A Class of Backward-Difference Digital Differential Analyzers for Incremental Computer Realizations.

The digital differential analyzer DDA is a modular digital integrator whose potentialities are extensive when considered as a basic tool for the solution of problems involving integration. With the advent of high-speed large-scale integrated logic, the attractiveness of the DDA as a real-time signal processor or generator has increased significantly. The investigation presents a class of DDAs based on a predictive version of the Newton backward-difference integration algorithm, also called the Adams-Bashforth method. If properly applied, this predictive integrating algorithm is especially useful for real-time processing. Modified author abstract