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Continuous-time vs discrete-time signals

Short answer

A continuous-time signal x(t) is defined for all t, e.g., 5sin(100πt); a discrete-time signal x[n] is defined only at integer indices, e.g., (0.5)^n u[n]. CT signals are processed by analog circuits, DT by digital systems; DT often obtained by sampling CT with period T_s.

Define signals both in continuous time and discrete time with examples. Give the difference between them.

A signal is a function of one or more independent variables (usually time) that carries information, e.g. speech, ECG, temperature readings.

  • Continuous-time (CT) signal: defined for every value of time tt in an interval. The independent variable is continuous and written in round brackets, x(t)x(t). Examples: speech voltage from a microphone, x(t)=5sin⁡(100πt)x(t) = 5\sin(100\pi t), room temperature varying with time.
  • Discrete-time (DT) signal: defined only at discrete instants of time, t=nTst = nT_s, where nn is an integer. It is a sequence of numbers written x[n]x[n]. Examples: daily closing share price, samples of speech stored in a computer, x[n]=(0.5)nu[n]x[n] = (0.5)^n u[n].
 CT signal x(t)              DT signal x[n]
   |   .--.                    |   o
   |  /    \                   |   |  o
   | /      \      .           | o |  |  o
   |/        \    /            | | |  |  |
 --+----------\--/---> t     --+-+-+--+--+----> n
                '--             -1 0  1  2
PointContinuous-timeDiscrete-time
Independent variableContinuous ttInteger nn
Notationx(t)x(t)x[n]x[n]
Defined atAll instantsOnly sampling instants
OriginNatural/physical (analog)Sampling of CT or naturally discrete data
ProcessingAnalog circuits (R, L, C, op-amps)Digital hardware, computers, DSP
Energy/powerIntegral of ∣x(t)∣2\lvert x(t)\rvert^2Sum of ∣x[n]∣2\lvert x[n]\rvert^2
Periodicityejωte^{j\omega t} periodic for any ω\omegaejωne^{j\omega n} periodic only if ω/2π\omega/2\pi rational
Frequency range−∞-\infty to ∞\inftyUnique only over 2π2\pi

A DT signal is often obtained by sampling a CT signal: x[n]=x(nTs)x[n] = x(nT_s).

✓ Answer checked by Claude Opus 5.5 (high effort)

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