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Organic Structures from Spectra
The derivation of structural information from spectroscopic data is now an integral part of organic chemistry courses at all Universities. A critical part of any such course is a suitable set of problems to develop the student’s understanding of how structures are determined from spectra. Organic Structures from Spectra, Fifth Edition is a carefully chosen set of more than 280 structural problems employing the major modern spectroscopic techniques, a selection of 27 problems using 2D-NMR spectroscopy, more than 20 problems specifically dealing with the interpretation of spin-spin coupling in proton NMR spectra and 8 problems based on the quantitative analysis of mixtures using proton and c...
Organic Structures from Spectra
Offers a realistic approach to solving problems used by organic chemists. Covering all the major spectroscopic techniques, it provides a graded set of problems that develop and consolidate students' understanding of organic spectroscopy. This edition contains more elementary problems and a modern approach to NMR spectra.
Designing Effective Instruction
This book includes many new, enhanced features and content. Overall, the text integrates two success stories of practicing instructional designers with a focus on the process of instructional design. The text includes stories of a relatively new designer and another with eight to ten years of experience, weaving their scenarios into the chapter narrative. Throughout the book, there are updated citations, content, and information, as well as more discussions on learning styles, examples of cognitive procedure, and explanations on sequencing from cognitive load theory.
Kalman Filtering
The definitive textbook and professional reference on Kalman Filtering – fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
Advanced Kalman Filtering, Least-Squares and Modeling
This book is intended primarily as a handbook for engineers who must design practical systems. Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the “best” model are also presented. A second goal is to present little known extensions of least squares estimation or Kalman filtering that provide guidance on model structure and parameters, or make the estimator more robust to c...
