Difference between revisions of "Aufgaben:Exercise 3.4: Trapezoidal Spectrum and Pulse"
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− | [[File:P_ID508__Sig_A_3_4.png|250px|right|frame| | + | [[File:P_ID508__Sig_A_3_4.png|250px|right|frame|Trapezoidal spectrum & trapezoidal pulse]] |
We consider here a trapezoidal spectral function $X(f)$ according to the upper graph, which is completely described by the three parameters $X_0$, $f_1$ and $f_2$. For the two corner frequencies, $f_2 > 0$ and $0 \leq f_1 \leq f_2$ always apply. | We consider here a trapezoidal spectral function $X(f)$ according to the upper graph, which is completely described by the three parameters $X_0$, $f_1$ and $f_2$. For the two corner frequencies, $f_2 > 0$ and $0 \leq f_1 \leq f_2$ always apply. | ||
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:$$\Delta f = f_1 + f_2,$$ | :$$\Delta f = f_1 + f_2,$$ | ||
*the so-called [[Linear_and_Time_Invariant_Systems/Einige_systemtheoretische_Tiefpassfunktionen#Trapez.E2.80.93Tiefpass|rolloff factor]] (in the frequency domain): | *the so-called [[Linear_and_Time_Invariant_Systems/Einige_systemtheoretische_Tiefpassfunktionen#Trapez.E2.80.93Tiefpass|rolloff factor]] (in the frequency domain): | ||
− | :$$ | + | :$$r_{\hspace{-0.05cm}f} = \frac{ {f_2 - f_1 }}{ {f_2 + f_1 }}.$$ |
With these quantities, the associated time function (see middle graph) is: | With these quantities, the associated time function (see middle graph) is: | ||
− | :$$x( t ) = X_0 \cdot \Delta f \cdot {\mathop{\rm si}\nolimits} ( { {\rm \pi} \cdot \Delta f \cdot t} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm \pi} \cdot | + | :$$x( t ) = X_0 \cdot \Delta f \cdot {\mathop{\rm si}\nolimits} ( { {\rm \pi} \cdot \Delta f \cdot t} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm \pi} \cdot r_{\hspace{-0.05cm}f} \cdot \Delta f\cdot t} ).$$ |
Here $\text{si}(x) = \text{sin}(x)/x$ is the so-called "splitting function". | Here $\text{si}(x) = \text{sin}(x)/x$ is the so-called "splitting function". | ||
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*the rolloff factor (in the time domain) with comparable definition as $r_f$: | *the rolloff factor (in the time domain) with comparable definition as $r_f$: | ||
− | :$$ | + | :$$r_{\hspace{-0.05cm}t} = \frac{ {t_2 - t_1 }}{ {t_2 + t_1 }}.$$ |
Let be $y_0 = 4\,\text{V}$, $\Delta t = 1\,\text{ms}$ and $r_t = 0.5$. | Let be $y_0 = 4\,\text{V}$, $\Delta t = 1\,\text{ms}$ and $r_t = 0.5$. | ||
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|type="{}"} | |type="{}"} | ||
$\Delta f \ = \ $ { 4 3% } $\text{kHz}$ | $\Delta f \ = \ $ { 4 3% } $\text{kHz}$ | ||
− | $ | + | $r_{\hspace{-0.05cm}f} \hspace{0.35cm} = \ $ { 0.5 3% } |
{What are the signal values of $x(t)$ at $t = 0$, $t = T$ and $t = T/2$? | {What are the signal values of $x(t)$ at $t = 0$, $t = T$ and $t = T/2$? | ||
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{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' The equivalent bandwidth is by definition equal to the width of the equal-area rectangle: | + | '''(1)''' The equivalent bandwidth is (by definition) equal to the width of the equal-area rectangle: |
:$$\Delta f = f_1 + f_2 \hspace{0.15 cm}\underline{= 4\;{\rm{kHz}}}{\rm{.}}$$ | :$$\Delta f = f_1 + f_2 \hspace{0.15 cm}\underline{= 4\;{\rm{kHz}}}{\rm{.}}$$ | ||
*For the rolloff factor holds: | *For the rolloff factor holds: | ||
− | :$${ { | + | :$${ {r_{\hspace{-0.05cm}f} = }}\frac{ {f_2 - f_1 }}{ {f_2 + f_1 }}\hspace{0.15 cm}\underline{ = 0.5}.$$ |
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:$$x( {t = T} ) = x_0 \cdot {\mathop{\rm si}\nolimits} ( {\rm{\pi }} ) \cdot {\mathop{\rm si}\nolimits} ( { { {\rm{\pi }}}/{2}} )\hspace{0.15 cm}\underline{ = 0}.$$ | :$$x( {t = T} ) = x_0 \cdot {\mathop{\rm si}\nolimits} ( {\rm{\pi }} ) \cdot {\mathop{\rm si}\nolimits} ( { { {\rm{\pi }}}/{2}} )\hspace{0.15 cm}\underline{ = 0}.$$ | ||
