000 01069nam a2200169 4500
008 161118b xxu||||| |||| 00| 0 eng d
020 _a9781463648350
082 _a629.8312
_bKIM
100 _aKim, Phil
_97984
245 _aKalman Filter for Beginners: With MATLAB Examples
260 _bCreateSpace Independent Publishing
_aUSA
_c2011
300 _a233p
500 _aTranslator’s Preface Author’s Preface Part - 1: Recursive Filter Average Filter Moving Average Filter Low Pass Filter Part - 2: Theory of Kalman Filter Introduction to Kalman Filter Estimation Process Prediction Process System Model Summary of Part 2 Part - 3: Examples Extremely Simple Example Estimating Velocity from Position Tracking an object in an Image Attitude Reference System Part - 4: Nonlinear Kalman Filter Extended Kalman Filter Unscented Kalman Filter Part - 5: Frequency Analysis and Filter High Pass Filter Complementary Filter Index
600 _aComputer Engineering
_959
700 _aHuh, Lynn
_eTranslator
_97985
942 _2ddc
_cLB
999 _c105085
_d105085