Fundamentals of Stochastic Signals, Systems and Estimation Theory

With Worked Examples

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Éditeur :

Springer

Paru le : 2026-02-16

Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are empl...
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Éditeur

Collection
n.c

Parution
2026-02-16

Pages
701 pages

EAN papier
9783031974083

Branko Kovacevic is a Senior Member of the IEEE; he received the Ph.D. degree from the University of Belgrade, Belgrade, Serbia, in 1984. In 1981, he joined the Faculty of Electrical Engineering, University of Belgrade, where he is currently Professor Emeritus. He is the author of eight books and more than 80 articles in scientific journals. His current research interests include robust estimation, system identification, adaptive and nonlinear filtering, optimal and adaptive control, and digital signal processing. He is a Member of the EURASIP, the WSAES, and the National Association ETRAN and a Corresponding Member of the Academy of Engineering Sciences of Serbia. He was the Recipient of the Outstanding Research Prize of the Institute of Applied Mathematics and Electronics, the Prize of the Serbian Association for Informatics, and the Prize of the Association of Radio Systems Engineers. He is Reviewer of IEEE Transactions on Automatic Control, the IFAC journal Automatica, and Signal Processing. Željko Ðurovic received his Ph.D. degree from the Faculty of Electrical Engineering, University of Belgrade, Yugoslavia, in 1994. His M.Sc. was from the field of multiple target tracking (supervised by Prof. Srdan Stankovic), while his Ph.D. was from the field of estimation theory and supervised by Prof. Branko Kovacevic.  

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EAN PDF
9783031980909
Prix
147,69 €
Nombre pages copiables
7
Nombre pages imprimables
70
Taille du fichier
16200 Ko
EAN EPUB
9783031980909
Prix
147,69 €
Nombre pages copiables
7
Nombre pages imprimables
70
Taille du fichier
62372 Ko

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