The Reconstruction of Analog Signals from the Sign of Their Noisy Samples,

Abstract

The reconstruction of continuous-time signals s(t) from the sign of their (deliberately) contaminated samples is considered. Sequential, generally nonlinear estimates of s(t) are established and their performance is studied; error bounds and convergence rates are derived. The signal s(t) need not be bandlimited. The convergence rates obtained here are faster than those obtained in (4) for nonsequential estimates. The degradation in the reconstruction of the signal, due to transmission over an arbitrary noisy channel, is also investigated and bounds on the additional error are obtained. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1980
Accession Number
ADA087650

Entities

People

  • Elias Masry

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Analog Signals
  • Asymptotic Normality
  • California
  • Computer Science
  • Covariance
  • Data Science
  • Electrical Engineering
  • Information Processing
  • Information Science
  • Modulation
  • Network Science
  • Nonsequential
  • Normality
  • Probability
  • Random Variables
  • Signal Processing
  • Statistics

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Regression Analysis.
  • Speech Processing/Speech Recognition.