Difference between revisions of "Aufgaben:Exercise 1.5Z: Sinc-shaped Impulse Response"
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− | {{quiz-Header|Buchseite= | + | {{quiz-Header|Buchseite=Linear_and_Time_Invariant_Systems/Some_Low-Pass_Functions_in_Systems_Theory}} |
− | [[File:P_ID857__LZI_Z_1_5.png|right|frame|$\rm | + | [[File:P_ID857__LZI_Z_1_5.png|right|frame|$\rm sinc$–shaped impulse response]] |
− | + | The impulse response of a linear time-invariant (and non-causal) system was determined as follows (see graph): | |
− | :$$h(t) = 500\hspace{0.1cm}{ {\rm s}}^{-1}\cdot{\rm | + | :$$h(t) = 500\hspace{0.1cm}{ {\rm s}}^{-1}\cdot{\rm sinc}\big[{t}/({ 1\hspace{0.1cm}{\rm ms}})\big] .$$ |
− | + | The output signals y(t) should be computed if various cosine oscillations of different frequency f0 are applied to the input: | |
− | |||
:$$x(t) = 4\hspace{0.05cm}{\rm V}\cdot {\rm cos}(2\pi \cdot f_0 | :$$x(t) = 4\hspace{0.05cm}{\rm V}\cdot {\rm cos}(2\pi \cdot f_0 | ||
\cdot t ) .$$ | \cdot t ) .$$ | ||
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− | '' | + | ''Please note:'' |
− | * | + | *The exercise belongs to the chapter [[Linear_and_Time_Invariant_Systems/Some_Low-Pass_Functions_in_Systems_Theory|Some Low-Pass Functions in Systems Theory]]. |
− | * | + | *The solution can be found in the time domain or in the frequency domain. In the sample solution you will find both approaches. |
− | * | + | *The following definite integral is given: |
:$$\int_{ 0 }^{ \infty } \frac{\sin(u) \cdot \cos(a \cdot u)}{u} \hspace{0.15cm}{\rm | :$$\int_{ 0 }^{ \infty } \frac{\sin(u) \cdot \cos(a \cdot u)}{u} \hspace{0.15cm}{\rm | ||
d}u = \left\{ π/2π/40 \right.\quad \quad | d}u = \left\{ π/2π/40 \right.\quad \quad | ||
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− | === | + | ===Questions=== |
<quiz display=simple> | <quiz display=simple> | ||
− | { | + | {Compute the frequency response H(f) of the LTI system. What is the equivalent bandwidth and the direct signal (DC) transmission factor? |
|type="{}"} | |type="{}"} | ||
Δf = { 1 3% } kHz | Δf = { 1 3% } kHz | ||
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− | { | + | {What is the signal value of the output signal y(t) at time t=0 if the input is cosine-shaped and of frequency f0=1 kHz_? |
|type="{}"} | |type="{}"} | ||
y(t=0) = { 0. } V | y(t=0) = { 0. } V | ||
− | { | + | {What is the signal value of the output signal y(t) at time t=0 if the input is cosine-shaped and of frequency f0=0.1 kHz_? |
|type="{}"} | |type="{}"} | ||
y(t=0) = { 2 3% } V | y(t=0) = { 2 3% } V | ||
− | { | + | {What is the signal value of the output signal y(t) at timee t=0 if the input is cosine-shaped and of frequency f0=0.5 kHz_? |
|type="{}"} | |type="{}"} | ||
y(t=0) = { 1 3% } V | y(t=0) = { 1 3% } V | ||
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</quiz> | </quiz> | ||
− | === | + | ===Solution=== |
{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' | + | '''(1)''' A comparison with the equations on the page [[Linear_and_Time_Invariant_Systems/Some_Low-Pass_Functions_in_Systems_Theory#Ideal_low-pass_filter_–_Rectangular-in-frequency|Ideal low-pass filter]] or applying the [[Signal_Representation/Fourier_Transform_and_Its_Inverse#The_second_Fourier_integral |inverse Fourier transformation]] shows that H(f) is an ideal low-pass filter: |
:$$H(f) = \left\{ KK/20 \right.\quad \quad \begin{array}{*{10}c} {\rm{f\ddot{u}r}} \\ {\rm{f\ddot{u}r}} | :$$H(f) = \left\{ KK/20 \right.\quad \quad \begin{array}{*{10}c} {\rm{f\ddot{u}r}} \\ {\rm{f\ddot{u}r}} | ||
\\ {\rm{f\ddot{u}r}} \\ \end{array}\begin{array}{*{20}c} | \\ {\rm{f\ddot{u}r}} \\ \end{array}\begin{array}{*{20}c} | ||
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{\left|\hspace{0.005cm} f \hspace{0.05cm} \right| > \Delta f/2.} \\ | {\left|\hspace{0.005cm} f \hspace{0.05cm} \right| > \Delta f/2.} \\ | ||
