Aufgaben:Exercise 4.3Z: Hilbert Transformator: Difference between revisions
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'''(1)''' For the spectral function at the model output holds: | '''(1)''' For the spectral function at the model output holds: | ||
:$$X_{\rm +}(f)= \left(1 + {\rm j}\cdot H_{\rm HT}(f)\right) \ | :$$X_{\rm +}(f)= \left(1 + {\rm j}\cdot H_{\rm HT}(f)\right) \cdotX(f).$$ | ||
*A comparison with the given relation | *A comparison with the given relation | ||
:$$X_{\rm +}(f)= \left(1 + {\ | :$$X_{\rm +}(f)= \left(1 + {\rmsign}(f)\right) \cdot X(f)$$ | ||
:shows that $H_{\rm HT}(f) = - {\rm j} \cdot \sign(f)$. | :shows that $H_{\rm HT}(f) = - {\rm j} \cdot \sign(f)$. | ||
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'''(2)''' From the spectral function | '''(2)''' From the spectral function | ||
:$$X_1(f) = {A}/{2}\cdot\delta (f + f_{0})+ | :$$X_1(f) = {A}/{2}\cdot\delta (f + f_{0})+{A}/{2}\cdot\delta (f - f_{0}).$$ | ||
{A}/{2}\cdot\delta (f - f_{0}).$$ | |||
:becomes according to the Hilbert transformer: | :becomes according to the Hilbert transformer: | ||
:$$Y_1(f) = {\rm j}\cdot {A}/{2}\cdot\delta (f + f_{0})-{\ | :$$Y_1(f) = {\rm j}\cdot {A}/{2}\cdot\delta (f + f_{0})-{\rmj}\cdot {A}/{2}\cdot\delta (f - f_{0}).$$ | ||
*Thus the signal at the output of the Hilbert transformer is: | *Thus the signal at the output of the Hilbert transformer is: | ||
:$$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}.$$ | :$$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}.$$ | ||
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'''(3)''' Now the spectral functions at the input and output of the Hilbert transformer are: | '''(3)''' Now the spectral functions at the input and output of the Hilbert transformer are: | ||
:$$X_2(f) = {\rm j}\cdot {A}/{2}\cdot\delta (f + f_{0})-{\ | :$$X_2(f) = {\rm j}\cdot {A}/{2}\cdot\delta (f + f_{0})-{\rmj}\cdot {A}/{2}\cdot\delta (f - f_{0}),$$ | ||
:$$Y_2(f) = -{A}/{2}\cdot\delta (f + f_{0})-{A}/{2}\cdot\delta (f - f_{0}).$$ | |||
:$$Y_2(f) = -{A}/{2}\cdot\delta (f + f_{0})- | |||
{A}/{2}\cdot\delta (f - f_{0}).$$ | |||
*It follows that $y_2(t) = - A \cdot \cos(2\pi f_0 t)$ and $y_2(t = 0)\; \underline{= -\hspace{-0.08cm}1 \,\text{V}}$. | *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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'''(4)''' This input signal can also be represented as follows: | '''(4)''' This input signal can also be represented as follows: | ||
:$$x_3(t) = A \cdot {\cos} ( 2 \pi f_0 t - | :$$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).$$ | ||
A \cdot {\cos} ( 2 \pi f_0 t - \pi/4)\hspace{0.3cm} | |||
\Rightarrow \hspace{0.3cm}y_3(t) = A \cdot {\cos} ( 2 \pi f_0 t - 3\pi/4).$$ | |||
*The signal phase is thus $\varphi = \pi /4$. | *The 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 $\varphi_{\rm HT} \; \underline{= 90^\circ} \; (\pi /2)$. | ||
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'''(5)''' The spectral function of the signal $x_3(t)$ is: | '''(5)''' The spectral function of the signal $x_3(t)$ is: | ||
:$$X_3(f) = {A_0}/{2} \cdot {\rm e}^{{\rm j} \varphi}\cdot\delta | :$$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}) .$$ | ||
