Kalman filter for beginners :

Kalman filter for beginners : With MATLAB examples

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 with...

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Bibliografske podrobnosti
Glavni avtor: Kim, Phil
Format: Knjiga
Jezik:Undetermined
Izdano: United States CreateSpace 2011
Teme:
MATLAB,MATLAB
Oznake: Označite
Brez oznak, prvi označite!
Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
LEADER 01485nam a2200217Ia 4500
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008 210402s9999 xx 000 0 und d
020 |c 2913000 
082 |a 629.8312 
082 |b K49 
100 |a Kim, Phil 
245 0 |a Kalman filter for beginners : 
245 0 |b With MATLAB examples 
245 0 |c Phil Kim ; translated by Lynn Huh 
260 |a United States 
260 |b CreateSpace 
260 |c 2011 
520 |a 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. 
650 |a MATLAB,MATLAB 
910 |b nthai 
980 |a Trung tâm Học liệu Trường Đại học Cần Thơ 

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