ | ||
− | [[Category:Signal Representation: Exercises|^4.2 Analytical Signal and | + | [[Category:Signal Representation: Exercises|^4.2 Analytical Signal and its Spectral Function^]] |
Latest revision as of 15:13, 24 May 2021
The diagram describes a model of how, at least mentally,
- the analytical signal $x_{+}(t)$ can be generated,
- from the real band-pass signal $x(t)$.
The lower branch contains the so-called "Hilbert transformer" with the frequency response $H_{\rm HT}(f)$.
Its output signal $y(t)$ is multiplied by the imaginary unit $\rm j$ and added to the signal $x(t)$ :
- $$x_{\rm +}(t)= x(t) + {\rm j}\cdot y(t) .$$
As test signals are used, each with $A = 1 \, \text{V}$ and $f_0 = 10 \, \text{kHz}$:
- $$x_1(t) = A \cdot {\cos} ( 2 \pi f_0 t ),$$
- $$x_2(t) = A \cdot {\sin} ( 2 \pi f_0 t ),$$
- $$x_3(t) = A \cdot {\cos} \big( 2 \pi f_0 (t - \tau) \big) \hspace{0.3cm}{\rm with}\hspace{0.3cm}\tau = 12.5 \hspace{0.1cm}{\rm µ s}.$$
Hints:
- This exercise belongs to the chapter Analytical Signal and its Spectral Function.
- The following applies to the spectral function of the analytical signal:
- $$ X_{\rm +}(f)= \big[1 + {\rm sign}(f)\big] \cdot X(f).$$
Questions
Solution
(1) For the spectral function at the model output holds:
- $$X_{\rm +}(f)= \left(1 + {\rm j}\cdot H_{\rm HT}(f)\right) \cdot X(f).$$
- A comparison with the given relation
- $$X_{\rm +}(f)= \left(1 + {\rm sign}(f)\right) \cdot X(f)$$
- shows that $H_{\rm HT}(f) = - {\rm j} \cdot \sign(f)$.
- Thus, the real part we are looking for is ${\rm Re}[X_{\rm +}(f)]\hspace{0.15cm}\underline{=0}$ and the imaginary part is equal to ${\rm Im}[X_{\rm +}(f)]\hspace{0.15cm}\underline{=-1}$.
(2) From the spectral function
- $$X_1(f) = {A}/{2}\cdot\delta (f + f_{0})+ {A}/{2}\cdot\delta (f - f_{0}).$$
- becomes according to the Hilbert transformer:
- $$Y_1(f) = {\rm j}\cdot {A}/{2}\cdot\delta (f + f_{0})-{\rm j}\cdot {A}/{2}\cdot\delta (f - f_{0}).$$
- Thus the signal at the output of the Hilbert transformer is:
- $$y_1(t) = A \cdot {\sin} ( 2 \pi f_0 t ) \hspace{0.3cm}\Rightarrow \hspace{0.3cm}y_1(t=0)\hspace{0.15 cm}\underline{ =0}.$$
(3) Now the spectral functions at the input and output of the Hilbert transformer are:
- $$X_2(f) = {\rm j}\cdot {A}/{2}\cdot\delta (f + f_{0})-{\rm j}\cdot {A}/{2}\cdot\delta (f - f_{0}),$$
- $$Y_2(f) = -{A}/{2}\cdot\delta (f + f_{0})- {A}/{2}\cdot\delta (f - f_{0}).$$
- It follows that $y_2(t) = - A \cdot \cos(2\pi f_0 t)$ and $y_2(t = 0)\; \underline{= -\hspace{-0.08cm}1 \,\text{V}}$.
(4) This input signal can also be represented as follows:
- $$x_3(t) = A \cdot {\cos} ( 2 \pi f_0 t - 2 \pi \cdot {\rm 10 \hspace{0.05cm} kHz}\cdot {\rm 0.0125 \hspace{0.05cm} ms}) = A \cdot {\cos} ( 2 \pi f_0 t - \pi/4)\hspace{0.3cm} \Rightarrow \hspace{0.3cm}y_3(t) = A \cdot {\cos} ( 2 \pi f_0 t - 3\pi/4).$$
- The signal phase is thus $\varphi = \pi /4$.
- The Hilbert transformer delays this by $\varphi_{\rm HT} \; \underline{= 90^\circ} \; (\pi /2)$.
- Therefore, the output signal $y_3(t) = A \cdot \cos(2\pi f_0 t -3 \pi /4)$ and the signal value at time $t = 0$ is $A \cdot \cos(135^\circ) \; \underline{= -0.707 \,\text{V}}$.
(5) The spectral function of the signal $x_3(t)$ is:
- $$X_3(f) = {A_0}/{2} \cdot {\rm e}^{{\rm j} \varphi}\cdot\delta (f + f_{\rm 0}) + {A_0}/{2} \cdot {\rm e}^{-{\rm j} \varphi}\cdot\delta (f - f_{\rm 0}) .$$
- For the analytical signal, the first component disappears and the component at $+f_0$ is doubled:
- $$X_{3+}(f) = {A_0} \cdot {\rm e}^{-{\rm j} \varphi}\cdot\delta (f - f_{\rm 0}) .$$
- By applying the "Shifting Theorem" , the associated time function with $\varphi = \pi /4$ is:
- $$x_{3+}(t) = A_0 \cdot {\rm e}^{{\rm j}( 2 \pi f_{\rm 0} t \hspace{0.05cm}-\hspace{0.05cm} \varphi)}.$$
- Specifically, for time $t = 0$:
- $$x_{3+}(t = 0) = A_0 \cdot {\rm e}^{-{\rm j} \hspace{0.05cm} \varphi} = A_0 \cdot{\cos} ( 45^\circ)-{\rm j}\cdot A_0 \cdot{\sin} ( 45^\circ)= \hspace{0.15 cm}\underline{{\rm 0.707 \hspace{0.05cm} V}-{\rm j}\cdot {\rm 0.707 \hspace{0.05cm} V}}.$$
Hint:
- To get from $x(t)$ to $x_+(t)$, just replace the cosine function with the complex exponential function.
- For example, the following applies to a harmonic oscillation:
- $$x(t) = A \cdot {\cos} ( 2 \pi f_0 t -\hspace{0.05cm} \varphi) \hspace{0.3cm} \Rightarrow \hspace{0.3cm} x_{+}(t) = A \cdot {\rm e}^{{\rm j}( 2 \pi f_{\rm 0} t \hspace{0.05cm}-\hspace{0.05cm} \varphi)}.$$