\end{array}$$ | \end{array}$$ | ||
− | * | + | *The equidistant zero-crossings of the impulse response occur at an interval of Δt = 1 \ \rm ms . |
− | * | + | *From this it follows that the equivalent bandwidth is Δf \rm \underline{ = 1 \ \rm kHz}. |
− | * | + | *If K = 1 was true, then h(0) = Δf = 1000 \cdot \rm 1/s should hold. |
− | * | + | *Because of the given h(0) = 500 \cdot{\rm 1/s} = Δf/2 the direct signal (DC) transmission factor thus is K = H(f = 0) \; \rm \underline{= 0.5}. |
− | '''(2)''' | + | '''(2)''' This problem is most easily solved in the spectral domain. |
− | * | + | *For the output spectrum the following holds: Y(f) = X(f)\cdot H(f) . |
− | *X(f) | + | *X(f) consists of two Dirac functions at ± f_0 each with weight A_x/2 =2 \hspace{0.08cm}\rm V. |
− | * | + | *For f = f_0 = 1 \ {\rm kHz} > Δf/2 , however H(f) = 0 holds, such that Y(f) = 0 and hence also y(t) = 0 ⇒ \underline{y(t = 0) = 0}. |
− | + | The solution in the time domain is based on convolution: | |
:$$y(t) = x (t) * h (t) = \int_{ - \infty }^{ + \infty } {h ( \tau )} \cdot | :$$y(t) = x (t) * h (t) = \int_{ - \infty }^{ + \infty } {h ( \tau )} \cdot | ||
x ( {t - \tau } ) \hspace{0.1cm}{\rm d}\tau.$$ | x ( {t - \tau } ) \hspace{0.1cm}{\rm d}\tau.$$ | ||
− | * | + | *At time t = 0 the following is obtained considering the symmetry of the cosine function: |
:$$y(t = 0 ) = \frac{A_x \cdot \Delta f}{2} \cdot \int_{ - \infty }^{ + \infty } {\rm si} ( \pi \cdot \Delta f \cdot \tau ) \cdot | :$$y(t = 0 ) = \frac{A_x \cdot \Delta f}{2} \cdot \int_{ - \infty }^{ + \infty } {\rm si} ( \pi \cdot \Delta f \cdot \tau ) \cdot | ||
{\rm cos}(2\pi \cdot f_0 | {\rm cos}(2\pi \cdot f_0 | ||
\cdot \tau ) \hspace{0.1cm}{\rm d}\tau.$$ | \cdot \tau ) \hspace{0.1cm}{\rm d}\tau.$$ | ||
− | * | + | *With the substitution u = π · Δf · τ , this can also be formulated as follows: |
:y(t = 0 ) = \frac{A_x }{\pi} \cdot \int_{ 0 }^{ \infty } \frac{\sin(u) \cdot \cos(a \cdot u)}{u} \hspace{0.15cm}{\rm d}u . | :y(t = 0 ) = \frac{A_x }{\pi} \cdot \int_{ 0 }^{ \infty } \frac{\sin(u) \cdot \cos(a \cdot u)}{u} \hspace{0.15cm}{\rm d}u . | ||
− | * | + | *Here, the constant is a = 2f_0/Δf = 2. With this value, the given integral yields zero: y(t = 0 ) = {A_y } = 0. |
− | '''(3)''' | + | '''(3)''' The frequency response has the value K = 0.5 at f = f_0 = 100 \ \rm Hz according to the calculations for subtask '''(1)''' . Therefore, |
− | :$$A_y = A_x/2 = 2\ \rm V | + | :A_y = A_x/2 = 2\ \rm V is obtained. |
− | * | + | *The same result is obtained by convolution according to the above equation. |
− | * | + | *For a = 2f_0/Δf = 0.2 the integral is equal to π/2 and one obtains |
:y(t = 0 ) = {A_y } = \frac{A_x}{\pi} \cdot \frac{\pi}{2} = \frac{A_x}{2} \hspace{0.15cm}\underline{= 2\,{\rm V}}. | :y(t = 0 ) = {A_y } = \frac{A_x}{\pi} \cdot \frac{\pi}{2} = \frac{A_x}{2} \hspace{0.15cm}\underline{= 2\,{\rm V}}. | ||
− | '''(4)''' | + | '''(4)''' The transition from the band-pass to the band-stop is exactly at f = 0.5 \ \rm kHz and for this singular location the following holds: |
:H(f = f_0) = K/2. | :H(f = f_0) = K/2. | ||
− | * | + | *Thus, the amplitude of the output signal is only half as large as calculated in subtask '''(3)''' , namely A_y \; \underline{= 1 \, \rm V}. |
− | * | + | *The same result is obtained with a = 2f_0/Δf = 1 by convolution. |
{{ML-Fuß}} | {{ML-Fuß}} | ||
− | [[Category: | + | [[Category:Linear and Time-Invariant Systems: Exercises|^1.3 Some Low-Pass Functions in Systems Theory^]] |
Latest revision as of 14:54, 7 September 2021
The impulse response of a linear time-invariant (and non-causal) system was determined as follows (see graph):
- h(t) = 500\hspace{0.1cm}{ {\rm s}}^{-1}\cdot{\rm sinc}\big[{t}/({ 1\hspace{0.1cm}{\rm ms}})\big] .
