A SIMPLE PROOF AND SOME EXTENSIONS OF THE SAMPLING THEOREM

Abstract

The sampling theorem states essentially that if the frequency spectrum, or Fourier transform, g(w) of a time function f(t) vanishes for w outside some interval I , then f(t) is completely determined by its values at certain discrete sampling points, whose density is proportional to the length of the interval I . This note gives a method of proof of the sampling theorem, both for the case where the interval I is centered at the origin and where it is not, which is somewhat simpler than the previously given proofs, and at the same time is more rigorous, and yields several useful generalizations to functions of several variables and random functions.

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Document Details

Document Type
Technical Report
Publication Date
Dec 22, 1956
Accession Number
AD0117999

Entities

People

  • Emanuel Parzen

Organizations

  • Stanford University

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Business Administration
  • California
  • Contracts
  • Electrical Engineering
  • Engineering
  • Fourier Series
  • Infinite Series
  • Information Theory
  • Integrals
  • Mathematics
  • Military Research
  • New York
  • Power Spectra
  • Statistics
  • Stochastic Processes
  • Theorems
  • United States

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Mathematical Modeling and Probability Theory.