Averaging is used a number of different ways in Smaart, to try and separate
useful information from extraneous factors such as noise, reverberation and
position-dependent acoustical anomalies. Averaging in Smaart falls into one of
two broad categories, temporal or spatial, and there are some different
options for each type, depending on the measurement type.
Broadly speaker, temporal averaging refers to averaging the data in a measurement over time. Spatial averaging refers to averaging multiple measurement locations together. Temporal averaging is part of the measurement pipeline, where the type of averaging used cannot be changed after the data is captured whereas spatial averaging can be done with live data in real time (averaging multiple spectrum or transfer function engines), or with multiple captured measurements.
Next: Temporal Averaging
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