harmonics

E.g., in classic Fourier series, the error in the approximation is in L2 and is from the L2 orthogonality of the harmonics.

A language is like an instrument, once you know one, learning the next will be much easier, because you already know about rhythm and harmonics.

So there might be modes where structural components have harmonics that are pretty high (several hundred to over 1000 Hz).

Any decent size transformer (or AC motor) in or near your house would hum at 60Hz (plus a bunch of harmonics).

Unless the higher harmonics (5200Hz, 7800Hz, etc) mess up the tone (no idea how strict the old 2600Hz hack used to be).

Even when running at high frequencies they'll often generate harmonics in the audible range.

Scope the frequency response graph - you're probably not hearing the pure 22khz (maybe though!) and rather some of the lower harmonics.

So they have harmonics in common and it makes them sound well together.

Of course it could be that even with amplified higher harmonics for mid-register.

The sinusoid must be quite pure, with strict maximums allowed of harmonics.

Bizarre fingerings and a lot of very unstable harmonics scattered throughout.

(This means they have harmonics that align.

"Single versions of truth" ( single UI, single UX, single algorithms ) for everybody don't help this, they reinforce the feedback loops and amplify these harmonics.

Millions of human minds connected for the first time in an elaborate feedback loop -- we get these non-adaptive non-linear emergent effects, these harmonics, like "flame wars", hatred, and all kinds of weird new forms of harassment.

- some with a HAM ("technician/radio amateur" type license) fly 1.3ghz on the prototype fatshark rx/tx (these will be available soon, but dont play well with 2.4ghz tx due to harmonics) - fatshark dominators or similar goggles, its hard to race on screen albeit some do that too..

Harmonics are well absorbed by tissue but the robot may have issues with them.