Signals and Systems Theory

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Questions and Answers

If a system's impulse response is $h(t) = e^{-at}u(t)$, where $a > 0$ and $u(t)$ is the unit step function, what is the system's transfer function $H(s)$?

  • $\frac{1}{s}$
  • $\frac{a}{s^2 + a^2}$
  • $\frac{1}{s-a}$
  • $\frac{1}{s+a}$ (correct)

Consider a discrete-time system with input $x[n]$ and output $y[n]$ described by the difference equation $y[n] - 0.5y[n-1] = x[n]$. What is the system's response to a unit impulse input $x[n] = \delta[n]$?

  • $y[n] = (0.5)^n$
  • $y[n] = u[n]$
  • $y[n] = \delta[n]$
  • $y[n] = (0.5)^n u[n]$ (correct)

A continuous-time signal $x(t) = \cos(2\pi f_0 t)$ is sampled at a rate of $f_s$ samples per second. According to the Nyquist-Shannon sampling theorem, what is the minimum sampling rate $f_s$ required to perfectly reconstruct $x(t)$ from its samples?

  • $f_s > f_0$
  • $f_s > 2f_0$ (correct)
  • $f_s > 4f_0$
  • $f_s > 0.5f_0$

In the context of error correction codes, what is the Hamming distance between the codewords 10110 and 11001?

<p>3 (D)</p>
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Which statement accurately describes the fundamental difference between frequency modulation (FM) and amplitude modulation (AM)?

<p>FM varies signal frequency; AM varies signal amplitude. (D)</p>
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What is the primary purpose of applying windowing functions, such as Hamming or Blackman windows, to a signal before computing its Discrete Fourier Transform (DFT)?

<p>To reduce spectral leakage and improve the accuracy of the DFT. (D)</p>
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A linear time-invariant (LTI) system has an impulse response $h[n] = (0.5)^n u[n]$. Determine the system's output $y[n]$ when the input is $x[n] = \delta[n] - 0.5\delta[n-1]$, where $\delta[n]$ is the discrete-time unit impulse function.

<p>$y[n] = (0.5)^n u[n] - 0.25(0.5)^{n-1}u[n-1]$ (C)</p>
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Consider a flat fading wireless channel. How does the coherence bandwidth relate to the channel's frequency selectivity?

<p>A coherence bandwidth much smaller than the signal bandwidth implies frequency-selective fading. (B)</p>
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A signal $x(t)$ has a Fourier Transform $X(f)$. If $x(t)$ is real and even, which of the following statements is true about $X(f)$?

<p>$X(f)$ is real and even. (A)</p>
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In digital communication systems, what is the primary advantage of using Orthogonal Frequency Division Multiplexing (OFDM) over single-carrier modulation in frequency-selective fading channels?

<p>OFDM converts a frequency-selective channel into multiple parallel flat fading channels. (D)</p>
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A causal LTI system is described by the differential equation $\frac{d^2y(t)}{dt^2} + 5\frac{dy(t)}{dt} + 6y(t) = x(t)$. What are the poles of the system's transfer function?

<p>-2 and -3 (B)</p>
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Consider a signal $x[n]$ with a Z-transform $X(z)$. If $X(z) = \frac{z}{z-0.5}$ and the region of convergence (ROC) is $|z| > 0.5$, what is the signal $x[n]$?

<p>$x[n] = (0.5)^{n-1} u[n-1]$ (C)</p>
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In antenna theory, what is the effective aperture ($A_e$) of an antenna related to its directivity (D) and the wavelength ($\lambda$)?

<p>$A_e = \frac{D \lambda^2}{4\pi}$ (D)</p>
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A binary symmetric channel (BSC) has a crossover probability of $p$. If a codeword of length $n$ is transmitted, what is the probability that exactly $k$ bits are flipped during transmission?

<p>${n \choose k} p^k(1-p)^{n-k}$ (C)</p>
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What is the primary advantage of using convolutional codes with Viterbi decoding compared to block codes with algebraic decoding in digital communication systems?

<p>Viterbi decoding achieves maximum likelihood (ML) decoding, offering better error performance. (C)</p>
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A discrete-time signal $x[n]$ is defined as $x[n] = \begin{cases} 1, & 0 \leq n \leq N-1 \ 0, & \text{otherwise} \end{cases}$. What is the magnitude of its Discrete-Time Fourier Transform (DTFT) at frequency $\omega = 0$?

<p>N (B)</p>
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In the context of wireless communication, what is the Clarke's model primarily used for?

<p>Modeling the small-scale fading due to multipath propagation. (C)</p>
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Consider a memoryless source with alphabet {A, B, C} and probabilities P(A) = 0.5, P(B) = 0.25, and P(C) = 0.25. What is the Huffman code average codeword length for this source?

<p>1.75 bits (A)</p>
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A signal $x(t)$ is bandlimited to 5 kHz. If this signal is ideally sampled at a rate of 12 kHz, what is the highest frequency component present in the reconstructed signal using ideal reconstruction?

<p>5 kHz (C)</p>
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