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Energy Signals vs. Power Signals: Definitions and Differences

An energy signal has finite total squared magnitude; a power signal has finite, nonzero long-run average squared magnitude. See the equations, examples, and unit caveat.
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In signals and systems, an energy signal has finite total squared magnitude, while a power signal has finite, nonzero long-run average squared magnitude. These are mathematical classifications of a signal—not automatically measurements in joules or watts.

What do energy and power mean for a signal?

For a continuous-time signal x(t), energy sums its squared magnitude across the entire time axis:

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E = ∫−∞∞ |x(t)|² dt

Average power measures the mean squared magnitude over an interval that grows without bound, centered at zero:

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P = limT→∞ (1/T) ∫−T/2T/2 |x(t)|² dt

A signal with finite energy is called an energy signal. A signal with finite, nonzero average power is called a power signal. These definitions are used in Michael D. Adams’s Signals and Systems, Edition 6.0.

How do the two classifications differ?

Classification Defining measure Typical behavior
Energy signal Total squared magnitude over all time is finite. Its long-run average power is zero.
Power signal Long-run average squared magnitude is finite and nonzero. Its total energy is unbounded over an infinite duration.

The categories describe different behavior over time. A finite-energy signal does not have nonzero average power: as the averaging interval grows indefinitely, its finite energy is spread over an ever-longer interval. Conversely, a signal that maintains nonzero average power indefinitely accumulates unbounded total energy.

Examples: a pulse and a sustained waveform

A finite-duration pulse

A pulse with finite amplitude that lasts for a bounded time has finite energy: its squared magnitude contributes only over that finite interval. As the averaging interval expands beyond the pulse, its average power tends to zero. It is therefore an energy signal.

A nonzero periodic waveform

A nonzero periodic waveform repeats indefinitely. Its total energy keeps accumulating, but its average squared magnitude remains finite when averaged over longer intervals. It is a power signal. A sinusoid that continues indefinitely is a familiar example of this behavior.

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Can a signal be both an energy signal and a power signal?

Not under these standard definitions. An energy signal has finite total energy and zero long-run average power; a power signal has finite, nonzero long-run average power and unbounded total energy. The definitions therefore exclude a signal from being both. The distinction is also discussed in Sadasivan Puthusserypady’s 2021 chapter, “Power and Energy.”

How are discrete-time signals classified?

For a discrete-time signal x[n], replace the continuous-time integral with a sum. Its energy is the sum of squared magnitudes over all integer samples, and average power is the long-run average over a growing sample window. The same distinction applies: finite total energy characterizes an energy signal, while finite, nonzero average power with unbounded total energy characterizes a power signal. Nonzero periodic discrete-time signals are a standard power-signal example; see Signal Processing for Communications.

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Do these equations give energy in joules or power in watts?

Not by themselves. The formulas use squared signal magnitude as normalized mathematical measures. If x(t) represents a physical voltage or current, translating its squared magnitude into circuit energy or power requires the relevant circuit relationship and units—for example, the resistance associated with a voltage or current measurement. Do not label the bare integral as joules or the average as watts without specifying those assumptions.

Which measure should you use?

  • Use total energy to describe a finite event, pulse, or burst.
  • Use average power to describe a sustained or periodic signal.
  • Check what the signal represents and its units before interpreting a normalized value as a physical quantity.

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