Algorithms and Structures for Real-Time Signal Processing. Revised

Abstract

The study of digital signal processing is to a large extent the study of algorithms, but there is a natural classification into algorithms for design and algorithms for actual processing. our research has been mainly concerned with the latter classification and has addressed structural constraints which arise because of resource limits and/or a desire for efficiency. This has led in a number of problems to some algebraic decomposition of algorithms with the intent of achieving parallelism and quality, as measured by the degree of approximation (bias) and roundoff noise and similar errors (variance). More recently, we have been studying problems which involve both classes of algorithms; for example, what is a good design (filter function or window) which must conform to structural constraints dictated by processing considerations. This has proven to be a rich area of application.

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Document Details

Document Type
Technical Report
Publication Date
Feb 04, 1994
Accession Number
ADA276101

Entities

People

  • Clifford T. Mullis

Organizations

  • University of Colorado Boulder

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Communities of Interest

  • Human Systems

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  • Abstracts
  • Algorithms
  • Classification
  • Colorado
  • Computations
  • Decomposition
  • Digital Signal Processing
  • Estimators
  • Military Research
  • Parallel Computing
  • Parallel Processing
  • Power Spectra
  • Scientists
  • Signal Processing
  • Spectra
  • Time Signals
  • Universities

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  • Approximation Theory.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design