Mathematical Approach to Computational Networks

Abstract

This report deals with design principles for iterative computational networks. Such computational networks are used for performing repetitive computations which typically are not data-dependent. Most of the signal processing algorithms, like FFT and filtering, belong to this class. The main idea in this report is the development of mathematical notation for expressing such designs. This notation captures the important features and properties of these computational networks, and can be used for analyzing, designing, and objectively evaluating computational networks.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1978
Accession Number
ADA063333

Entities

People

  • Danny. Cohen

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Circuit Boards
  • Coefficients
  • Computations
  • Data Processing
  • Filters
  • Information Science
  • Networks
  • Notation
  • Polynomials
  • Printed Circuit Boards
  • Printed Circuits
  • Radar
  • Signal Processing
  • Synthetic Aperture Radar
  • Trees (Data Structures)

Fields of Study

  • Computer science

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Neural Network Machine Learning.