Signal Processing Concepts and Engineering Insights. 


Explore signal processing concepts, algorithm comparisons, and practical engineering insights.
Topics include FFT vs STFT, FRF analysis, filtering techniques, and other signal processing methods used in real engineering workflows. 

How Do You Convert Narrowband Spectrum To Octave Bands?

Introduction

In signal and acoustic analysis, FFT provides a narrowband spectrum with very high resolution.

However, in practical acoustics, we often need:

  • Octave band
  • 1/3-octave band

because they are:

  • Easier to interpret
  • Required by standards

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This leads to a key question:

How do we convert a narrowband (FFT) spectrum into octave bands?


Conversion (Narrow โ†’ 1/3ย โ†’ 1 octave)Narrow band analysis

Narrowband spectrum (refer to Samples/octave band.mmj)


1/3-octave band analysis

1/3-octave band spectrumย (refer to Samples/octave band.mmj)


1-octave band analysis

1-octave band ย spectrumย (refer to Samples/octave band.mmj)


Narrowband Spectrum
  • High resolution (many bins)
  • Each bin represents a small frequency range


Octave Band Spectrum
  • Grouped frequencies
  • Logarithmic spacing
  • Energy summed within bands


Conversion = Grouping + Energy Summation โ†’ You must sum energy, not dB values

Why?

Because dB is logarithmic, not physical values:

0e66cb6df046f.png

Therefore:

  1. Convert dB โ†’ linear
  2. Sum energies
  3. Convert back to dB


Conversion Method (FFT-based)

Step 1: Define Band Limits

Each octave (or 1/3-octave) band has:

  • Center frequency fc
  • Lower bound fl
  • Upper bound fu

For 1/3-octave:5f6c9a7b162a5.png

Step 2: Select FFT Bins

For each band, find all FFT bins where:

879b7714a95fe.png

Step 3: Convert to Linear Scale (Physical values)

If FFT is in dB:

d66f6a97112d7.png

Step 4: Sum Energy (Physical values)

9c6c6f87ffa5e.png

Step 5: Convert Back to dB

d6bc7e0f371c4.png



Conversion Method (Filter-based)

MALMIJAL adopts this method

Instead of FFT grouping:

  • Apply band-pass filters
  • Measure energy per band


Conversion MethodFeature
FFT-basedFast, Flexible
Filter-basedPhysically accuate (standards)



Conclusion

Converting narrowband spectra to octave bands is essential for bridging:

  • Detailed signal analysis
  • Practical acoustic interpretation


Suggested Further Reading