− | *Also at all multiples of $T$ $x(t)$ exhibits zero crossings. At time $t = T/2$ holds: | + | *Also at all multiples of $T$: $x(t)$ exhibits zero crossings. At time $t = T/2$ holds: |
:$$x( {t = T/2} ) = x_0 \cdot {\mathop{\rm si}\nolimits} ( { { {\rm{\pi }}}/{2}} ) \cdot {\mathop{\rm si}\nolimits}( { { {\rm{\pi }}}/{4}} ) = x_0 \cdot \frac{ { 1 \cdot \sqrt 2 /2}}{ { {\rm{\pi /}}2 \cdot {\rm{\pi /4}}}} = x_0 \cdot \frac{ {4 \cdot \sqrt 2 }}{ { {\rm{\pi }}^{\rm{2}} }} \hspace{0.15 cm}\underline{= 2.293\;{\rm{V}}}{\rm{.}}$$ | :$$x( {t = T/2} ) = x_0 \cdot {\mathop{\rm si}\nolimits} ( { { {\rm{\pi }}}/{2}} ) \cdot {\mathop{\rm si}\nolimits}( { { {\rm{\pi }}}/{4}} ) = x_0 \cdot \frac{ { 1 \cdot \sqrt 2 /2}}{ { {\rm{\pi /}}2 \cdot {\rm{\pi /4}}}} = x_0 \cdot \frac{ {4 \cdot \sqrt 2 }}{ { {\rm{\pi }}^{\rm{2}} }} \hspace{0.15 cm}\underline{= 2.293\;{\rm{V}}}{\rm{.}}$$ | ||
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:$$x( t ) = X_0 \cdot \Delta f \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot \Delta f \cdot t} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot r_f \cdot \Delta f \cdot t} ).$$ | :$$x( t ) = X_0 \cdot \Delta f \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot \Delta f \cdot t} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot r_f \cdot \Delta f \cdot t} ).$$ | ||
− | *Since both $X(f)$ and $x(t)$ are real and, moreover, $y(t)$ is of the same form as $X(f)$ | + | *Since both $X(f)$ and $x(t)$ are real and, moreover, $y(t)$ is of the same form as $X(f),$ we obtain, taking into account all equivalences for the spectral function of the trapezoidal pulse: |
:$$Y( f ) = y_0 \cdot \Delta t \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot \Delta t \cdot f} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot r_t \cdot \Delta t \cdot f} ).$$ | :$$Y( f ) = y_0 \cdot \Delta t \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot \Delta t \cdot f} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot r_t \cdot \Delta t \cdot f} ).$$ |
Latest revision as of 14:17, 24 May 2021
We consider here a trapezoidal spectral function $X(f)$ according to the upper graph, which is completely described by the three parameters $X_0$, $f_1$ and $f_2$. For the two corner frequencies, $f_2 > 0$ and $0 \leq f_1 \leq f_2$ always apply.
Instead of the corner frequencies $f_1$ and $f_2$ , the following two descriptive variables can also be used:
- the equivalent bandwidth:
- $$\Delta f = f_1 + f_2,$$
- the so-called rolloff factor (in the frequency domain):
- $$r_{\hspace{-0.05cm}f} = \frac{ {f_2 - f_1 }}{ {f_2 + f_1 }}.$$
With these quantities, the associated time function (see middle graph) is:
- $$x( t ) = X_0 \cdot \Delta f \cdot {\mathop{\rm si}\nolimits} ( { {\rm \pi} \cdot \Delta f \cdot t} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm \pi} \cdot r_{\hspace{-0.05cm}f} \cdot \Delta f\cdot t} ).$$
Here $\text{si}(x) = \text{sin}(x)/x$ is the so-called "splitting function".
In this example, the numerical values $X_0 = 10^{–3}\,\text{V/Hz}$, $f_1 = 1\,\text{kHz}$ and $f_2 = 3\,\text{kHz}$ are to be used. The time $T = 1/\Delta f$ is only used for normative purpose.
In the subtask (3) a trapezoidal signal $y(t)$ is considered, which is identical in shape to the spectrum $X(f)$.
The following can be used here as descriptive variables:
- the pulse amplitude $y_0 = y(t = 0)$,
- the equivalent pulse duration (defined via the rectangle–in–time with the same area):
- $$\Delta t = t_1 + t_2,$$
- the rolloff factor (in the time domain) with comparable definition as $r_f$:
- $$r_{\hspace{-0.05cm}t} = \frac{ {t_2 - t_1 }}{ {t_2 + t_1 }}.$$
Let be $y_0 = 4\,\text{V}$, $\Delta t = 1\,\text{ms}$ and $r_t = 0.5$.
