[PDF.77oj] Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library) (Artech House Radar Library (Hardcover))

Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library) (Artech House Radar Library (Hardcover))

[PDF.vn08] Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library) (Artech House Radar Library (Hardcover))

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 | #1118848 in Books |  2004-01-31 | Original language:English | PDF # 1 |  9.21 x.75 x6.14l,1.20 | File type: PDF | 318 pages

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||1 of 1 people found the following review helpful.| Great Book for People Working on Tracking Problems, Good Book for the rest of us just interested in Particle Filtering|By Ssssssssssssssssssss|I found the first part of this book with the derivation of particle filters and more detailed description of the steps and terms useful. The latter parts with really deep dives into tracking problems wasn't as easily applicable outside o|About the Author|Branko Ristic is a senior research scientist in the Tracking and Sensor Fusion Group at the ISR Division of DSTO, Edinburgh, Australia. In 2002 he was awarded the Defence Science Fellowship by the Information Sciences Laboratory of DSTO. He earn

For most tracking applications the Kalman filter is reliable and efficient, but it is limited to a relatively restricted class of linear Gaussian problems. To solve problems beyond this restricted class, particle filters are proving to be dependable methods for stochastic dynamic estimation. Packed with 867 equations, this cutting-edge book introduces the latest advances in particle filter theory, discusses their relevance to defense surveillance systems, and examines de...

You easily download any file type for your device.Beyond the Kalman Filter: Particle Filters for Tracking Applications (Artech House Radar Library) (Artech House Radar Library (Hardcover))   |  Branko Ristic, Sanjeev Arulampalam, Neil Gordon. A good, fresh read, highly recommended.

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