ESTIMATION OF A SYSTEM PULSE TRANSFER FUNCTION IN THE PRESENCE OF NOISE

Abstract

Accurate measurements of system characteristics from limited amounts of data are important in many applications. Some adaptive control systems carry out measurements of plant parameters during normal operation. In communication systems an analogous situation arises in the utilization of time-varying channels (1). Often the application of a special test signal is undersirable so the information must be obtained from ordinary in put output data. The presence of random noise and instrumentation errors can render many meas urements schemes ineffective. Statistical stimation theory provides powerful methods for dealing with this type of problem. Some of these methods are applied to the estimation of the pulse transfer function of a linear system.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1963
Accession Number
AD0411832

Entities

People

  • Morris J. Levin

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Coefficients
  • Communication Systems
  • Control Systems
  • Covariance
  • Cross Correlation
  • Data Science
  • Difference Equations
  • Equations
  • Gaussian Noise
  • Government Procurement
  • Information Science
  • Noise
  • Probability
  • Random Variables
  • Standards
  • Transfer Functions

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design