000 | 01069nam a2200169 4500 | ||
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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 |