EC-402 · Signals & Systems/Unsolved PYQ Paper
EC-402 Signal and System - Nov 2023 Question Paper
Under each question, How to answer lists the points an answer should cover, outlined by CampusPrep from the syllabus. Check the details against your textbook.
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7 MarksaDefine signal. Classify the different types of signal in detail using time domain technique.
How to answer
- Definition of signal as function conveying information
- Time-domain classification: continuous/discrete, analog/digital, periodic/aperiodic
- Energy/power, causal/non-causal, even/odd, bounded/unbounded with examples
- Diagrammatic illustration of types
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7 MarksbIdentify the following signals are energy signal or power signal or neither-
- i)$x(t) = e^{j\left(2t+\frac{\pi}{4}\right)}$
- ii)$x(t) = \left(\frac{1}{3}\right)^{n} u(n)$
How to answer
- Formula for energy $E=\int|x(t)|^2dt$ / $\sum|x[n]|^2$ and power $P$
- Check i) complex exponential magnitude =1, infinite energy, finite power
- Check ii) decaying exponential times $u(n)$, summable square => energy signal
- Conclude energy / power / neither
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7 MarksaDefine system. Explain the different types of system with examples.
How to answer
- Definition of system as entity relating input to output
- Classification: linear/non-linear, time-invariant/variant, causal/non-causal
- Static/dynamic, stable/unstable, invertible/non-invertible with examples
- Continuous/discrete examples
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7 MarksbDetermine whether the following systems-
- i)$y(t) = tx(t)$
- ii)$y(n) = a^{\{x(n)\}}$
How to answer
- Test properties: linearity, time-invariance, causality, stability, memory
- Analyze i) $y(t)=tx(t)$ for linearity, time-variance
- Analyze ii) $y(n)=a^{x(n)}$ for linearity, causality
- Conclude classification
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7 MarksaWhat is Convolution? Find the Convolution integral of the signals $x(t) = e^{-2t} u(t)$ and $h(t) = e^{-4t} u(t)$.
How to answer
- Definition of convolution for CT signals
- Convolution integral formula $y(t)=\int x(\tau)h(t-\tau)d\tau$
- Substitute $e^{-2t}u(t)$ and $e^{-4t}u(t)$ and evaluate limits
- Result $(e^{-2t}-e^{-4t})u(t)$
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7 MarksbComment on the causality and stability of the given system $h(t) = (2 + e^{-3t}) u(t)$ Also find the step response of the system.
How to answer
- Condition for causality: $h(t)=0$ for $t<0$
- Condition for BIBO stability: $\int|h(t)|dt < \infty$
- Test $h(t)=(2+e^{-3t})u(t)$ for both
- Find step response $s(t)=\int_{-\infty}^{t}h(\tau)d\tau$
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7 MarksaShow a direct form-I realization of the transfer function- $$H(s) = \frac{s+5}{s^{2}+2s+4}$$
How to answer
- Rewrite $H(s)$ as ratio of polynomials in $s^{-1}$
- Identify feedforward and feedback coefficients
- Draw direct form-I with two cascaded delay chains
- Label adders, multipliers $5,2,4$
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7 MarksbState and prove initial value theorem of z transform. Also find the initial value and final value of the given signal. $$X(z) = \frac{z(z+1)}{z^{2}+z-2}$$
How to answer
- Statement of initial value theorem: $x[0]=\lim_{z\to\infty}X(z)$
- Proof from definition $X(z)=\sum x[n]z^{-n}$
- Apply to $X(z)=z(z+1)/(z^2+z-2)$ for initial value
- Apply final value theorem $\lim_{n\to\infty}x[n]=\lim_{z\to1}(z-1)X(z)/z$ with ROC check
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7 MarksaFind z-transform of the given signal- $$x[n] = \begin{cases} n, & 0 \le n \le N-1 \\ N, & N \le n \end{cases}$$
How to answer
- Definition $X(z)=\sum x[n]z^{-n}$ split into two sums
- Evaluate finite sum $\sum_{n=0}^{N-1}nz^{-n}$ and infinite tail $N\sum_{n=N}^{\infty}z^{-n}$
- Closed form using geometric series formulas
- Mention ROC $|z|>1$
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7 MarksbState and prove any four z-transform properties.
How to answer
- List linearity, time-shifting, scaling, time-reversal etc.
- Proof using $X(z)$ definition with substitution
- Show ROC changes where applicable
- Give example for each
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7 MarksaFind the exponential Fourier series and plot the magnitude and phase spectra of the following triangular wave form.
Given: Given plot: x(t) vs t(sec) triangular wave, peaks value 1 at t=0,2,-2 and troughs -1 at intermediate points, period 2 sec, t-axis horizontal, x(t) vertical. How to answer
- Determine period $T=2$ sec, $\omega_0=\pi$ from triangular plot
- Compute exponential coefficients $C_n = (1/T)\int_T x(t)e^{-jn\omega_0t}dt$
- Magnitude $|C_n|$ even and phase $\angle C_n$ spectra
- Plot line spectra vs $n\omega_0$
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7 MarksbFind the Fourier Transform of Rectangular pulse. Sketch the signal and Fourier transform.
How to answer
- Define rectangular pulse $rect(t/\tau)$
- Evaluate Fourier integral $X(\omega)=\int_{-\tau/2}^{\tau/2}Ae^{-j\omega t}dt$
- Result $A\tau Sa(\omega\tau/2)$ sinc shape
- Sketch time pulse and sinc spectrum
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7 MarksaDemonstrate time shifting property and time-scaling property of Fourier transform.
How to answer
- Fourier transform definition $X(\omega)=\int x(t)e^{-j\omega t}dt$
- Proof of shifting: $x(t-t_0) \leftrightarrow X(\omega)e^{-j\omega t_0}$
- Proof of scaling: $x(at) \leftrightarrow (1/|a|)X(\omega/a)$
- Interpretation with examples
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7 MarksbObtain DTFT of following signals-
- i)$x[n] = a^{n} \sin(w_{o}n) u(n);\; a < 1$
- ii)$x[n] = n3^{-n} u(-n)$
How to answer
- Use DTFT pair for $a^n u(n)$ and modulation by sine
- Evaluate i) $a^n\sin(\omega_0n)u(n)$ via Euler formula
- Evaluate ii) $n3^{-n}u(-n)$ using time-reversal and differentiation
- State convergence conditions
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7 MarksaState and prove sampling theorem and discuss the effect of under sampling.
How to answer
- Statement: $f_s \ge 2f_m$ for exact reconstruction
- Proof via impulse sampling and spectral replication
- Aliasing effect when $f_s < 2f_m$ with spectral overlap diagram
- Nyquist rate and reconstruction filter
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7 MarksbWrite short notes on -
- i)State space analysis
- ii)State transition matrix
How to answer
- State-space model: $\dot{x}=Ax+Bu, y=Cx+Du$ meaning
- State transition matrix $\phi(t)=e^{At}$ properties
- Methods to compute: Laplace, Cayley-Hamilton
- Applications in system analysis
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