| Description |
xiv, 233 pages : illustrations ; 25 cm |
| Contents |
Machine generated contents note: pt. I Recursive Filter -- ch. 1 Average filter -- 1.1. Recursive expression for average -- 1.2. Average filter function -- 1.3. Example: Voltage measurement -- 1.4. Summary -- ch. 2 Moving average filter -- 2.1. Stock price and moving average -- 2.2. Recursive expression of moving average -- 2.3. Moving average filter function -- 2.4. Example: Sonar -- 2.5. Summary -- ch. 3 Low-pass filter -- 3.1. Limitation of moving average -- 3.2. 1st order low-pass filter -- 3.3. Low-pass filter function -- 3.4. Example: Sonar -- 3.5. Summary -- ch. 4 Summary of Part I -- pt. II Theory of Kalman Filter -- ch. 5 Introduction to Kalman filter -- 5.1. Introduction -- 5.2. Kalman filter algorithm -- ch. 6 Estimation process -- 6.1. Introduction -- 6.2. Computation of an estimate -- 6.3. Varying weight -- 6.4. Error covariance -- 6.5. Summary -- ch. 7 Prediction process -- 7.1. Computation of a prediction -- 7.2. Difference between prediction and estimation -- 7.3. Rcinterpretation of the expression for computing an estimate -- ch. 8 System model -- 8.1. Introduction -- 8.2. System model -- 8.3. Covariance of the noise -- ch. 9 Summary of Part II -- pt. III Examples -- ch. 10 Extremely Simple Example -- 10.1. System model -- 10.2. Kalman filter function -- 10.3. Test program -- 10.4. Error covariance and Kalman gain -- 10.5. Summary -- ch. 11 Estimating velocity from position -- 11.1. System model -- 11.2. Kalman filter function -- 11.3. Result of the estimation -- 11.4. Estimating position with velocity -- 11.5. Measuring velocity with sonar -- 11.6. Efficient Kalman filter function -- 11.7. Power of system model -- ch. 12 Tracking an object in an image -- 12.1. System model -- 12.2. Kalman filter function -- 12.3. Test program -- 12.4. Test program 2 -- ch. 13 Attitude reference system -- 13.1. Introduction -- 13.2. Attitude determination with gyros -- 13.3. Attitude determination with gyrosacceleromcters -- 13.4. Attitude determination through sensor fusion -- 1.3.4. System Model -- 1.3.4. Kalman filter for sensor fusion -- pt. IV Nonlinear Kalman filter -- ch. 14 Extended Kalman Filter -- 14.1. Introduction -- 14.2. Linearized Kalman filter -- 14.3. Extended Kalman filter -- 1.4.3. Nonlinear system model -- 1.4.3. Extended Kalman filter algorithm -- 14.4. Example 1: Radar tracking -- 1.4.4. System model -- 1.4.4. Extended Kalman filter function -- 1.4.4. Test program -- 14.5. Example 2: Attitude reference system -- 1.4.5. System model -- 1.4.5. Extended Kalman filter function -- 1.4.5. Test program -- 14.6. Summary -- ch. 15 Unscented Kalman Filter -- 15.1. Introduction -- 15.2. Unscented transformation -- 1.5.2. Introduction -- 1.5.2. Unscented transformation algorithm -- 1.5.2. Unscented transformation function -- 15.3. Unscented Kalman filter -- 1.5.3. Nonlinear system model -- 1.5.3. Comparison with an extended Kalman filter -- 1.5.3. Unscented Kalman filter algorithm -- 15.4. Example 1: Radar tracking -- 1.5.4. System model -- 1.5.4. Unscented Kalman filter function -- 1.5.4. Test program -- 15.5. Example 2: Attitude reference system -- 1.5.5. System model -- 1.5.5. Unscented Kalman filter function -- 1.5.5. Test program -- 15.6. Summary -- pt. V Frequency Analysis and Filter -- ch. 16 High-pass filter -- 16.1. Introduction -- 16.2. Laplace transformation and filter -- 16.3. High-pass filter -- 16.4. High-pass filter function -- 16.5. Example: Sonar -- 16.6. Conclusion -- ch. 17 Complementary filter -- 17.1. Introduction -- 17.2. Concept of complementary filter -- 17.3. Example: Attitude reference system -- 1.7.3. Complementary filter -- 1.7.3. Complementary filter function -- 1.7.3. Test program -- 17.4. Another example of a complementary filter |
| Notes |
Originally published in the Republic of Korea by A-JIN Publishing in 2010 |
|
Includes index |
|
Translated from the Korean |
| SUBJECT |
MATLAB
|
|
MATLAB. fast (OCoLC)fst01365096 |
| Subject |
Kalman filtering
|
|
Kalman filtering.
|
| Author |
Huh, Lynn, translator
|
| ISBN |
1463648359 |
|
9781463648350 |
|
