Difference between revisions of "Aufgaben:Exercise 3.5: Differentiation of a Triangular Pulse"
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− | {{quiz-Header|Buchseite= | + | {{quiz-Header|Buchseite=Signal_Representation/Fourier_Transform_Laws |
}} | }} | ||
− | [[File:P_ID514__Sig_A_3_5.png|250px|right|frame| | + | [[File:P_ID514__Sig_A_3_5.png|250px|right|frame|Triangular signal and <br>differentiated triangular signal]] |
− | + | We are looking for the spectrum Y(f) of the signal | |
− | :$$y\left( t \right) = \left\{ A−A0 \right.\quad \begin{array}{*{20}c} {{\rm{f | + | :$$y\left( t \right) = \left\{ A−A0 \right.\quad \begin{array}{*{20}c} {{\rm{f or}}} \\ {{\rm{for}}} \\ \\ \end{array}\;\begin{array}{*{20}c} { - T \le t < 0,} \\ {0 < t \le T,} \\ {{\rm{else}}{\rm{.}}} \\\end{array}$$ |
− | + | Let A=1V and T=0.5ms apply. | |
− | + | The Fourier transform of the triangular pulse x(t) sketched above is assumed to be known, namely | |
:X(f)=A⋅T⋅si2(πfT), | :X(f)=A⋅T⋅si2(πfT), | ||
− | + | where si(x)=sin(x)/x. | |
− | + | A comparison of the two signals shows that the following relationship exists between the functions x(t) and y(t) : | |
:y(t)=T⋅dx(t)dt. | :y(t)=T⋅dx(t)dt. | ||
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− | '' | + | ''Hints:'' |
− | * | + | *This task belongs to the chapter [[Signal_Representation/Fourier_Transform_Theorems|Fourier Transform Theorems]]. |
− | * | + | *All the laws presented here - including the [[Signal_Representation/Fourier_Transform_Laws#Shifting_Theorem|Shifting Theorem]] and the [[Signal_Representation/Fourier_Transform_Theorems#Differentiation_Theorem|Differentiation Theorem]] – are illustrated with examples in the (German language) learning video<br> [[Gesetzmäßigkeiten_der_Fouriertransformation_(Lernvideo)|Gesetzmäßigkeiten der Fouriertransformation]] ⇒ "Regularities to the Fourier transform". |
− | *In | + | *In subtask '''(3)''' the spectrum Y(f) is to be calculated starting from a symmetrical rectangular pulse r(t) with amplitude A and duration T and its spectrum R(f)=A⋅T⋅si(πfT) . This is achieved by applying the [[Signal_Representation/Fourier_Transform_Laws#Shifting_Theorem|Shifting Theorem]]. |
− | *In [[Aufgaben:3.5Z_Integration_von_Diracfunktionen| | + | *In [[Aufgaben:3.5Z_Integration_von_Diracfunktionen|Exercise 3.5Z]] the spectrum Y(f) is calculated starting from a signal consisting of three Dirac functions by applying the [[Signal_Representation/Fourier_Transform_Theorems#Integration_Theorem|Integration Theorem]]. |
− | === | + | ===Questions=== |
<quiz display=simple> | <quiz display=simple> | ||
− | { | + | {Calculate the spectral function Y(f) at the output. What is its magnitude at the frequencies f=0 and f=1 kHz? |
|type="{}"} | |type="{}"} | ||
|Y(f=0)|= { 0. } mV/Hz | |Y(f=0)|= { 0. } mV/Hz | ||
|Y(f=1 kHz)| = { 0.636 3% } mV/Hz | |Y(f=1 kHz)| = { 0.636 3% } mV/Hz | ||
− | { | + | {Which statements are true regarding the spectrum Y(f) ? |
|type="[]"} | |type="[]"} | ||
− | + | + | + The zeros of X(f) also remain in Y(f) . |
− | - | + | - For large f–values, Y(f) satisfies the same bound as X(f). |
− | + | + | + For large f–values, $|X(f)|$ is smaller than the magnitude spectrum of a rectangular pulse of duration T. |
− | { | + | {Calculate Y(f) starting from the rectangular pulse by applying the displacement theorem. Which statement is true here? |
|type="()"} | |type="()"} | ||
− | + | + | + The differentiation theorem leads to the result more quickly. |
− | - | + | - The shifting theorem leads to the result more quickly. |
</quiz> | </quiz> | ||
− | === | + | ===Solution=== |
