Difference between revisions of "Aufgaben:Exercise 3.5: Differentiation of a Triangular Pulse"
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''Hints:'' | ''Hints:'' | ||
*This task belongs to the chapter [[Signal_Representation/Fourier_Transform_Theorems|Fourier Transform Theorems]]. | *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/ | + | *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 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 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|Exercise 3.5Z]] the spectrum Y(f) is calculated starting from a signal consisting of three Dirac functions by applying the | + | *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]]. |
Revision as of 14:13, 27 April 2021
We are looking for the spectrum Y(f) of the signal
- y(t)={A−A0forfor−T≤t<0,0<t≤T,else.
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),
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.
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⋅T⋅si(πfT) . 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:
- 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.
- 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) 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
- |Ymax
- For the frequencies at which the sine function delivers the values \pm 1 , |Y_{\text{max}}(f)| and |Y(f)| are identical.
- For the square-wave pulse of 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 displacement 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.