Fundamentals Of Stochastic Signals, Systems And Estimation Theory 2Ed (Hb)

Kovacevic B.

ISBN 10: 3540709908 / ISBN 13: 9783540709909

Edité par Springer, 2008

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Synopsis :

This book is intended for undergraduate students, graduate students and practical engineers, specializing in the areas ofelectrical communications, signalprocessing and automatic control. It has emergedfrom various lecture notes, in Serbian and in English, that we have compiledand used in different courses at Faculty ofElectrical Engineering, University ofBelgrade, since 1980. The specializing in the areas of electrical communications, signal processing and automatic control required background is a course in a probability theory and basic linear dynamic systems and signals theory (transferfunctions and state space). Appendix A provides a short review ofLaplace and Z-transformfor those who need it. Moreover, one advantageofmodern control theory is that it employs matrix algebra, which results in a simplification in notation and mathematical manipulations when dealing with multivariable systems. Therefore, a brief review of the matrix algebra is presented in Appendix B. Generally speaking, the goal ofthis textbook is to clarify the terms digital filtering, Kalman filtering and other types ofestimation techniques appearing quite often in the present-day professional literature. In the electrical engineering curriculum, a course in Stochastic signals, systems and estimation is introduced to accompany underlying courses in Control systems, Communication systems and Signal processing. In addition, many problems in wireless communications, networking, electronics, photonics, power systems and robotics are now studiedfrom the stochastic signals and systems point of view. This textbook can be also used by other engineering students interested in these topics, especially biomedical, aerospace, civil, traffic, mechanicaland industrial engineering students.

Présentation de l'éditeur: The main theme of this book deals with fundamental concepts underlying stochastic signal or linear stochastic systems, their modelling and analysis as well as model-based signal processing. Two popular stochastic models, the polynomial (or transfer function) model and the state space model are employed in schemes that lead to the estimation of unknown system parameters or states. The book is written for undergraduate and graduate students as well as practising engineers, specializing the the areas of electrical communications, signal processing and automatic control. Many examples illustrate the concepts of this book and the reader learns how to write software implementations of estimators on computers.

Détails bibliographiques

Titre : Fundamentals Of Stochastic Signals, Systems ...
Éditeur : Springer
Date d'édition : 2008
Reliure : Couverture rigide
Etat : Brand New
Edition : 2ème Édition