STATISTICAL SYNTHESIS OF A PP-WAVE ENHANCER

Abstract

A communication-theoretic rationale for a successful nonlinear processing scheme due to Shimshoni and Smith is provided by showing its resemblance to minimumrms-error estimation. The latter filtering, although 'optimum' under certain assumptions, is rather more complicated in its implementation. As in all such filtering studies, the mean-square error is made up of bias, or signal distortion, and variance (which in linear filtering is attributable only to the noise). It would be interesting to see whether the filtering developed here could be modified to allow a controlled tradeoff between these two sources of error.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 1965
Accession Number
AD0617951

Entities

People

  • Robert Price

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Data Science
  • Department Of Defense
  • Detection
  • Filters
  • Filtration
  • Gaussian Noise
  • Information Science
  • Linear Filtering
  • Linear Polarization
  • Massachusetts
  • Mathematical Filters
  • Noise
  • Observation
  • Seismometers
  • Statistical Analysis
  • Statistics

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  • Vision Science/Vision Psychology/Cognitive Neuroscience.