R.G. Brown and P.Y.C. Hwang, Introduction to random signals and applied kalman filtering, John Wiley & Sons, New York, 1992. 155  Home/Search Document Not in Database Summary Related Articles Check |
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Integration of GPS/INS and Magnetic Markers - For Advanced Vehicle (Correct)
....heading is the heading error shown in the third left figure. The heading error is nonzero between t = 3, 10Is, since the controller is driving d to zero. The bottom right figure shows the vehicle yaw rate. In the first two seconds, only the GPS measurement was used for system integration. For t [2, 4]s, both GPS and magnetometer measurements were used. For t [5, 10]s, only magnetometer measurements were used. For t 10s, magnetometer measurements were not available and only GPS measurements were used. After the t = 10s, the vehicle was switched to manual control and driven away from the ....
Brown, R. G. and Y.C. Hwang, Introduction to Random Signals and Applied Kalman Filtering, 3rd ed. New York: J. Wiley, 1997.
A New Beacon Navigation System - Casanova, Quijada.. (Correct)
....known position beacons are required, thus simplifying the beacon set up. The system performs up to 15 location measures per second, with a precision figure of 1cm and 0.1 degree. This is suitable for locating mobile robots travelling at moderate speeds (without requiring the use of Kalman filters [3]) The system is currently being employed for the location of a mobile robot in a Science Museum in Valladolid (Spain) which will be open to the public in a few months. The same system could also be employed for locating other moving artifacts, in outdoor and indoor environments, for pointing, ....
Brown, R. G. and P. Y. C. Hwang. 1992. Introduction to Random Signals and Applied Kalman Filtering, Second Edition, John Wiley & Sons, Inc.
Generalized Architecture for Simultaneous Localization.. - Foxlin (2002) (4 citations) (Correct)
.... x , Q x , P xx(0) x(0) status server mfg. specific model library HW H ,H ks ,H kt status st ,k s ,k type 2.3 Complementary EKF for SLACAM We now introduce some expanded notation to handle full SLACAM with a complementary filter. The complementary filter [2] implements the extended Kalman filter (EKF) by using an ordinary linear Kalman filter to estimate errors in the underlying states of interest. A linear model for the propagation of error states is obtained by perturbation analysis from the nonlinear dynamics model of the underlying system. The ....
Brown, R.G. & Hwang, P.Y.C. (1992). Introduction to Random Signals and Applied Kalman Filtering. New York: John Wiley & Sons, Inc.
Constellation: A Wide-Range Wireless MotionTracking.. - Foxlin, Harrington.. (1998) (27 citations) (Correct)
....and velocity. It applies these error estimates immediately to the appropriate integrator outputs as tiny corrections which prevent the accumulation of error and insure that the EKF is always linearizing about the most accurate possible state. Complementary Kalman filtering is discussed in [3], and the details of our complementary EKF approach are provided in [10] g integration EKF coord. transform double angular rates linear accels position IR trigger out accept reject acoustic range measurement beacon sequencer Figure 5: Tracking algorithm flow chart The ....
R. G. Brown and P. Y. C. Hwang. Introduction to Random Signals and Applied Kalman Filtering, 2nd ed. New York: John Wiley & Sons, 1992.
Kinematic Model Aided Inertial Motion Tracking of - Human Upper Limb (Correct)
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R.G. Brown and P.Y.C. Hwang, Introduction to random signals and applied kalman filtering, John Wiley & Sons, New York, 1992. 155
Physics-Based Modelling of Human Motion Using.. - Perse, Pers.. (2005) (Correct)
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R. G. Brown and P. Y. C. Hwang. Introduction to Random Signals and Applied Kalman Filtering: with MATLAB excercises and solutions. John Wiley & Sons,Inc., 3rd edition, 1997.
Bioinformatics Original Paper - Vol No Pages (Correct)
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Brown,R.G. and Hwang,P.Y. (1997) Introduction to Random Signals and Applied Kalman Filtering. John Wiley and Sons, NY.
