NoiseImage

Visualize your own Matlab algorithms in Noise Image (2D/3D mapping). This includes an extensive library of sample algorithms (e.g. Time Domain Beamforming, Frequency Domain Beamforming, Clean SC and more) and a documentation on how to implement the algorithms. No C/C++ skills needed.

Synchronous recording of acoustic and optical data with a microphone array with a video camera connected to a data recorder. Optionally, a variety of analog and digital data can be recorded in parallel.

The module's main use is to compare stationary noise sources, different development stages (before and after) or to compare different views on the product.

Precalculated narrowband analysis to create Acoustic Photos from a Spectrum or Spectogram.

Calculation of a series of Acoustic Photos as an Acoustic Movie with up to 192.000 f/s. Includes video sync for external high resolution or high speed video application.

Third dimension to the Acoustic Photo by mapping the sound sources onto a common interior or exterior CAD model instead of a single 2D plane.

Additional functionalities to acquire or edit 3D models of different formats.

Extended analysing methods and algorithms for imaging modules.

Weighting sound sources using sound quality parameters for acoustic imaging.

Order-Spectra as well as Ordergrams with order- and frequency cursors and order filtering allowing analysis of rotating equipment.

Scheduled batchrun analysis and exports as well as scheduling measurement series to be executed at a given time.

Supports connecting CAN Bus data in NoiseImage and allows analysis in combination with classic beamforming application.

Plug-in for nearfield applications and creating images of sound intensity and sound pressure.

This module and the associated hardware is the state-of-the-art in aeroacoustics.

Visualizing the sound propagation in room acoustic measurements.

Importing and exporting channel data. Using third party data acquisition while still analyzing recorded data in NoiseImage.