sinusoidal

But yeah, the sinusoidal equation doesn't show the initial perturbation, since it's not modeling a perturbation at all.

And as Saul noted a few moments later, most of these curves aren't even sigmoidal, they are sinusoidal.

You could make a spectrum first to determine which candidate frequencies to do the wave form subtraction with, the problem is that the waves are typically not sinusoidal in shape.

But you have many sinusoidal‎ harmonics ready to be fired into the air if you plug a small antenna on it.

For me it was always confusing this way; the concept was much more graspable when visualized in the terms superposition of sinusoidal waves.

The sinc function is sinusoidal and so it more naturally approximates waves.

I'd attribute it to the jerky, springy motion --- it appears not to have the sinusoidal velocity cruve we expect from a friendly mammal.

There is a sinusoidal signal added (i.e.

I've updated it with quad, cubic and sinusoidal modes.

I guess certain sinusoidal patterns sound the same.

Even without pre-mapping there are some estimations that could be made: a signal that follows a clean sinusoidal curve with a certain rate of change could likely be modeled by rural highway driving.

The control would be continuously variable, and it would be great if it also performed the sinusoidal conversion at the same time, essentially: X = Input * sin(control) Y = Input * cos(control)...

AC motors (like the ones Tesla use), work by pushing a sinusoidal wave around the "outside" of the stator, while a similar sinusoidal wave (at a retarded phase) is run inside the stator.

This explains why in signal processing the Gibbs ringing effect looks sinusoidal, and why errors in approximation in Haar look "blocky", etc.

They were using "three-tone sinusoidal replica", or a complicated sine wave sound.

Now I add a protrusion to the "equator." Its length would vary in a sinusoidal fashion, and you could guess the ball is rotating, but still cannot reason it's direction.