Random Signals, Estimation Theory, and Kalman Filtering: A Comprehensive Guide
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A comprehensive guide to random signals, estimation theory, and Kalman filtering, covering both theoretical and practical aspects.
Provides a solid foundation in the underlying mathematical and statistical principles.
Includes numerous worked examples and exercises to reinforce understanding.
Suitable for graduate students, researchers, and engineers in various fields, including signal processing, control systems, and communications.
Offers a unified treatment of random signals, estimation theory, and Kalman filtering, making it an invaluable resource for anyone working in these areas.
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