Hints:
- This exercise belongs to the chapter Fourier Transform Theorems.
- Use the Duality Theorem and the Similarity Theorem.
- You can check your results using the two interactive applets
Questions
Solution
- $$\Delta f = f_1 + f_2 \hspace{0.15 cm}\underline{= 4\;{\rm{kHz}}}{\rm{.}}$$
- For the rolloff factor holds:
- $${ {r_{\hspace{-0.05cm}f} = }}\frac{ {f_2 - f_1 }}{ {f_2 + f_1 }}\hspace{0.15 cm}\underline{ = 0.5}.$$
(2) The maximum value of the pulse $x(t)$ occurs at time $t = 0$ :
- $$x_0 = x(t = 0) = X_0 \cdot \Delta f \hspace{0.15 cm}\underline{= 4\, \text{V}}.$$
- At time $t = T = 1/\Delta f$ applies due to $\text{si}(\pi) = 0$:
- $$x( {t = T} ) = x_0 \cdot {\mathop{\rm si}\nolimits} ( {\rm{\pi }} ) \cdot {\mathop{\rm si}\nolimits} ( { { {\rm{\pi }}}/{2}} )\hspace{0.15 cm}\underline{ = 0}.$$
- Also at all multiples of $T$: $x(t)$ exhibits zero crossings. At time $t = T/2$ holds:
- $$x( {t = T/2} ) = x_0 \cdot {\mathop{\rm si}\nolimits} ( { { {\rm{\pi }}}/{2}} ) \cdot {\mathop{\rm si}\nolimits}( { { {\rm{\pi }}}/{4}} ) = x_0 \cdot \frac{ { 1 \cdot \sqrt 2 /2}}{ { {\rm{\pi /}}2 \cdot {\rm{\pi /4}}}} = x_0 \cdot \frac{ {4 \cdot \sqrt 2 }}{ { {\rm{\pi }}^{\rm{2}} }} \hspace{0.15 cm}\underline{= 2.293\;{\rm{V}}}{\rm{.}}$$
(3) The time function associated with the trapezoidal spectrum $X(f)$ is according to the specification:
- $$x( t ) = X_0 \cdot \Delta f \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot \Delta f \cdot t} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot r_f \cdot \Delta f \cdot t} ).$$
- Since both $X(f)$ and $x(t)$ are real and, moreover, $y(t)$ is of the same form as $X(f),$ we obtain, taking into account all equivalences for the spectral function of the trapezoidal pulse:
- $$Y( f ) = y_0 \cdot \Delta t \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot \Delta t \cdot f} ) \cdot {\mathop{\rm si}\nolimits} ( { {\rm{\pi }} \cdot r_t \cdot \Delta t \cdot f} ).$$
- In particular, holds:
- $$Y( {f = 0} ) = y_0 \cdot \Delta t \hspace{0.15 cm}\underline{= 4 \;{\rm{mV/Hz}}}{\rm{,}}$$
- $$Y( {f = 0.5\;{\rm{kHz}}} ) = y_0 \cdot \Delta t \cdot {\mathop{\rm si}\nolimits} ( {{ {\rm{\pi }}}/{2}} ) \cdot {\mathop{\rm si}\nolimits} ( {{ {\rm{\pi }}}/{4}} ) \hspace{0.15 cm}\underline{= 2.293 \;{\rm{mV/Hz}}}{\rm{,}}$$
- $$Y( {f = 1\;{\rm{kHz}}} ) = y_0 \cdot \Delta t \cdot {\mathop{\rm si}\nolimits} ( {\rm{\pi }} ) \cdot {\mathop{\rm si}\nolimits} ( {{ {\rm{\pi }}}/{2}} )\hspace{0.15 cm}\underline{ = 0}\;{\rm{.}}$$
(4) The spectral value at frequency $f = 0$ is not changed:
- $$Y_0 = y_0 \cdot \Delta t \hspace{0.15 cm}\underline{= 4 \,\rm{mV/Hz}}.$$
- But since the time function is now only half as wide, the spectrum widens by a factor of $2$:
- $$Y( {f = 1\;{\rm{kHz}}} ) = Y_0 \cdot {\mathop{\rm si}\nolimits} ( {{ {\rm{\pi }}}/{2}} ) \cdot {\mathop{\rm si}\nolimits} ( {{ {\rm{\pi }}}/{4}} ) \hspace{0.15 cm}\underline{= 2.293\,{\rm{mV/Hz}}}{\rm{.}}$$
- In subtask (3) this spectral value occurred at the frequency $f = 0.5\,\rm{kHz}$ .