Calculate Third Octave Band Response from Narrowband Data

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SUMMARY

This discussion focuses on converting narrowband frequency response data into third-octave band representation for acoustic modeling of airfoil noise. The primary method involves applying an A-weighted filter to the power spectrum of the signal, utilizing the formula Lp(ƒ)=20log(P(ƒ)/P0). This process requires calculating the A-weighted filter at each third-octave band center frequency and summing the results to obtain the desired third-octave band levels.

PREREQUISITES
  • Understanding of acoustic modeling principles
  • Familiarity with narrowband frequency response analysis
  • Knowledge of A-weighted filtering techniques
  • Proficiency in signal processing concepts
NEXT STEPS
  • Research A-weighted filter implementation in MATLAB
  • Learn about third-octave band analysis techniques
  • Explore power spectrum calculation methods
  • Investigate acoustic modeling software options for airfoil noise
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Acoustic engineers, signal processing specialists, and researchers involved in noise analysis and modeling, particularly in aerodynamics and airfoil applications.

jasonbot
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I have a signal that I am able to calculate through an acoustic model for airfoil noise. I am told that the model solves for a narrowband frequency response, however, my measurement data is provided in third-octave band representation.

How do I convert my current dataset to the third octave?

Lp(ƒ)=20log(P(ƒ)/P0)
 

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The most common way to convert a narrowband frequency response to third octave is by using the A-weighted filter. This filter takes the power spectrum of the signal and applies a frequency-dependent weighting factor to each frequency bin, which is then summed together to calculate the third-octave band levels. The formula for the A-weighted filter is given by: Lp(ƒ)=20log(P(ƒ)/P0), where P(ƒ) is the power spectrum of the signal and P0 is a reference value. To obtain the third-octave band levels, you will need to calculate the A-weighted filter at each third-octave band center frequency and then sum the results.
 

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