FINITE MEMORY NONLINEAR FILTERING OF DIGITAL SEQUENCES

Abstract

The autocorrelation function of sequences generated by the non-linear filtering of binary maximal length sequences are derived. It is shown that the autocorrelation function of the filtered sequences, which are recognized as interleaved sequences, are similar to the autocorrelation function of the original maximal length sequence except for the addition of minor peaks. Other problems considered are the cross-correlation functions of interleaved two-level sequences, binary and non-binary sequences, binary and non-binary sequences orthogonal for all cyclic shift, the performance of an asynchronous multiple- access system and the hard limiting of non-binary sequences.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1965
Accession Number
AD0621801

Entities

People

  • Jack K. Wolf

Organizations

  • New York University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Computers
  • Contractors
  • Contracts
  • Cross Correlation
  • Department Of Defense
  • Electrical Engineering
  • Engineering
  • Filters
  • Filtration
  • Military Research
  • Multiple Access
  • New York
  • Numbers
  • Probability
  • Scientists
  • Theses

Readers

  • Linear Algebra
  • Parallel and Distributed Computing.
  • Radar Systems Engineering.