Advanced FFT Analysis HSA - frequency and time resolution as you want
Вставка
- Опубліковано 6 сер 2024
- FFT analysis is often used for the acoustic analysis of airborne sound or vibrations. However, this method has a conflict between high-frequency resolution and a high time resolution.
In this tutorial, we present a real alternative to the classical FFT, which offers much more precise insights than an FFT can provide.
How can I use the HSA?
The HSA (High Resolution Spectral Analysis) was invented and developed by HEAD acoustics.
HSA is included in the ASP003 module of the analysis software Artemis SUITE, which offers many more high-performance analyses.
Please contact us or your local sales partner to learn more about this analysis.
info@head-acoustics.de
More information in advance:
cdn.head-acoustics.com/filead... - Наука та технологія
Thank you for a great presentation Till!
That enthusiasm paired with the unique english pronounciation is awesome ;-D
I do my very best 😉. Thanks for your feedback
This is awesome! wished to have the tool in hand
Thanks for your feedback.
Feel free to get in contact with us.
We still have some licences :-) -> www.head-acoustics.com
@@HEADacousticsInternational Test a gas stove at, e.g., five different powers. Record the acoustic signal and the sound pressure level [this latter will not be a precise value, but their ratios will be]. For the acoustic signal, you can use, e.g., the Spectroid or Spectrogram app (there are a lot of apps out there to do FFT on the microphone signal). For the sound pressure level, you can use, e.g., the Andro sensor app. Evaluate the measurement results, please can you solve for me as I am facing for problem
Hi Till! Great video! Sounds like I don't need FFT anymore :) are there any restrictions or any cases where I should rather use simple FFT but not HSA?
HSA is perfect for a multiple tonal frequencies mixture like a gear box / engines / mutliple modes.
For broadband noise, when the source is piece of mood, it will loose its advantages.
I recommend to start your analysis with a standard FFT vs time. That is you base ground. If you want to get better results then calculate an HSA analysis with a soft setting. Like shown in the tutorial. Then you can pimp your results with four more tuning measures. For a first practise on your task it is good to start with a short (5 seconds) snipping of your measurement.
I recommend to start with 2-times enhacement / 8-12 iterations / background suppressed / 90% overlap. If you miss some frequencies you like to see, then increase the number of iterations. Is this is still an overload of colors reduce the number of iterations. Then check the effect of the frequency enhacement. In 5 minutes you will have a analysis plot adapted to your needs. Save this for this application :-)
@@HEADacousticsInternational thanks for the detailed response 👍
Anyone experimented using HSA in Python?
You