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Power Signals

Finite average power, infinite energy, periodic signals.

Mohith N
Updated: 7 April 2026
12 min read

Power signals have finite average power over infinite time and model waveforms that run continuously, like AC mains voltage and carrier waves in radio transmitters. Characterising a signal as a power signal tells the designer the sustained load it places on a system.

tx(t)P avgSinusoidal signal: infinite energy, finite average power
A power signal sustains constant average power. Energy grows without bound as observation time increases.

Core Concept

Average power is computed by integrating |x(t)|^2 over a window of duration 2T, dividing by 2T, and taking the limit as T approaches infinity. If this limit is finite and positive, the signal is a power signal. The signal's energy is then infinite because finite power accumulates indefinitely over all time.

Periodic signals are always power signals. For a periodic signal with period T_0, the average power equals the integral of |x(t)|^2 over exactly one period divided by T_0. You never need to handle the infinite limit directly — periodicity does the heavy lifting.

Discrete-time average power is P = lim(N->inf) [1/(2N+1)] sum(n=-N to N) |x[n]|^2. A periodic sequence with period N has P = (1/N) sum over one period of |x[n]|^2. A unit step u[n] is a power signal with P = 1/2.

Key Formula

P = lim(T->inf) (1/2T) integral(-T to T) |x(t)|^2 dt. For a periodic signal with period T_0: P = (1/T_0) integral(0 to T_0) |x(t)|^2 dt. Condition: 0 < P < infinity, which forces E = infinity.

Example
Given: x(t) = A cos(2 pi f0 t). Find average power.

Formula:
  P = (1/T0) * integral(0 to T0) |x(t)|^2 dt
  where T0 = 1/f0

Step 1: Square the signal
  |A cos(2 pi f0 t)|^2 = A^2 cos^2(2 pi f0 t)

Step 2: Use identity cos^2(theta) = (1 + cos(2 theta)) / 2
  = A^2 * (1 + cos(4 pi f0 t)) / 2

Step 3: Integrate over one period T0
  integral(0 to T0) A^2/2 dt + integral(0 to T0) A^2/2 cos(4 pi f0 t) dt
  = A^2 T0 / 2   +   0   (cosine integrates to zero over full period)

Step 4: Divide by T0
  P = (A^2 T0 / 2) / T0 = A^2 / 2

Final Answer:
  P = A^2 / 2
  x(t) is a power signal (finite P, infinite E)
Exam Tip: Anna University MCQs frequently test whether u(t) is an energy or power signal. Its energy diverges because |u(t)|^2 = 1 for all t >= 0. Its average power over a large window T is approximately T/(2T) = 1/2, which is finite. So u(t) is a power signal with P = 1/2. Do not confuse average power P = A^2/2 with peak power A^2 — the factor of 1/2 comes from the cosine-squared identity and only applies to pure sinusoids.

Properties Summary

  • Definition: P = lim(T->inf) (1/2T) integral |x(t)|^2 dt; power signal if 0 < P < inf.
  • Energy of a power signal is always infinite: E = inf.
  • Periodic signals are power signals; P = (1/T0) * one-period integral of |x|^2.
  • For A cos(omega t + phi): P = A^2 / 2, independent of frequency and phase.
  • Unit step u(t) is a power signal with P = 1/2.
  • A signal cannot simultaneously be both an energy signal and a power signal.
  • Some signals (like e^(t)u(t)) are neither — energy diverges and average power diverges.

Quick Revision

  • Power signal: 0 < P < infinity; E = infinity.
  • P for a periodic signal: integrate |x(t)|^2 over one period, divide by period.
  • Sinusoid A cos(omega t): P = A^2 / 2.
  • Unit step u(t): P = 1/2, so it is a power signal.
  • Exponentially growing signals are neither energy nor power.
  • All periodic signals are power signals without exception.
  • Exam trap: computing P = A^2 instead of A^2/2 for a cosine. Always apply the cos^2 identity before integrating.

Power Signals Quiz

Test your ability to compute average power and classify power signals correctly.

Question 1 of 3

Q1.The average power of x(t) = A * cos(2*pi*f0*t + phi) is: