Nonlinear Estimation

Explore the intricate world of nonlinear state estimation with "Nonlinear Estimation" by Shovan Bhaumik, published by Taylor & Francis Inc in 2019. This comprehensive hardback edition spans 276 pages and delves into advanced estimation theories, focusing on both particle filters and Gaussian filters.

Bhaumik expertly guides readers through the complexities of Bayesian estimation, emphasizing the use of deterministic sample points. Whether you are a student, researcher, or professional in the field, this book serves as an invaluable resource for understanding the various Gaussian estimators available today.

Enhance your knowledge of nonlinear theories and estimation techniques with this essential addition to your library. Perfect for anyone looking to deepen their understanding of estimation theory, "Nonlinear Estimation" is a must-read for aspiring experts in the field.