(f + f_{\rm 0}) + {A_0}/{2} \cdot {\rm e}^{-{\rm j} | |||
\varphi}\cdot\delta (f - f_{\rm 0}) .$$ | |||
*For the analytical signal, the first component disappears and the component at $+f_0$ is doubled: | *For the analytical signal, the first component disappears and the component at $+f_0$ is doubled: | ||
:$$X_{3+}(f) = {A_0} \cdot {\rm e}^{-{\rm j} \varphi}\cdot\delta (f | :$$X_{3+}(f) = {A_0} \cdot {\rm e}^{-{\rm j} \varphi}\cdot\delta (f- f_{\rm 0}) .$$ | ||
- f_{\rm 0}) .$$ | |||
*By applying the "Shifting Theorem" , the associated time function with $\varphi = \pi /4$ is: | *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)}.$$ | ||
\hspace{0.05cm}-\hspace{0.05cm} \varphi)}.$$ | |||
*Specifically, for time $t = 0$: | *Specifically, for time $t = 0$: | ||
:$$x_{3+}(t = 0) = A_0 \cdot {\rm e}^{-{\rm j} \hspace{0.05cm} | :$$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}-{\rmj}\cdot {\rm 0.707 \hspace{0.05cm} V}}.$$ | ||
\varphi} = A_0 \cdot{\cos} ( 45^\circ)-{\rm j}\cdot A_0 | |||
\cdot{\sin} ( 45^\circ)= \hspace{0.15 cm}\underline{{\rm 0.707 \hspace{0.05cm} V}-{\ | |||
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*To get from $x(t)$ to $x_+(t)$, just replace the cosine function with the complex exponential function. | *To get from $x(t)$ to $x_+(t)$, just replace the cosine function with the complex exponential function. | ||
*For example, the following applies to a harmonic oscillation: | *For example, the following applies to a harmonic oscillation: | ||
:$$x(t) = A \cdot {\cos} ( 2 \pi f_0 t | :$$x(t) = A \cdot {\cos} ( 2 \pi f_0 t-\hspace{0.05cm} \varphi) \hspace{0.3cm} \Rightarrow \hspace{0.3cm} x_{+}(t) = A \cdot {\rm e}^{{\rm j}( 2 \pi f_{\rm 0} t\hspace{0.05cm}-\hspace{0.05cm} \varphi)}.$$ | ||
-\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)}.$$ | |||
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Revision as of 15:48, 16 March 2026

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:
- $$X_{\rm +}(f)= \left(1 + {\rm j}\cdot H_{\rm HT}(f)\right) \cdotX(f).$$
- A comparison with the given relation
- $$X_{\rm +}(f)= \left(1 + {\rmsign}(f)\right) \cdot X(f)$$
- 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:
- $$Y_1(f) = {\rm j}\cdot {A}/{2}\cdot\delta (f + f_{0})-{\rmj}\cdot {A}/{2}\cdot\delta (f - f_{0}).$$
- 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:
- $$X_2(f) = {\rm j}\cdot {A}/{2}\cdot\delta (f + f_{0})-{\rmj}\cdot {A}/{2}\cdot\delta (f - f_{0}),$$
- $$Y_2(f) = -{A}/{2}\cdot\delta (f + f_{0})-{A}/{2}\cdot\delta (f - f_{0}).$$
- 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 $t = 0$:
- $$x_{3+}(t = 0) = A_0 \cdot {\rm e}^{-{\rm j} \hspace{0.05cm}\varphi} = A_0 \cdot{\cos} ( 45^\circ)-{\rm j}\cdot A_0\cdot{\sin} ( 45^\circ)= \hspace{0.15 cm}\underline{{\rm 0.707 \hspace{0.05cm} V}-{\rmj}\cdot {\rm 0.707 \hspace{0.05cm} V}}.$$
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:
- $$x(t) = A \cdot {\cos} ( 2 \pi f_0 t-\hspace{0.05cm} \varphi) \hspace{0.3cm} \Rightarrow \hspace{0.3cm} x_{+}(t) = A \cdot {\rm e}^{{\rm j}( 2 \pi f_{\rm 0} t\hspace{0.05cm}-\hspace{0.05cm} \varphi)}.$$