To generate acoustic images from Acoustic Camera measurement data the powerful software suite NoiseImage uses sophisticated algorithms which are a result of gfai tech's long experience in the field of acoustic imaging. The basic for all of your acoustic imaging analysis is the Acoustic Photo 2D module. Building on that more features like spectral analysis, acoustic movie and correlation analysis can be added to flexibly expand the capabilities of the software suite according to your needs. In addition the Advanced Algorithms module allows for unparalleled dynamics, advanced source identification and extended source separation in your acoustic imaging analysis.

Acoustic Photo 2D

This plug-in enables the quick and precise creation of acoustic photos by integrating over a selected time interval to generate precise acoustic imaging information. Besides precise time-related analysis the Acoustic Photo 2D module is the basis for all further processing.

  • Sound maps in 2D
  • Grayscale and edge-detection photos
  • Beamforming in time or frequency domain
  • Listening into the acoustic map
  • Setting info points in the acoustic map
  • Show Lp and Lw values on tooltip
  • Photo exports (e. g. jpg, png …)
  • Freely adjustable integration time – from µs up to your complete measurement time
  • Multi marking of time data

Spectral Analysis

This plug-in allows you to directly generate acoustic images (or movies if combined with the Acoustic Movie module) from a spectrum or spectrogram of your data.

Narrow-band analysis, 1/3 and full octave analysis, spectrum, replay of sound sources and listening to points in the picture are features of this plugin.

A spectrum can be used to display the frequency spectra contained in a time function. 

A spectrogram enables the user to display the frequency spectrum of a single channel or the average frequency spectrum of multiple channels over time. Here, sound pressure level (SPL) is displayed in colour codes.

NLS (non-linear spectral dissection after Dahl) is possible in the spectrum as well as in the spectrogram to optimize the visual representation of the frequency information.

A spectrum can be used to display the frequency spectra contained in a time function. 

A spectrogram enables the user to display the frequency spectrum of a single channel or the average frequency spectrum of multiple channels over time. Here, sound pressure level (SPL) is displayed in color codes.

NLS (non-linear spectral dissection after Dahl) is possible in the spectrum as well as in the spectrogram.

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  • Broad-band and narrow-band analysis
  • 1/3 and full octave analysis
  • Replay of sources
  • Listening to points or user defined areas in the picture
  • Mapping on 2D and 3D as Photo and Video (Movie-on-Movie)
  • Logarithmic and linear presentation
  • Arbitrary window function
  • Block wise averaging
  • NLS (non-linear spectral dissection after Dahl)
  • Generating acoustic map from spectrum and spectrogram
  • Movie on Movie: Acoustic video on optical video

Acoustic Movie

This plug-in allows you to create an acoustic movie out of the data recorded with the Acoustic Camera. This way you can fully benefit from the high sampling rate and can analyze processes which change over time. That includes engine test under different conditions, pass-by measurements or any other type of set-up where your test object or your Acoustic Camera is moving. In post processing you can analyze your data in the recorded speed or adapt it fast forward or slow-motion.

The main use of the Acoustic Movie module is to analyze non-stationary noise sources or to visualize changes over time.

  • Movie on movie: Acoustic video on optical video
  • Audio synchronisation for external high resolution or high speed video applications
  • Slow-motion Acoustic Movie (including slow motion sound replay)
  • Movie controls for all modules
  • Export as .avi with various settings

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Acoustic Camera: Beamforming movie of a high pressure water cleaner

Advanced Algorithms

The Advanced Algorithms Module holds a wide variety of additional algorithms to improve the quality of your results.

It will help you in increasing the dynamic to find hidden or masked sound sources, it offers algorithms for a higher spatial resolution and sound source separation and holds algorithms to identify the exact locations of sound sources where other methods fail.

  • Acoustic Eraser: Enables eliminating or isolating sound sources
  • High Dynamic Range (HDR): Deconvolution in the time domain. For better contrast/source resolution through sidelobe suppression
  • CleanSC: Deconvolution and massive increase of dynamic in frequency domain beamforming
  • Correlation Analysis: Correlation filter and correlation function to correlate your acoustic imaging analysis with additional sensors, user-defined sources or files
  • Delete autocorrelation: Eliminates the inherent noise of the microphones, increases dynamic range
  • Difference Spectra: presents the spectra of two recordings combined in a new window and subtracts the corresponding Spectral Acoustic Photos, thus serving as a tool to display even the smallest changes to the measurement object
  • MUSIC Algorithm: for better localization of tonal sound sources and in the low frequency range
  • Orthogonal Beamforming: Method for sound source analysis and ranking
  • Power Beamforming: A gfai tech unique feature to decrease the complexity in post processing. Power Beamforming works with an easy to use slider to choose the strength of the additionally applied algorithms and it contains a number of beamforming algorithms: Functional beamforming, asymptotic beamforming, inverse functional beamforming and adaptive beamforming for dampening the sidelobes and sharpening the main lobes
  • Rotational Beamforming: For analyzing rotating objects, like fans or rotors and to clearly identify the position of the sound sources on the fast moving objects
  • RMS & Max peak: RMS (effective value) is the common method to integrate an interval over a chosen time and create the image. The Max peak method allows to see the maximum values in the acoustic map whenever they have occurred during the calculation interval
  • Zero Padding: A method to clearly identify the location of highly transient noises or data with a high amount of low frequency content. Zero Padding virtually increases the integration time without adding content

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Correlation Analysis