SIGNALS AND SYSTEMS - B.Tech 3rd Semester Special Exam., 2020
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.
-
If the Z-transform of \( x(n) \) is \( X(z) \) then show that \( Z[x_{1}(n)*x_{2}(n)]=X_{1}(z)X_{2}(z) \)
-
If the impulse response for a system is given by \( h(n)=a^{n}u(n) \), then what is the condition for the system to be BIBO stable?
-
A voltage having the laplace transform \( \frac{4s^{2}+3s+2}{7s^{2}+6s+5} \) is applied across a 2H inductor. What is the current in inductor at \( t \to \infty \) assuming zero initial condition?
-
Differentiate between Kronecker delta function and Direc delta function.
-
The step response of an LTI system when the impulse response \( h(n) \) is unit step \( u(n) \) is _________.
-
Find the Laplace transform \( f(t)=e^{3t}\cos(2t)u(t) \) where symbols have their usual meanings.
-
An LTI system is described as \( 0.5\frac{d^{2}y(t)}{dt^{2}}+2.5\frac{dy(t)}{dt}+2y(t)=\delta(t) \). Find the final value of the output response where \( y(t) \) is output and \( x(t) \) is input.
-
The period of a sequence \( x(n)=\cos(\frac{2\pi n}{3}) \) is _________.
-
The final value of step response of a causal LTI system with \( H(s)=\frac{s+1}{s+4} \) is
-
Consider two functions \( f(t)=h(t)h(3-t) \) and \( g(t)=h(t)-h(t-3) \). Are these two functions identical? Show that \( L[f(t)]=L[g(t)] \) where L is the Laplace operator.
-
Let a system is described by the differential equation as \( \ddot{y}+3\dot{y}+2y=e^{-t} \); with initial condition \( y(0)=\dot{y}(0)=0 \). Compute the solution of the equation.
-
Let \( f(t) \) is a periodic function with periodicity T for \( t\ge0 \), then show that \( L[f(t)]=\frac{L[f_{T}(t)]}{1-e^{-sT}} \), \( s>0 \)
-
Find the Laplace transform of Fig. 1.
-
State why ROC does not include any pole. Find the Z-transform of \( x(n)=\begin{cases}(0.5)^{n}u(n),&n>0\\ (0.25)^{-n},&n < 0\end{cases} \)
-
Find the inverse Z-transform of \( X(z)=\frac{1-\frac{1}{4}z^{-1}}{1-\frac{1}{9}z^{-1}} \) where ROC: \( |z|>\frac{1}{3} \)
-
Show that \( Z[nx(n)]=-z\frac{dX(z)}{dz} \) where \( X(z)\leftrightarrow x[n] \).
-
Briefly explain the causality of a system.
-
Find whether the signal \( x[n]=\sin(\frac{3\pi}{4}n)+\sin(\frac{\pi}{3}n) \) is periodic or aperiodic. If periodic, then what is the periodicity of x[n]?
-
Write down the Dirichlet condition.
-
Find the Fourier transform of \( x(t)=e^{-|t|}u(t) \), and hence draw the magnitude and phase spectrums.
-
Compute the Fourier transform of signal shown in Fig. 2: \( R_{x}(\tau)=\begin{cases}\frac{N}{2},&-B\le\tau\le B\\ 0,&elsewhere\end{cases} \)
-
Find the convolution of the following discrete sequences: \( x(n)=\frac{1}{3}u(n) \) and \( h(n)=\frac{1}{5}u(n) \)
-
State why the realization of an ideal low-pass filter is not possible, with proper justification.
-
A system is defined as \( y(n)=x(n^{2}) \). Check whether the system is linear or non-linear, time-varying or time-invariant, causal or non-causal, and memoryless or memory type.
-
State Parseval's theorem.
-
Sketch the signal \( x(t)=-2u(t-1) \).
-
Compute the Nyquist sampling rate for the signal \( g(t)=10\cos(50\pi)\cos^{2}(150\pi t) \)
-
Show that \( u(n)=\sum_{k=-\infty}^{n}\delta(n) \) where symbols have their usual meanings.
-
What is unit doublet? Prove that \( \int_{-\infty}^{\infty}x(t)\delta^{k}(t)dt=(-1)^{k}\frac{d^{k}x(t)}{dt^{k}}|_{t=0} \) where \( x^{k} \) is k-th derivative of function \( x(t) \) and \( \delta(t) \) is Dirac delta function.
-
A system is described by its input-output relationship as \( y[n]=\sum_{k=-\infty}^{n}x[n-k] \). Is the system memoryless, stable, causal, time-invariant and linear?
-
Find the fundamental period of signal \( x[n]=e^{j7.351\pi n} \)
-
Let \( x[n] \) be an arbitrary function with even and odd part as \( x_{e}[n] \) and \( x_{o}[n] \) respectively. Show that \( \sum_{n=-\infty}^{\infty}x^{2}[n]=\sum_{n=-\infty}^{\infty}x_{e}^{2}[n]+\sum_{n=-\infty}^{\infty}x_{o}^{2}[n] \)
-
Perform the convolution operation between \( x[n]=\{0,0,0,0,(2),-3,1,0,0\} \) and \( h[n]=\{0,0,0,1,(2),2,0,0,0\} \) using graphical method.
-
Calculate the Fourier transform of \( x[n]=u[n] \).