The image of the conduction angle is derived from amplifying a sinusoidal signal.

This is usually expressed in degrees, with one complete cycle of a sinusoidal signal being 360 degrees.

It is well known that sinusoidal signals are eigenfunctions of linear, and time-invariant systems.

When a purely sinusoidal signal is distorted, a series of harmonics is superimposed on the original signal.

At the beginning of the presentation, loudspeaker 1 emits a sinusoidal signal with a steep attacking slope.

The transfer function shows the dependence of the network gain on the signal frequency for sinusoidal signals.

Normally the source delivers a sinusoidal signal.

Thus it emerges that a pulse is equivalent to a continuous frequency spectrum of sinusoidal signals.

While this method does represent random noise well, it does not always capture all sinusoidal signals.

However, nonlinear and robust observers are required to extract accurate position and speed estimates from the sinusoidal signals provided by resolvers.