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Mikszath Kalman A sipsirica

Mikszath Kalman Az apró gentry és a nép

Mikszath Kalman A beszélő köntös

Mikszath Kalman A jó palócok

Mikszath Kalman Beszterce ostroma

Mikszath Kalman Tot atyafiak

Mikszath Kalman Akli Miklós

Mikszath Kalman Szent Peter esernyoje

Simon Haykin Kalman Filtering and Neural Networks


State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear. The first chapter offers an introductory treatment of Kalman filters with an emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. Other chapters cover: An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF) Applications of the DEKF learning algorithm to the study of image sequences and the dynamic reconstruction of chaotic processes The dual estimation problem Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman smoothing (EKS) algorithm The unscented Kalman filter Each chapter, with the exception of the introduction, includes illustrative applications of the learning algorithms described here, some of which involve the use of simulated and real-life data. Kalman Filtering and Neural Networks serves as an expert resource for researchers in neural networks and nonlinear dynamical systems. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

15371.82 RUR

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Kalman Segal Śmierć archiwariusza

Kalman J. Kaplan Oedipus The Teacher

Mohinder S. Grewal 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.

13073.75 RUR

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Angus Andrews P. Global Positioning Systems, Inertial Navigation, and Integration


The only comprehensive guide to Kalman filtering and its applications to real-world GPS/INS problems Written by recognized authorities in the field, this book provides engineers, computer scientists, and others with a working familiarity with the theory and contemporary applications of Global Positioning Systems (GPS), Inertial Navigational Systems, and Kalman filters. Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the application of Kalman filtering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as it applies to real-world situations, and provide numerous detailed application examples and practice problems, including GPS-aided INS, modeling of gyros and accelerometers, and WAAS and LAAS. Drawing upon their many years of experience with GPS, INS, and the Kalman filter, the authors present numerous design and implementation techniques not found in other professional references, including original techniques for: * Representing the problem in a mathematical model * Analyzing the performance of the GPS sensor as a function of model parameters * Implementing the mechanization equations in numerically stable algorithms * Assessing computation requirements * Testing the validity of results * Monitoring GPS, INS, and Kalman filter performance in operation In order to enhance comprehension of the subjects covered, the authors have included software in MATLAB, demonstrating the workings of the GPS, INS, and filter algorithms. In addition to showing the Kalman filter in action, the software also demonstrates various practical aspects of finite word length arithmetic and the need for alternative algorithms to preserve result accuracy. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

12352.35 RUR

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Angus Andrews P. Global Positioning Systems, Inertial Navigation, and Integration


An updated guide to GNSS and INS, and solutions to real-world GPS/INS problems with Kalman filtering Written by recognized authorities in the field, this second edition of a landmark work provides engineers, computer scientists, and others with a working familiarity with the theory and contemporary applications of Global Navigation Satellite Systems (GNSS), Inertial Navigational Systems (INS), and Kalman filters. Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the application of Kalman filtering. To that end, the authors explore the various subtleties, common failures, and inherent limitations of the theory as it applies to real-world situations, and provide numerous detailed application examples and practice problems, including GNSS-aided INS, modeling of gyros and accelerometers, and SBAS and GBAS. Drawing upon their many years of experience with GNSS, INS, and the Kalman filter, the authors present numerous design and implementation techniques not found in other professional references. This Second Edition has been updated to include: GNSS signal integrity with SBAS Mitigation of multipath, including results Ionospheric delay estimation with Kalman filters New MATLAB programs for satellite position determination using almanac and ephemeris data and ionospheric delay calculations from single and dual frequency data New algorithms for GEO with L1 /L5 frequencies and clock steering Implementation of mechanization equations in numerically stable algorithms To enhance comprehension of the subjects covered, the authors have included software in MATLAB, demonstrating the working of the GNSS, INS, and filter algorithms. In addition to showing the Kalman filter in action, the software also demonstrates various practical aspects of finite word length arithmetic and the need for alternative algorithms to preserve result accuracy.

