Principal Vector Analysis Of Scenes Via Spatial Filtering

Data on scenes obtained by multiple spatial filtering operations are combined linearly to form two signals (principal vectors) which drive x and y axes of a light deflector to scan a beam across an output plane. This approach permits us to take account of the statistics of variations of the input and to reduce to a minimum the number of filters used.