Spatial Averaging

Spatial averaging in Smaart works much the same way as temporal averaging. The difference is that in this case, we average measurements taken at different locations, rather than measurements made from a single location at different points in time. Spatial averaging can be useful for helping to separate system response from localized acoustical anomalies at a single location or for getting a broader, more statistical picture of background noise or the overall coverage of a loudspeaker. 

If you have multiple microphones and inputs available, you can do spatial averaging in real time. It can also be done by averaging measurement snapshots captured at different locations. Options for averaging real-time data vs captured data traces are identical however there are some differences in the options for each measurement type (RTA vs transfer functions). Note that for transfer function averages these options apply only to how magnitude response averages are calculated. Phase response averages in Smaart are always calculated from complex data.

Next: Power verses Decibel Averaging