{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' | + | '''(1)''' The differentiation theorem reads generally: |
:dx(t)dt∘−−−∙j2πf⋅X(f). | :dx(t)dt∘−−−∙j2πf⋅X(f). | ||
− | * | + | *Applied to the present example, one obtains: |
:Y(f)=T⋅j⋅2πf⋅A⋅T⋅sin2(πfT)(πfT)2=j⋅2⋅A⋅T⋅sin2(πfT)πfT. | :Y(f)=T⋅j⋅2πf⋅A⋅T⋅sin2(πfT)(πfT)2=j⋅2⋅A⋅T⋅sin2(πfT)πfT. | ||
− | * | + | *This function is purely imaginary. At the frequency f=0 the imaginary part also disappears. This can be formally proven, for example, by applying l'Hospital's rule ⇒ Y(f=0)=0_. |
− | * | + | *However, the result also follows from the fact that the spectral value at f=0 is equal to the integral over the time function y(t) . |
− | * | + | *At the normalised frequency f⋅T=0.5 (i.e for f=1 kHz) the sine function is equal to 1 and we obtain |Y(f=1kHz)|=4/π⋅A⋅T, i.e. approximately |Y(f=1 kHz)| =0.636 mV/Hz_ (positive imaginary). |
− | '''(2)''' | + | '''(2)''' The correct solutions are <u>1 and 3</u>: |
− | * | + | *The zeros of X(f) remain and there is another zero at the frequency f=0. |
− | * | + | *The upper bound is called the asymptotic curve |
:|Ymax | :\left| {Y_{\max }( f )} \right| = \frac{2A}{{{\rm{\pi }} \cdot |f|}} \ge \left| {Y( f )} \right|. | ||
− | * | + | *For the frequencies at which the sine function delivers the values \pm 1 , |Y_{\text{max}}(f)| and |Y(f)| are identical. |
− | * | + | *For the rectangular pulse of same amplitude A the corresponding bound is A/(\pi \cdot |f|). |
− | * | + | *In contrast, the spectrum X(f) of the triangular pulse falls asymptotically faster: |
:\left| {X_{\max }( f )} \right| = \frac{A}{{{\rm{\pi }}^{\rm{2}} f^2 T}} \ge \left| {X( f )} \right|. | :\left| {X_{\max }( f )} \right| = \frac{A}{{{\rm{\pi }}^{\rm{2}} f^2 T}} \ge \left| {X( f )} \right|. | ||
− | * | + | *This is due to the fact that x(t) has no discontinuity points. |
− | '''(3)''' | + | '''(3)''' Starting from a symmetrical rectangular pulse r(t) with amplitude A and duration T the signal y(t) can also be represented as follows: |
:y(t) = r( {t + T/2} ) - r( {t - T/2} ). | :y(t) = r( {t + T/2} ) - r( {t - T/2} ). | ||
− | * | + | *By applying the shifting theorem twice, one obtains: |
:Y( f ) = R( f ) \cdot {\rm{e}}^{{\rm{j\pi }}fT} - R( f ) \cdot {\rm{e}}^{ - {\rm{j\pi }}fT} . | :Y( f ) = R( f ) \cdot {\rm{e}}^{{\rm{j\pi }}fT} - R( f ) \cdot {\rm{e}}^{ - {\rm{j\pi }}fT} . | ||
− | * | + | *Using the relation \text{e}^{\text{j}x} – \text{e}^{–\text{j}x} = 2\text{j} \cdot \text{sin}(x) it is also possible to write for this: |
:Y( f ) = 2{\rm{j}} \cdot A \cdot T \cdot {\mathop{\rm si}\nolimits}( {{\rm{\pi }}fT} ) \cdot \sin ( {{\rm{\pi }}fT} ). | :Y( f ) = 2{\rm{j}} \cdot A \cdot T \cdot {\mathop{\rm si}\nolimits}( {{\rm{\pi }}fT} ) \cdot \sin ( {{\rm{\pi }}fT} ). | ||
− | * | + | *Consequently, the result is the same as in subtask '''(1)'''. |
− | * | + | *Which way leads faster to the result, everyone must decide for himself. The author thinks that the first way is somewhat more favourable. |
− | *<u> | + | *<u>Subjectively, we decide in favour of solution suggestion 1</u>. |
{{ML-Fuß}} | {{ML-Fuß}} | ||
__NOEDITSECTION__ | __NOEDITSECTION__ | ||
− | [[Category: | + | [[Category:Signal Representation: Exercises|^3.3 Fourier Transform Theorems^]] |
Latest revision as of 15:19, 24 May 2021
We are looking for the spectrum Y(f) of the signal
- y\left( t \right) = \left\{ \begin{array}{c} A \\ - A \\ 0 \\ \end{array} \right.\quad \begin{array}{*{20}c} {{\rm{f or}}} \\ {{\rm{for}}} \\ \\ \end{array}\;\begin{array}{*{20}c} { - T \le t < 0,} \\ {0 < t \le T,} \\ {{\rm{else}}{\rm{.}}} \\\end{array}
Let A = 1\,{\rm V} and T = 0.5\,{\rm ms} apply.