BeanWatcher: A Tool to Generate Multimedia Monitoring.. - Lins, Nakamura.. (2003) (Correct)
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Brown, R.G., Hwang, P.Y.: Introduction to Random Signals and Applied Kalman Filtering. 2nd edn. John Wiley & Sons, New York, NY, USA (1992)
Frequency And Time Domain Auditory Masking Threshold - Constrained Kalman Filter (Correct)
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R. G. Brown and P. Y. C. Hwang. Introduction to Random Signals and Applied Kalman Filtering, 2nd Edition. John Wiley and Sons, Inc., New York. 1992.
Advances on BYY Harmony Learning: Information Theoretic.. - Xu (2004) (Correct)
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R. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering. New York: Wiley, 1997.
Independent Component Analysis and Extensions with Noise and Time.. - Xu (2003) (Correct)
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Brown, R.G., & Hwang, P.Y.C., Introduction to random signals and Applied Kalman Filtering, John Wiley & Sons, Inc., 1997.
Temporal BYY Encoding, Markovian State Spaces, and Space Dimension.. - Xu (2004) (Correct)
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R. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering. New York: Wiley, 1997.
RF Free Ultrasonic Positioning - McCarthy, Muller (2003) (Correct)
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R. G. Brown and P. Y. Hwang. Introduction to Random Signals and Applied Kalman Filtering. Wiley, Inc, third edition, 1997.
Certifying Optimality of State Estimation Programs - Rosu, Venkatesan, Whittle.. (2003) (Correct)
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R.G. Brown and P. Hwang. Introduction to Random Signals and Applied Kalman Filtering. John Wiley & Son, 3rd edition, 1997.
Extraction and Clustering of Motion Trajectories in Video - Buzan, Sclaroff, Kollios (2004) (Correct)
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R.G. Brown, P.Y.C. Hwang. "Introduction to Random Signals and Applied Kalman Filtering", John Wiley, 1997
Mobility Modeling and Management in Wireless Networks - Zaidi (2002) (Correct)
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R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering, John Wiley & Sons, New York, 3 edition, 1997.
Mobility Estimation Based on an Autoregressive Model - Zaidi, Mark (2004) (2 citations) (Correct)
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R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering. New York: John Wiley & Sons, 3rd ed., 1997.
Unknown - (Correct)
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Brown, R. and Hwang, P. (1992), Introduction to Random Signals and Applied Kalman Filtering, Second Edition, John Wiley & Sons, Inc., New York, New York.
Real-time Mobility Tracking Algorithms for Cellular Networks.. - Zaidi, Mark (2003) (3 citations) (Correct)
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R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering. New York: John Wiley & Sons, 3rd ed., 1997.
Robust Mobility Tracking for Cellular Networks - Brian Mark And (2002) (3 citations) (Correct)
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R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering, John Wiley & Sons, New York, 3 edition, 1997.
On the Verification of Synthesized Kalman Filters Ruben .. - Computer Science.. (2003) (Correct)
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R. G. Brown and P. Hwang. Introduction to Random Signals and Applied Kalman Filtering: with MATLAB Excercises and Solutions. John Wiley & Sons, 1997.
A Mobility Tracking Model for Wireless Ad Hoc Networks - Zaidi, Mark (2003) (1 citation) (Correct)
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R. G. Brown and P. Y. Hwang, Introduction to Random Signals and Applied Kalman Filtering, John Wiley & Sons, New York, 3 edition, 1997.
[] or SUCCESS is Not Enough: Current Technology and Future.. - Schumann, Robinson (Correct)
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R. Brown and P. Hwang. Introduction to Random Signals and Applied Kalman Filtering. John Wiley & Sons, 3rd edition, 1997.
Inertial And Magnetic Tracking Of Limb Segment Orientation For.. - Bachmann (2000) (Correct)
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Brown, R., Hwang, P., Introduction to Random Signals and Applied Kalman Filtering, Second Edition, John Wiley and Sons, Inc., New York, NY, 1992.
Wide Area Camera Calibration Using - Virtual Calibration Objects (Correct)
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R. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering. Second Edition, 1992.
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