The noise signal can be extracted from the calculated result by beamforming and can be used as a reference signal for further analysis. The sound sources can be visualized in evolutional two ways; the first one is the result which is coherent to the virtual reference signal, the other one is the result which is incoherent to it. To visualize the coherent component, the result will be a limited map related to the noise radiated from a certain position. On the other hand, to visualize the incoherent component, the map will be a "eliminated" map. With the eliminated map, it is easy to find the weak noise sources which are hidden by primary strong noise sources.
Another advantage is to skip the complicated and time-consuming arrangements of the physical reference sensors. The virtual reference point can be set upon analysis, any considerations are not required during testing or experiment.

Generally, noise source identification using microphone array requires very complicated calculation. So the software is a very important factor to use the system. Noise Vision software is designed with simple and powerful user interface and realizes very fast analysis. From data acquisition to reporting, you can get clear noise source images without any complicated operation. It's very quick even if you want a time resolved animation, virtual reference function, spherical NAH with 3-D model, etc. Also, real-time processing function is available to see the noise source in real time.