SIGNALS AND SYSTEMS - B.Tech 5th Semester Exam., 2019
SIGNALS AND SYSTEMS
Instructions:
- The marks are indicated in the right-hand margin.
- There are NINE questions in this paper.
- Attempt FIVE questions in all.
- Question No. 1 is compulsory.
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Find the fundamental period and frequency of the signal \( x(t)=\cos 18\pi t+\sin 12\pi t \)
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With an example, prove that cascade combination of an LTI system and its inverse system results an identity system.
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Check whether the system \( y(t)=tx(t) \) is causal and stable.
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What is the physical significance of convolution?
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What do you mean by convergence of Fourier series?
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Prove that \( x_{even}(t)\leftrightarrow Re\{a_{k}\} \) where \( x(t) \) is real and \( x(t)\leftrightarrow a_{k} \).
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Determine the Laplace transform for the signal \( x(t)=e^{-5t}u(t-1) \).
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For an LTI system to be causal and stable, what should be the condition on ROC and locations of poles?
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Find the z-transform and ROC of \( x[n]=(\frac{1}{5})^{n}u(n-3) \)
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State and prove time reversal property of z-transform.
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Compute and plot the even and odd parts of the given discrete and continuous signals from the figures.
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Let \( x(t)=u(t-3)-u(t-5) \) and \( h(t)=e^{-3t}u(t) \). Compute:
(i) \( y(t)=x(t)*h(t) \)
(ii) \( g(t)=(dx(t)/dt)*h(t) \)
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For each of the following systems, check the properties of linearity, time-invariance, causality and BIBO stability:
(i) \( y(t)=x(t/2) \)
(ii) \( y[n]=nx[n] \) -
Compute and plot the convolution \( y[n]=x[n]*h[n] \) where \( x[n]=(\frac{1}{2})^{n-2}u[n-2] \) and \( h[n]=u[n+2] \).
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Obtain the differential equations for the given systems.
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Explain the 'property of sifting' of discrete-time unit impulse.
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State and prove the following properties of continuous-time Fourier series:
(i) Frequency shifting
(ii) Periodic convolution in time-domain
(iii) Time scaling
(iv) Differentiation in time-domain -
Calculate the Fourier series coefficients for the periodic signal
\( x(t)=\begin{cases}2&,&0\le t< 2\\ -2,&2\le t< 4\end{cases} \)
with fundamental frequency \( \omega_{0}=\pi/2 \).
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State and prove the following properties of discrete-time Fourier transform:
(i) Time shifting
(ii) Time expansion
(iii) Multiplication of two signals in time-domain
(iv) Differentiation in frequency -
Compute the Fourier transform of \( x[n]=(\frac{1}{4})^{|n-1|} \).
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Consider an LTI system whose response to the input \( x(t)=(e^{-t}+e^{-3t})u(t) \) is \( y(t)=(2e^{-t}-2e^{-4t})u(t) \). Using Laplace transforms, find the impulse response of the system. Also compute its frequency response.
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Determine the inverse Laplace transform of \( X(s)=\frac{(s+1)}{(s+1)^{2}+4} \), \( Re\{s\}>-1 \).
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Determine the impulse response of the system described by the difference equation \( y[n]=\frac{1}{2}[x[n]+x[n-1]+y[n-1]] \). Assume that the system is initially relaxed.
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Solve the following linear difference equation:
\( y[n]+\frac{1}{2}y[n-1]-\frac{1}{4}y[n-2]=0 \)
Given that \( y[-1]=y[-2]=1 \).
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Determine all possible signals of \( x(n) \) associated with the following z-transforms:
(i) \( X(z)=\frac{1}{1-\frac{3}{2}z^{-1}+\frac{1}{2}z^{-2}} \)
(ii) \( X(z)=\frac{5}{1-\frac{1}{2}z^{-1}+\frac{1}{4}z^{-2}} \) -
Obtain the z-transform and ROC of the following sequence:
\( x(n)=(\frac{1}{2})^{n}[u[n]-u[n-10]] \)