1. Kalman filters
2. Parameter-based Kalman filter training: theory and implementation
3. Learning shape and motion from image sequences
4. Chaotic dynamics
5. Dual extended Kalman filter methods
6. Learning nonlinear dynamical system using the expectation-maximization algorithm
7. The unscented Kalman filter
Appendix A. Accuracy of the unscented transformation
Appendix B. Efficient square-root UKF implementations
References
Index
CONTENTS
1. Introduction2. Propagation And noise3. Modulation And Frequency _division Multiple access4. Coding And Time division multiple access5. Spread Spectrum And code_division multiple Access6. Divercity and capacity and Space divition multiple Access7. Wireless ArchitecturesAppendix A: Fourier TheoryAppendix B: Bessel FunctionAppendix C: Random Variables And Random processAppendix D: Matched FiltersAppendix E: Error FunctionAppendix F: Map AlgorithmAppendix G: Capacity Of MIMO LInksAppendix H: EigendecompositionAppendix I: Adaptive Array Antennas
