Difference between revisions of "Aufgaben:Exercise 3.6: Even and Odd Time Signals"
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− | [[File:P_ID516__Sig_A_3_6_neu.png|250px|right|frame| | + | [[File:P_ID516__Sig_A_3_6_neu.png|250px|right|frame|"Wedge function" as well as an even and an odd time signal]] |
− | We are looking for the spectrum X(f) of the pulse | + | We are looking for the spectrum X(f) of the pulse x(t) sketched opposite, which rises linearly from $2\hspace{0.05cm} \text{V} to 4\hspace{0.05cm} \text{V} in the range from –T/2 to +T/2$ and is zero outside. |
The spectral functions of the signals g(t) and u(t) shown below are assumed to be known: | The spectral functions of the signals g(t) and u(t) shown below are assumed to be known: | ||
− | *The even | + | *The even (German: gerade) rectangular time function g(t) has the spectrum |
− | :$$G( f ) = A_g \cdot T \cdot {\mathop{\rm si}\nolimits}( { {\rm{\pi }}fT} ) \hspace{0.3cm} {\rm{ | + | :$$G( f ) = A_g \cdot T \cdot {\mathop{\rm si}\nolimits}( { {\rm{\pi }}fT} ) \hspace{0.3cm} {\rm{with}}\hspace{0.3cm} {\mathop{\rm si}\nolimits}( x ) = {\sin ( x )}/{x}.$$ |
− | *The spectrum of the | + | *The spectrum of the odd (German: ungerade) function u(t) is: |
:U(f)=−j⋅Au⋅T2πfT[si(πfT)−cos(πfT)]. | :U(f)=−j⋅Au⋅T2πfT[si(πfT)−cos(πfT)]. | ||
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− | |||
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''Hints:'' | ''Hints:'' | ||
− | *This exercise belongs to the chapter [[Signal_Representation/ | + | *This exercise belongs to the chapter [[Signal_Representation/Fourier_Transform_Theorems|Fourier Transform Theorems]]. |
− | *All | + | *All the theorems presented here are illustrated with examples in the (German language) learning video<br> [[Gesetzmäßigkeiten_der_Fouriertransformation_(Lernvideo)|Gesetzmäßigkeiten der Fouriertransformation]] ⇒ "Regularities to the Fourier transform". |
− | *Solve this task with the help of the [[Signal_Representation/ | + | *Solve this task with the help of the [[Signal_Representation/Fourier_Transform_Theorems#Assignment_Theorem|Assignment Theorem]]. |
− | * | + | *For the first two subtasks use the signal parameters Au=1V and T=1ms. |
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<quiz display=simple> | <quiz display=simple> | ||
− | {Calculate the ( | + | {Calculate the (imaginary) spectral values of the odd signal u(t) at the frequencies f=0.5kHz and f=1kHz. |
|type="{}"} | |type="{}"} | ||
Im[U(f=0.5kHz)] = { -0.205--0.195 } mV/Hz | Im[U(f=0.5kHz)] = { -0.205--0.195 } mV/Hz | ||
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:U(f=0.5kHz)=−j⋅Au⋅Tπ⋅si(π/2)=−j⋅2π2⋅Au⋅T. | :U(f=0.5kHz)=−j⋅Au⋅Tπ⋅si(π/2)=−j⋅2π2⋅Au⋅T. | ||
− | *The imaginary part is | + | *The imaginary part is Im[U(f=0.5kHz)]≈0.2mV/Hz_. |
− | *In contrast, the si function at f⋅T=1 yields the value zero, while the cosine is equal to −1 | + | *In contrast, the $\rm si$–function at f⋅T=1 yields the value zero, while the cosine is equal to −1. Thus with Au=1V and T=1ms one obtains: |
:U(f=1kHz)=j⋅Au⋅T2π⇒Re[...]=0_,Im[...]≈0.159mV/Hz_. | :U(f=1kHz)=j⋅Au⋅T2π⇒Re[...]=0_,Im[...]≈0.159mV/Hz_. | ||
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− | '''(2)''' According to the | + | '''(2)''' According to the "Assignment Theorem", an odd time function u(t) always has an imaginary and at the same time odd spectrum $U( { - f} ) = - U( f )$. With the boundary transition f→∞ follows from the given equation |
− | $U( { - f} ) = - U( f ). | ||
:U(f)=−j⋅Au⋅T2πfT[si(πfT)−cos(πfT)] | :U(f)=−j⋅Au⋅T2πfT[si(πfT)−cos(πfT)] | ||
− | the result U(f=0)=0. Formally, one could confirm this result by applying l'Hospital's rule. | + | the result U(f=0)=0. Formally, one could confirm this result by applying l'Hospital's rule. |
We proceed a little more pragmatically. | We proceed a little more pragmatically. | ||
