Random processes : filtering, estimation, and detection /

An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. The filtering, estimation, and detec...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Ludeman, Lonnie C.
Format: Électronique eBook
Langue:Inglés
Publié: Hoboken, N.J. : Wiley-Interscience, ©2003.
Sujets:
Stochastic processes.
Signal processing.
Image processing.
Processus stochastiques.
Traitement du signal.
Traitement d'images.
image processing.
Image processing
Signal processing
Stochastic processes
Mathematics.
Mathematical Statistics.
Physical Sciences & Mathematics.
Processamento de sinais.
Processamento de imagens.
Processos Estocasticos.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • Preface.
  • Experiments and Probability.
  • Random Variables.
  • Estimation of Random Variables.
  • Random Processes.
  • Linear Systems: Random Processes.
  • Nonlinear Systems: Random Processes.
  • Optimum Linear Filters: The Wiener Approach.
  • Optimum Linear Systems: The Kalman Approach.
  • Detection Theory: Discrete Observation.
  • Detection Theory: Continuous Observation.
  • Appendix A. The Bilateral Laplace Transform.
  • Appendix B. Table of Binomial Probabilities.
  • Appendix C. Table of Discrete Random Variables and Properties.
  • Appendix D. Table of Continuous Random Variables and Properties.
  • Appendix E. Table of Gaussian Cumulative Distribution Function.
  • Index.

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