12260.86 RUR

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Marek Kalman Jak przygotować dobrej jakości biznesplan w ramach PROW i innych programów

Andreas Spanias An Introduction to Kalman Filtering with MATLAB Examples

Michael Melnick Terror Has No Diary


Of the 7000 Jews living in the Baltic seaport of Libau (Liepaja), Latvia when the Germans invaded on June 21, 1941, only 200 remained alive when the city was liberated May 9,1945. Of these, maybe two dozen were hiding within Libau itself. This story is about 12 of them. Eleven adults were in the care of Robert and Johanna Sedols who hid them in a cellar behind a false wall constructed with the &quot;holy bricks&quot; of the demolished Choral Synagogue; the lone child was cared for by a widow, Otilija Schimelpfenig, in the secure comfort of her home. For their courage and moral stature, the Sedols and Mrs. Schimelpfenig are memorialized as &quot;Righteous Among the Nations&quot; at Yad Vashem. How these 12 Jews arrived at their hiding places, and how they endured until liberation, is a remarkable story, one of miracles. Inscrutable miracles, cast naked upon the ruins by men and women of courage and cunning, not saints.<br><br>The narrational vigor of the telling reflects the striking skill of a sagacious diarist, Kalman Linkimer. When the Germans invaded Libau, Kalman was just shy of 30. He was already a veteran of the Latvian Army, a broadly educated teacher and poet who tutored wealthy gymnasium students, and an habitu&Atilde;&copy; of cafes where he endlessly played chess, sipped espresso, and smoked cigarettes. And more…he was a gay, religious Jew who was an athlete and an avid leftist. Faced with a defiled social contract, Kalman threw off the mask of the gentle aesthete and exposed his true grit. He conceded to no one the mission of chronicling the terror; he was consumed with the need to transmit the pain of evil to those who were not there. Kalman Linkimer was a moral witness.<br><br>Kalman&#39;s chronicle begins on Erev Yom Kippur, 26 September 1944: &quot;Just eleven of us now, buttoned up in a cellar beneath the heat of baking ovens....&quot; With this painful metaphor as backdrop, Kalman recounts how they all came to be there; the twists and turns through the endless night of murder, torture and humiliation inflicted by evil actors entirely empty of empathy; the mass murders in the dunes of Skede, the liquidation of the ghetto, the escapes, the events that taught each of them that a drowning man is not troubled by rain.<br><br>Two-thirds into the narrative, Kalman returns to the &quot;present.&quot; Far from growing familiar with their privileged prison, they behold it every moment with a new horror. The hunger, the illness, the conflicts, and the bombing ever more near. The bipolar illusions, the catatonic routine, and the adulterous entanglement. Their quarantine a panic room bricked in, their world narrows in increments only animals know....Liberation arrives nearly four years after the nightmare began. They emerge from the cellar malnourished, maladroit, and cautiously hopeful. The lone child, wearing a white hat and a flowered dress, stands in the Spring sunshine. Only she is destined to fully heal.

761.73 RUR

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Bruce Gibbs P. Advanced Kalman Filtering, Least-Squares and Modeling. A Practical Handbook


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 changes in real-world behavior. A third goal is discussion of implementation issues that make the estimator more accurate or efficient, or that make it flexible so that model alternatives can be easily compared. The fourth goal is to provide the designer/analyst with guidance in evaluating estimator performance and in determining/correcting problems. The final goal is to provide a subroutine library that simplifies implementation, and flexible general purpose high-level drivers that allow both easy analysis of alternative models and access to extensions of the basic filtering. Supplemental materials and up-to-date errata are downloadable at http://booksupport.wiley.com.

16103.81 RUR

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Dan Simon Optimal State Estimation


A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.

14365.33 RUR

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Виниловая пластинка Агата Кристи - Коварство и любовь


Треклист: А1. Инспектор По... А2. Viva Kalman! А3. Африканка А4. Сытая свинья А5. Танго с дельтапланом А6. Праздник семьи А7. Собачье сердце B1. Аллергия B2. Канкан B3. Холодная любовь B4. Пантера B5. Кондуктор B6. Viva! B7. Бесса мэ...

1820 RUR

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