01485nam a2200217Ia 4500 CTU_228381 210402s9999 xx 000 0 und d 2913000 629.8312 K49 Kim, Phil Kalman filter for beginners : With MATLAB examples Phil Kim ; translated by Lynn Huh United States CreateSpace 2011 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. MATLAB,MATLAB nthai Trung tâm Học liệu Trường Đại học Cần Thơ