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*For even smaller frequency values, the result also becomes smaller and smaller. | *For even smaller frequency values, the result also becomes smaller and smaller. | ||
− | *You get to the result U(f=0)=0_ | + | *You get to the result U(f=0)=0_ more quickly if you take into account that the integral over u(t) disappears. |
*So you don't have to calculate at all. | *So you don't have to calculate at all. | ||
− | '''(3)''' The signal x(t) can be divided into | + | '''(3)''' The signal x(t) can be divided into an even and an odd part, which lead to the even real part and the odd imaginary part of X(f) : |
− | *The even part is equal to the function g(t) with Ag=3V. From this follows for the real part of the spectral value at f⋅T=0.5: | + | *The even part is equal to the function g(t) with Ag=3V. From this follows for the real part of the spectral value at f⋅T=0.5: |
:Re[X(f⋅T=0.5)]=Ag⋅T⋅si(π/2)=1.91mV/Hz_. | :Re[X(f⋅T=0.5)]=Ag⋅T⋅si(π/2)=1.91mV/Hz_. | ||
− | *The imaginary part results from the spectral function U(f) with Au=1V. This was already calculated in subtask '''(1)''' | + | *The imaginary part results from the spectral function U(f) with Au=1V. This was already calculated in subtask '''(1)''': |
:Im[X(f⋅T=0.5)]≈−0.2mV/Hz_. | :Im[X(f⋅T=0.5)]≈−0.2mV/Hz_. | ||
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__NOEDITSECTION__ | __NOEDITSECTION__ | ||
− | [[Category: | + | [[Category:Signal Representation: Exercises|^3.3 Fourier Transform Theorems^]] |
Latest revision as of 15:22, 27 April 2021
We are looking for the spectrum X(f) of the pulse x(t) sketched opposite, which rises linearly from 2V to 4V in the range from –T/2 to +T/2 and is zero outside.
The spectral functions of the signals g(t) and u(t) shown below are assumed to be known:
- The even (German: gerade) rectangular time function g(t) has the spectrum
- G(f)=Ag⋅T⋅si(πfT)withsi(x)=sin(x)/x.
- The spectrum of the odd (German: ungerade) function u(t) is:
- U(f)=−j⋅Au⋅T2πfT[si(πfT)−cos(πfT)].
Hints:
- This exercise belongs to the chapter Fourier Transform Theorems.
- All the theorems presented here are illustrated with examples in the (German language) learning video
Gesetzmäßigkeiten der Fouriertransformation ⇒ "Regularities to the Fourier transform". - Solve this task with the help of the Assignment Theorem.
- For the first two subtasks use the signal parameters Au=1V and T=1ms.
Questions
Solution
- U(f=0.5kHz)=−j⋅Au⋅Tπ⋅si(π/2)=−j⋅2π2⋅Au⋅T.
- The imaginary part is Im[U(f=0.5kHz)]≈0.2mV/Hz_.
- In contrast, the si–function at f⋅T=1 yields the value zero, while the cosine is equal to −1. Thus with Au=1V and T=1ms one obtains:
- U(f=1kHz)=j⋅Au⋅T2π⇒Re[...]=0_,Im[...]≈0.159mV/Hz_.
(2) According to the "Assignment Theorem", an odd time function u(t) always has an imaginary and at the same time odd spectrum U(−f)=−U(f). With the boundary transition f→∞ follows from the given equation
- U(f)=−j⋅Au⋅T2πfT[si(πfT)−cos(πfT)]
the result U(f=0)=0. Formally, one could confirm this result by applying l'Hospital's rule.
We proceed a little more pragmatically.
- For example, if we set f⋅T=0.01, we obtain:
U(f⋅T=0.01)=−j⋅Au⋅T0.02π[si(0.01π)−cos(0.01π)]=−j⋅Au⋅T0.02π(0.999836−0.999507)≈−j⋅5⋅10−6V/Hz.
- For even smaller frequency values, the result also becomes smaller and smaller.
- You get to the result U(f=0)=0_ more quickly if you take into account that the integral over u(t) disappears.
- So you don't have to calculate at all.
(3) The signal x(t) can be divided into an even and an odd part, which lead to the even real part and the odd imaginary part of X(f) :
- The even part is equal to the function g(t) with Ag=3V. From this follows for the real part of the spectral value at f⋅T=0.5:
- Re[X(f⋅T=0.5)]=Ag⋅T⋅si(π/2)=1.91mV/Hz_.
- The imaginary part results from the spectral function U(f) with Au=1V. This was already calculated in subtask (1):
- Im[X(f⋅T=0.5)]≈−0.2mV/Hz_.