Three dimensional object recognition in real time by multiplex spatial filtering

Abstract Assuming matching with main characteristic frequency bands of signals is strictly carried out, high selectivity multiple filters can be made in order to process complex input at one time, containing several different signals not necessarily identical. A new advance has been proved by using particular setting in 3-D pattern recognition: real-time information processing is performed with S/N ratio as high as 15 dB.