Introduction to random signals and applied Kalman filtering

書誌事項

Introduction to random signals and applied Kalman filtering

Wiley, c1992

2nd ed. / Robert Grover Brown, Patrick Y.C. Hwang

  • : [hbk.]
  • : [pbk.]

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注記

Rev. ed. of: Introduction to random signal analysis and Kalman filtering. 1983

System requirements for computer disk (Kalm 'n smooth, version 1.1): IBM PC, PS/2, XT, or AT, or 100% compatible computer; 640KB; DOS 3.2 or later; floppy or hard disk system; supports most standard display adapters and printers

Includes bibliographical references and index

内容説明・目次

巻冊次

: [hbk.] ISBN 9780471525738

内容説明

This second edition of a standard textbook focuses on applied Kalman filtering and its random signal analysis. Important to all control system and communication engineers, the text emphasizes applications, computer software and associated sets of special computer problems. Along with actual case studies, a diskette is included with the book to enable readers to actually see how Kalman filtering works.

目次

  • Probability and Random Variables
  • Mathematical Description of Random Signals
  • Response of Linear Systems to Random Inputs
  • Wiener Filtering
  • The Discrete Kalman Filter
  • Applications and Additional Topics on Discrete Kalman Filtering
  • The Continuous Kalman Filter
  • Discrete Smoothing and Prediction
  • Linearization and Additional Topics on Applied Kalman Filtering
  • The Global Positioning System: A Case Study.
巻冊次

: [pbk.] ISBN 9780471559221

内容説明

The first edition of this textbook has been widely used for over 15 years. This second edition focuses on applied Kalman filtering and its random signal analysis. Important to all control system and communication engineers, the text emphasizes applications, computer software and associated sets of special computer problems. Along with actual case studies, a diskette is included to enable readers to actually see how Kalman filtering works.

目次

  • Probability and Random Variables
  • Mathematical Description of Random Signals
  • Response of Linear Systems to Random Inputs
  • Wiener Filtering
  • The Discrete Kalman Filter
  • Applications and Additional Topics on Discrete Kalman Filtering
  • The Continuous Kalman Filter
  • Discrete Smoothing and Prediction
  • Linearization and Additional Topics on Applied Kalman Filtering
  • The Global Positioning System: A Case Study.

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