Understanding How the Klippel NFS Works

[Werthers]

I was thinking of getting a Klippel NFS but when I saw that it was a hundred grand I was blown away by the price

So i ordered two

 

[Newman]

Sell one to pay for the other one.

 

[mwmkravchenko]

I was thinking of getting a Klippel NFS but when I saw that it was a hundred grand I was blown away by the price

So i ordered two

You can send me one

 

[pierre]

Automated Sound Field Estimation combining robotized acoustic measurements and the boundary elements method propose another way to measure a speaker via BEM which may be relevant to people in this thread. Happy reading.

 

[amirm]

I glanced at the paper. Was surprised that it provided no value over NFS. The 2000 point scan took 7 hours yet deviated by as much as 30% at 1 kHz.

Also strange is that they did not take advantage of gating for high frequencies, resulting in this observation:

"In detail, the error remains below 15% for frequencies below 1 kHz but quickly rise to 30% around1 kHz, and towards 100% when the validity frequency range is outreached, and the frequency reaches 5 kHz."

I was really hoping they would bring an advantage of much less scan time, more accuracy or both. None seems to be at play. Maybe it is a way to not infringe on any patents Klippel may have.

 

[René - Acculution.com]

I glanced at the paper. Was surprised that it provided no value over NFS. The 2000 point scan took 7 hours yet deviated by as much as 30% at 1 kHz.

Also strange is that they did not take advantage of gating for high frequencies, resulting in this observation:

"In detail, the error remains below 15% for frequencies below 1 kHz but quickly rise to 30% around1 kHz, and towards 100% when the validity frequency range is outreached, and the frequency reaches 5 kHz."

I was really hoping they would bring an advantage of much less scan time, more accuracy or both. None seems to be at play. Maybe it is a way to not infringe on any patents Klippel may have.

This seems to an 2026 article that is the final output from a PhD student, who defended in 2024. I can see two other publications, but they are conference papers. There has likely been a lot of work put into the robotics aspects, so it is perhaps a bit much to ask for something that competes with Klippel's setup. There seems to be a |x| missing in the Sommerfeld condition, and I don't think it is particular easy to follow along, so it would be good if her thesis went into more detail.