Summary: This module examines signal power, looking at instantaneous and average power. It uses orthogonality properties to derive a simple expression for average power. It also defines and displays a power spectrum.
An interesting question you could ask about a signal is its average power. A signal's instantaneous power is defined to be its square, as if it were a voltage or current passing through a 1 Ω resistor. The average power is the average of the instantaneous power over some time interval. For a periodic signal, the natural time interval is clearly its period; for nonperiodic signals, a better choice would be entire time or time from onset. For a periodic signal, the average power is the square of the root-mean-squared (rms) value. We define the rms value of a periodic signal to be
What is the rms value of the half-wave rectified sinusoid?
To find the average power in the frequency domain, we need to substitute the spectral representation of the signal into this expression.
| Power Spectrum of a Half-Wave Rectified Sinusoid |
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It could well be that computing this sum is easier than
integrating the signal's square. Furthermore, the contribution
of each term in the Fourier series toward representing the
signal can be measured by its contribution to the signal's
average power. Thus, the power contained in a signal at its
In stereophonic systems, deviation of a sine wave from the ideal is measured by the total harmonic distortion, which equals the total power in the harmonics higher than the first compared to power in the fundamental. Find an expression for the total harmonic distortion for any periodic signal. Is this calculation most easily performed in the time or frequency domain?