The Fourier transform of the triangular pulse x(t) sketched above is assumed to be known, namely
- X( f ) = A \cdot T \cdot {\mathop{\rm si}\nolimits} ^2 ( {{\rm{\pi }}fT} ),
where \text{si}(x) = \text{sin}(x)/x.
A comparison of the two signals shows that the following relationship exists between the functions x(t) and y(t) :
- y(t) = T \cdot \frac{{{\rm d}x(t)}}{{{\rm d}t}}.
Hints:
- This task belongs to the chapter Fourier Transform Theorems.
- All the laws presented here - including the Shifting Theorem and the Differentiation Theorem – are illustrated with examples in the (German language) learning video
Gesetzmäßigkeiten der Fouriertransformation ⇒ "Regularities to the Fourier transform". - In subtask (3) the spectrum Y(f) is to be calculated starting from a symmetrical rectangular pulse r(t) with amplitude A and duration T and its spectrum R(f) = A \cdot T \cdot \text{si}(\pi fT) . This is achieved by applying the Shifting Theorem.
- In Exercise 3.5Z the spectrum Y(f) is calculated starting from a signal consisting of three Dirac functions by applying the Integration Theorem.
Questions
Solution
(1) The differentiation theorem reads generally:
- \frac{{{\rm d}x( t )}}{{{\rm d}t}}\circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\,{\rm{j}} 2{\rm{\pi }}f \cdot X( f ).
- Applied to the present example, one obtains:
- Y( f ) = T \cdot {\rm{j}}\cdot 2{\rm{\pi }}f \cdot A \cdot T \cdot \frac{{\sin ^2 ( {{\rm{\pi }}fT} )}}{{( {{\rm{\pi }}fT} )^2 }} = {\rm{j}} \cdot 2 \cdot A\cdot T \cdot \frac{{\sin ^2 ( {{\rm{\pi }}fT} )}}{{{\rm{\pi }}fT}}.
- This function is purely imaginary. At the frequency f = 0 the imaginary part also disappears. This can be formally proven, for example, by applying l'Hospital's rule ⇒ Y( f = 0 ) \;\underline{= 0}.
- However, the result also follows from the fact that the spectral value at f = 0 is equal to the integral over the time function y(t) .
- At the normalised frequency f \cdot T = 0.5 (i.e for f = 1\,\text{ kHz}) the sine function is equal to 1 and we obtain |Y(f = 1 \,\text{kHz})| = 4/\pi \cdot A \cdot T, i.e. approximately |Y(f=1 \ \text{kHz})| \ \underline{=0.636 \,\text{ mV/Hz}} (positive imaginary).
(2) The correct solutions are 1 and 3:
- The zeros of X(f) remain and there is another zero at the frequency f = 0.
- The upper bound is called the asymptotic curve
- \left| {Y_{\max }( f )} \right| = \frac{2A}{{{\rm{\pi }} \cdot |f|}} \ge \left| {Y( f )} \right|.
- For the frequencies at which the sine function delivers the values \pm 1 , |Y_{\text{max}}(f)| and |Y(f)| are identical.
- For the rectangular pulse of same amplitude A the corresponding bound is A/(\pi \cdot |f|).
- In contrast, the spectrum X(f) of the triangular pulse falls asymptotically faster:
- \left| {X_{\max }( f )} \right| = \frac{A}{{{\rm{\pi }}^{\rm{2}} f^2 T}} \ge \left| {X( f )} \right|.
- This is due to the fact that x(t) has no discontinuity points.
(3) Starting from a symmetrical rectangular pulse r(t) with amplitude A and duration T the signal y(t) can also be represented as follows:
- y(t) = r( {t + T/2} ) - r( {t - T/2} ).
- By applying the shifting theorem twice, one obtains:
- Y( f ) = R( f ) \cdot {\rm{e}}^{{\rm{j\pi }}fT} - R( f ) \cdot {\rm{e}}^{ - {\rm{j\pi }}fT} .
- Using the relation \text{e}^{\text{j}x} – \text{e}^{–\text{j}x} = 2\text{j} \cdot \text{sin}(x) it is also possible to write for this:
- Y( f ) = 2{\rm{j}} \cdot A \cdot T \cdot {\mathop{\rm si}\nolimits}( {{\rm{\pi }}fT} ) \cdot \sin ( {{\rm{\pi }}fT} ).
- Consequently, the result is the same as in subtask (1).
- Which way leads faster to the result, everyone must decide for himself. The author thinks that the first way is somewhat more favourable.
- Subjectively, we decide in favour of solution suggestion 1.