Numerical and Symbolic Algorithms for Application Specific Signal Processing.

Abstract

Work by Prof. Oppenheim and his collaborators is summarized here. The first step in one aspect of our research in the RASSP program involves evaluating the abilities and limitations of current DSP system design tools. We are concerned with what algorithms the tools support, and how the tool abilities might be expanded in the future to support emerging signal processing techniques. Major accomplishments in our recent approximate processing research include: (1) conceptual and mathematical elaboration of approximate process- ing concepts, (2) formulation and implementation of a class of incremental refinement algorithms for the short-time Fourier transform, (3) illustration of design issues in the context of incremental refinement algorithms , (4) continued development of the IPUS-C++ software environment for supporting the design of application systems with embedded approximate signal processing capabilities, and (5) initiation of a project to build a software environment to support algorithm design for approximate signal processing.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 21, 1994
Accession Number
ADA288202

Entities

People

  • Alan V. Oppenheim

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Acoustics
  • Algorithms
  • Computational Science
  • Computations
  • Difference Equations
  • Digital Signal Processing
  • Electrical Engineering
  • Environment
  • Equations
  • Models
  • Parallel Computing
  • Parallel Processing
  • Prototypes
  • Random Variables
  • Signal Processing
  • Simulations

Fields of Study

  • Computer science
  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Image Processing and Computer Vision.
  • Software Engineering.