Random-data correlator architecture for flow velocity measurement applications

Abstract

The paper discusses a parallel correlator architecture for the measurement of the flow velocity of powdery bulk solids in conveyor pipes. A robust random-data representation allows an efficient trade-off between the processing speed and the circuit complexity of the correlator architecture. This architecture has a high packing density and is well suited for modular very large-scale integration (VLSI).