The output signals y(t) should be computed if various cosine oscillations of different frequency f_0 are applied to the input:
- x(t) = 4\hspace{0.05cm}{\rm V}\cdot {\rm cos}(2\pi \cdot f_0 \cdot t ) .
Please note:
- The exercise belongs to the chapter Some Low-Pass Functions in Systems Theory.
- The solution can be found in the time domain or in the frequency domain. In the sample solution you will find both approaches.
- The following definite integral is given:
- \int_{ 0 }^{ \infty } \frac{\sin(u) \cdot \cos(a \cdot u)}{u} \hspace{0.15cm}{\rm d}u = \left\{ \begin{array}{c} \pi/2 \\ \pi/4 \\ 0 \\ \end{array} \right.\quad \quad \begin{array}{c} {\rm{f\ddot{u}r}} \\ {\rm{f\ddot{u}r}} \\ {\rm{f\ddot{u}r}} \\ \end{array}\begin{array}{*{20}c}{ |a| < 1,} \\{ |a| = 1,} \\ { |a| > 1.} \\ \end{array}
Questions
Solution
(1) A comparison with the equations on the page Ideal low-pass filter or applying the inverse Fourier transformation shows that H(f) is an ideal low-pass filter:
- H(f) = \left\{ \begin{array}{c} \hspace{0.25cm}K \\ K/2 \\ 0 \\ \end{array} \right.\quad \quad \begin{array}{*{10}c} {\rm{f\ddot{u}r}} \\ {\rm{f\ddot{u}r}} \\ {\rm{f\ddot{u}r}} \\ \end{array}\begin{array}{*{20}c} {\left| \hspace{0.005cm} f\hspace{0.05cm} \right| < \Delta f/2,} \\ {\left| \hspace{0.005cm}f\hspace{0.05cm} \right| = \Delta f/2,} \\ {\left|\hspace{0.005cm} f \hspace{0.05cm} \right| > \Delta f/2.} \\ \end{array}
- The equidistant zero-crossings of the impulse response occur at an interval of Δt = 1 \ \rm ms .
- From this it follows that the equivalent bandwidth is Δf \rm \underline{ = 1 \ \rm kHz}.
- If K = 1 was true, then h(0) = Δf = 1000 \cdot \rm 1/s should hold.
- Because of the given h(0) = 500 \cdot{\rm 1/s} = Δf/2 the direct signal (DC) transmission factor thus is K = H(f = 0) \; \rm \underline{= 0.5}.
(2) This problem is most easily solved in the spectral domain.
- For the output spectrum the following holds: Y(f) = X(f)\cdot H(f) .
- X(f) consists of two Dirac functions at ± f_0 each with weight A_x/2 =2 \hspace{0.08cm}\rm V.
- For f = f_0 = 1 \ {\rm kHz} > Δf/2 , however H(f) = 0 holds, such that Y(f) = 0 and hence also y(t) = 0 ⇒ \underline{y(t = 0) = 0}.
The solution in the time domain is based on convolution:
- y(t) = x (t) * h (t) = \int_{ - \infty }^{ + \infty } {h ( \tau )} \cdot x ( {t - \tau } ) \hspace{0.1cm}{\rm d}\tau.
- At time t = 0 the following is obtained considering the symmetry of the cosine function:
- y(t = 0 ) = \frac{A_x \cdot \Delta f}{2} \cdot \int_{ - \infty }^{ + \infty } {\rm si} ( \pi \cdot \Delta f \cdot \tau ) \cdot {\rm cos}(2\pi \cdot f_0 \cdot \tau ) \hspace{0.1cm}{\rm d}\tau.
- With the substitution u = π · Δf · τ , this can also be formulated as follows:
- y(t = 0 ) = \frac{A_x }{\pi} \cdot \int_{ 0 }^{ \infty } \frac{\sin(u) \cdot \cos(a \cdot u)}{u} \hspace{0.15cm}{\rm d}u .
- Here, the constant is a = 2f_0/Δf = 2. With this value, the given integral yields zero: y(t = 0 ) = {A_y } = 0.
(3) The frequency response has the value K = 0.5 at f = f_0 = 100 \ \rm Hz according to the calculations for subtask (1) . Therefore,
- A_y = A_x/2 = 2\ \rm V is obtained.
- The same result is obtained by convolution according to the above equation.
- For a = 2f_0/Δf = 0.2 the integral is equal to π/2 and one obtains
- y(t = 0 ) = {A_y } = \frac{A_x}{\pi} \cdot \frac{\pi}{2} = \frac{A_x}{2} \hspace{0.15cm}\underline{= 2\,{\rm V}}.
(4) The transition from the band-pass to the band-stop is exactly at f = 0.5 \ \rm kHz and for this singular location the following holds:
- H(f = f_0) = K/2.
- Thus, the amplitude of the output signal is only half as large as calculated in subtask (3) , namely A_y \; \underline{= 1 \, \rm V}.
- The same result is obtained with a = 2f_0/Δf = 1 by convolution.