Kalman Filtering: Theory and Practice Using MATLAB

2001

506 citations recorded by the source corpus.

Citations in the corpus

Global Positioning Systems, Inertial Navigation, and Integration (2000, unknown): “) GUS steering algorithms for the primary and backup GEO uplink subsystems [66, 158] are discussed in the next section.”
Bayesian Filtering and Smoothing (2013, unknown): “Non-linear extensions of the Kalman filter, the extended Kalman filter (EKF), the statistically linearized filter (SLF), and the unscented Kalman filter (UKF) are presented in Chapter 5.”
Kalman filter estimation of the number of competing terminals in an IEEE 802.11 network (2003, unknown): “[11]).”
Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering (2013, unknown): “In classical signal processing and stochastic control, Gaussian processes are commonly used for modeling temporal phenomena in form of stochastic differential equations (SDE) [7] and the inference procedure is usually solved using Kalman ﬁlter type of methods [5].”
Application of Kalman Filter to Estimate Junction Temperature in IGBT Power Modules (2016, unknown): “The Kalman ﬁlter [22] is a model-based approach that uses a thermal model of the heat conduction path to process the T J measurements resulting from V CE(ON) .”