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£128.26
Springer Non-Cooperative Target Tracking, Fusion and Control
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Description
Key Features
Focuses on practical algorithms for non-cooperative targets instead of purely theoretical frameworks.
Covers advanced technical methods including Gaussian mixture cardinalized probability hypothesis density (CPHD) filters.
Explores complex mathematical concepts such as optimization on manifold and structured sparse representation.
Includes specific applications for tracking air and space-borne targets.
Provides various illustrative and computational examples to aid understanding and application.
Covers filter bank construction and tight frames for advanced data science and information fusion tasks.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3030080811
- Domain
- Amazon UK
- Release Date
- 10 January 2019
- Listed Since
- 09 January 2019
Barcode
No barcode data available
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