Data reduction

Data reduction is the transformation of numerical or alphabetical digital information derived empirically or experimentally into a corrected, ordered, and simplified form.

The on-board data reduction encompasses co-adding the raw frames for thirty minutes, reducing the bandwidth by a factor of 300.

Research has also been carried out on the use of data reduction in wearable (wireless) devices for health monitoring and diagnosis applications.

Another example would be a log-linear model, obtaining a value at a point in m-D space as the product on appropriate marginal subspaces.

Classical principles of data reduction include sufficiency, likelihood, conditionality and equivariance.