Mallick mahendra (16 Ergebnisse)

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: NEW.

Zustand: New. In English.

Zustand: New.

Zustand: New. In English.

Zustand: New. pp. 736.

Hardcover. Zustand: Brand New. 800 pages. 10.43x1.97x7.28 inches. In Stock.

Zustand: New.

Gebunden. Zustand: New. MAHENDRA MALLICK, PhD, is Principal Research Scientist at the Propagation Research Associates, Inc. A senior member of the IEEE, he has served as the associate editor-in-chief of the online journal of the International Society of Information Fusion (ISIF).V.

Zustand: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Advanced Techniques in Tracking and Sensor Management | Theory and Applications | Mahendra Mallick (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Wiley | EAN 9781394332014 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Hardcover. Zustand: Brand New. 1st edition. 736 pages. 9.25x6.50x1.50 inches. In Stock.

Buch. Zustand: Neu. Neuware - Explores advanced tracking, sensor management, and distributed fusion for modern engineering applications Advances in statistical signal processing, sensor networks, and control theory have created a need for a unified resource on nonlinear filtering, multitarget tracking, sensor management, and distributed fusion. Advanced Techniques in Tracking and Sensor Management: Theory and Applications offers an overview of the algorithms, frameworks, and applications shaping tracking and sensor research. Drawing on four decades of research, the book is organized into four parts covering nonlinear filtering, multi-sensor and multitarget tracking, sensor management, and distributed fusion. Topics include particle filtering for constrained systems, random finite set-based multitarget tracking, scheduling and resource allocation, and consensus-based fusion. The book combines theory with applications in radar, surveillance, space situational awareness, and autonomous navigation. Chapters by international experts make complex concepts accessible to engineers, scientists, and graduate students. Both a graduate-level textbook and a practitioner reference for defense, aerospace, and autonomous systems, this book: - Features algorithms for space object tracking, debris detection, and SLAM using finite set statistics- Covers Bayesian filtering and multitarget estimation in cluttered, uncertain environments- Introduces approaches to satellite scheduling and power allocation for MIMO radar systems- Explores distributed state estimation and multi-object density fusion across sensor networks This book is essential reading for graduate courses in statistical signal processing, target tracking, and sensor management in electrical and computer engineering. It is also a valuable resource for engineers and researchers in aerospace, defense, autonomous systems, and surveillance.…

Zustand: New. A unique guide to the state of the art of tracking, classification, and sensor management This book addresses the tremendous progress made over the last few decades in algorithm development and mathematical analysis for filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. Editor(s): Mallick, Mahendra; Krishnamurthy, Vikram; Vo, Ba-Ngu. Num Pages: 736 pages, illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 41. Weight in Grams: 1122. . 2012. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - A unique guide to the state of the art of tracking, classification, and sensor managementThis book addresses the tremendous progress made over the last few decades in algorithm development and mathematical analysis for filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. It provides for the first time an integrated treatment of these advanced topics, complete with careful mathematical formulation, clear description of the theory, and real-world applications.Written by experts in the field, Integrated Tracking, Classification, and Sensor Management provides readers with easy access to key Bayesian modeling and filtering methods, multi-target tracking approaches, target classification procedures, and large scale sensor management problem-solving techniques. Features include:\* An accessible coverage of random finite set based multi-target filtering algorithms such as the Probability Hypothesis Density filters and multi-Bernoulli filters with focus on problem solving\* A succinct overview of the track-oriented MHT that comprehensively collates all significant developments in filtering and tracking\* A state-of-the-art algorithm for hybrid Bayesian network (BN) inference that is efficient and scalable for complex classification models\* New structural results in stochastic sensor scheduling and algorithms for dynamic sensor scheduling and management\* Coverage of the posterior Cramer-Rao lower bound (PCRLB) for target tracking and sensor management\* Insight into cutting-edge military and civilian applications, including intelligence, surveillance, and reconnaissance (ISR)With its emphasis on the latest research results, Integrated Tracking, Classification, and Sensor Management is an invaluable guide for researchers and practitioners in statistical signal processing, radar systems, operations research, and control theory. …