ASPECTS OF STOCHASTIC PROCESS IDENTIFICATION USING WIENER CANONICAL FORMS.

Abstract

The Wiener Canonical Expansion (WCE) procedure of Bayes' decision rule is considered from a pattern recognition standpoint in the form of a phi machine. This approach provides some insight about the roles which the various stages and parameters of the expansion assume. Experiments conducted previously for speaker discrimination using the WCE procedure were reperformed in order to correct for a processing error. The conclusions of these revised experiments were the same as in the previous work; speaker identification was not realized with any degree of certainty by processing raw speaker data as if it were representative of some stationary random process. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1969
Accession Number
AD0702118

Entities

People

  • Ernest G. Henrichon Jr.

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Discrimination
  • Identification
  • Pattern Recognition
  • Recognition
  • Stationary
  • Stochastic Processes

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms