A Class of Backward-Difference Digital Differential Analyzers for Incremental Computer Realizations.
Abstract
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)
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1973
- Accession Number
- AD0764554
Entities
People
- Eduardo W. Bergamini
Organizations
- Stanford University