Signals and Systems Key Concepts

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Questions and Answers

Which of the following is a key characteristic that distinguishes continuous-time signals from discrete-time signals?

  • Discrete-time signals cannot be represented mathematically.
  • Continuous-time signals are only defined for integer values of the independent variable.
  • Continuous-time signals are defined for every value of the independent variable, which is a continuous variable. (correct)
  • Discrete-time signals are defined for every real value of the independent variable.

What condition must be met for a discrete-time sinusoidal signal $x[n] = A \cos(\Omega n + \phi)$ to be considered periodic?

  • $\Omega$ must be an integer multiple of $\pi$.
  • $\Omega / 2\pi $ must be a rational number. (correct)
  • The amplitude $A$ must be equal to 1.
  • $\Omega$ must be an irrational number.

Given a continuous-time signal $x(t)$, which of the following integrals represents its total energy?

  • $\int_{0}^{\infty} |x(t)|^2 dt$
  • $\int_{-\infty}^{\infty} x^2(t) dt$
  • $\int_{-\infty}^{\infty} x(t) dt$
  • $\int_{-\infty}^{\infty} |x(t)|^2 dt$ (correct)

Which of the following statements accurately describes the sifting property of the unit impulse function $\delta(t)$?

<p>$\int x(t)\delta(t-t_0) dt = x(t_0)$ (B)</p> Signup and view all the answers

A system is defined such that its output $y(t)$ is the derivative of its input $x(t)$, i.e., $y(t) = \frac{d}{dt}x(t)$. What can be said about this system?

<p>The system is linear and time-invariant. (A)</p> Signup and view all the answers

What is the key characteristic of a causal system?

<p>Its output depends only on present and past values of the input. (B)</p> Signup and view all the answers

Which of the following functions is an example of an odd signal?

<p>$x(t) = \sin(t)$ (D)</p> Signup and view all the answers

If $x[n] = A \alpha^n$ represents a discrete-time real exponential signal, under what condition will the signal decay exponentially as $n$ increases?

<p>$|\alpha| &lt; 1$ (D)</p> Signup and view all the answers

A continuous-time system is described by the input-output relationship $y(t) = x(t^2)$. Is this system time-invariant?

<p>No, because the transformation $t^2$ introduces time scaling depending on the time origin. (B)</p> Signup and view all the answers

What is the fundamental difference between energy signals and power signals?

<p>Energy signals have finite energy and zero average power, while power signals have infinite energy, but finite average power. (D)</p> Signup and view all the answers

Flashcards

What are Signals?

Signals are functions carrying information, representing a physical quantity's evolution.

Continuous-Time Signals

Signals defined for every time value (t), where t is a real number.

Cosine and Sine Signals

x(t) = A cos(ωt + φ) or x(t) = A sin(ωt + φ), where A is amplitude, ω is angular frequency, and φ is phase.

Real Exponential Signals

x(t) = A e^(at) signal grows (a > 0) or decays (a < 0) exponentially.

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Unit Step Function

u(t) = 0 for t < 0; u(t) = 1 for t ≥ 0. Represents signals starting at a specific time.

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Unit Impulse Function

δ(t) = 0 for t ≠ 0; integral from -∞ to ∞ is 1. Useful for system analysis.

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Discrete-Time Signals

Defined only at discrete time moments (integer n), obtained by sampling continuous signals.

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Discrete-Time Sinusoids

x[n] = A cos(Ωn + φ) or x[n] = A sin(Ωn + φ), where Ω is discrete-time frequency.

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Discrete-Time Exponential

x[n] = A α^n grows (|α| > 1) or decays (|α| < 1) exponentially in discrete time.

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Even Signal

x(-t) = x(t) or x[-n] = x[n]. Symmetric about the vertical axis.

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