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Kalman Filter for Beginners : With MATLAB Examples by Phil Kim (2011, Trade...
US $49.99
ApproximatelyS$ 64.16
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
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Shipping:
US $5.22 (approx S$ 6.70) USPS Media MailTM.
Located in: San Diego, California, United States
Delivery:
Estimated between Tue, 16 Sep and Fri, 19 Sep to 94104
Returns:
No returns accepted.
Coverage:
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eBay item number:315890239768
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Level
- Beginner
- ISBN
- 9781463648350
About this product
Product Identifiers
Publisher
CreateSpace
ISBN-10
1463648359
ISBN-13
9781463648350
eBay Product ID (ePID)
109034194
Product Key Features
Number of Pages
234 Pages
Language
English
Publication Name
Kalman Filter for Beginners : with Matlab Examples
Publication Year
2011
Subject
Engineering (General), Mathematical & Statistical Software, Mechanics / Dynamics
Type
Textbook
Subject Area
Computers, Technology & Engineering, Science
Format
Trade Paperback
Dimensions
Item Height
0.5 in
Item Weight
19.1 Oz
Item Length
9.7 in
Item Width
7.4 in
Additional Product Features
Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Original Language
Korean
Dewey Decimal
629.8312
Synopsis
Dwarfs your fear towards complicated mathematical derivations and proofs. Experience Kalman filter with hands-on examples to grasp the essence.A book long awaited by anyone who could not dare to put their first step into Kalman filter. The author presents Kalman filter and other useful filters without complicated mathematical derivation and proof but with hands-on examples in MATLAB that will guide you step-by-step.The book starts with recursive filter and basics of Kalman filter, and gradually expands to application for nonlinear systems through extended and unscented Kalman filters. Also, some topics on frequency analysis including complementary filter are covered.Each chapter is balanced with theoretical background for absolute beginners and practical MATLAB examples to experience the principles explained.Once grabbing the book, you will notice it is not fearful but even enjoyable to learn Kalman filter.
Item description from the seller
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