Angebote zu "Gaussian" (11 Treffer)

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Gaussian Harmonic Analysis als eBook Download v...
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Gaussian Harmonic Analysis: Wilfredo Urbina-Romero

Anbieter: Hugendubel.de
Stand: 14.09.2019
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Stochastic Analysis for Gaussian Random Process...
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Stochastic Analysis for Gaussian Random Processes and Fields:With Applications Vidyadhar S. Mandrekar

Anbieter: Hugendubel.de
Stand: 14.09.2019
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Gaussian Harmonic Analysis als Buch von Wilfred...
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Gaussian Harmonic Analysis:1st ed. 2019 Wilfredo Urbina-Romero

Anbieter: Hugendubel.de
Stand: 14.09.2019
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Gaussian Capacity Analysis als Buch von Liguang...
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Gaussian Capacity Analysis:1st ed. 2018 Liguang Liu/ Jie Xiao/ Dachun Yang/ Wen Yuan

Anbieter: Hugendubel.de
Stand: 14.09.2019
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Time Series Analysis by State Space Methods
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This new edition updates Durbin & Koopman´s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis.

Anbieter: buecher.de
Stand: 13.09.2019
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The Analysis Of Maximal Ratio Combiners With Ch...
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The Analysis Of Maximal Ratio Combiners With Channel Estimation Errors:MIMO system performance with imperfect Channel State Info. : the Effects of Gaussian errors in MRC & different fadings Amanpreet Kaur/ Dr. Rajesh Khanna/ Rajesh Khanna

Anbieter: Hugendubel.de
Stand: 04.09.2019
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Vertex coloring als Buch von Sabyasachi Mukhopa...
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Vertex coloring:For the analysis of Gaussian & Laplacian Image Pyramid Sabyasachi Mukhopadhyay/ Paritosh Bhattacharya

Anbieter: Hugendubel.de
Stand: 04.09.2019
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Introduction to a Renormalisation Group Method
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This is a primer on a mathematically rigorous renormalisation group theory, presenting mathematical techniques fundamental to renormalisation group analysis such as Gaussian integration, perturbative renormalisation and the stable manifold theorem. It also provides an overview of fundamental models in statistical mechanics with critical behaviour, including the Ising and phi 4 models and the self-avoiding walk. The book begins with critical behaviour and its basic discussion in statistical mechanics models, and subsequently explores perturbative and non-perturbative analysis in the renormalisation group. Lastly it discusses the relation of these topics to the self-avoiding walk and supersymmetry. Including exercises in each chapter to help readers deepen their understanding, it is a valuable resource for mathematicians and mathematical physicists wanting to learn renormalisation group theory.

Anbieter: buecher.de
Stand: 06.09.2019
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Stochastic Networked Control Systems
111,99 € *
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Networked control systems are increasingly ubiquitous today, with applications ranging from vehicle communication and adaptive power grids to space exploration and economics. The optimal design of such systems presents major challenges, requiring tools from various disciplines within applied mathematics such as decentralized control, stochastic control, information theory, and quantization. A thorough, self-contained book, Stochastic Networked Control Systems: Stabilization and Optimization under Information Constraints aims to connect these diverse disciplines with precision and rigor, while conveying design guidelines to controller architects. Unique in the literature, it lays a comprehensive theoretical foundation for the study of networked control systems, and introduces an array of concrete tools for work in the field. Salient features included: · Characterization, comparison and optimal design of information structures in static and dynamic teams. Operational, structural and topological properties of information structures in optimal decision making, with a systematic program for generating optimal encoding and control policies. The notion of signaling, and its utilization in stabilization and optimization of decentralized control systems. · Presentation of mathematical methods for stochastic stability of networked control systems using random-time, state-dependent drift conditions and martingale methods. · Characterization and study of information channels leading to various forms of stochastic stability such as stationarity, ergodicity, and quadratic stability; and connections with information and quantization theories. Analysis of various classes of centralized and decentralized control systems. · Jointly optimal design of encoding and control policies over various information channels and under general optimization criteria, including a detailed coverage of linear-quadratic-Gaussian models. · Decentralized agreement and dynamic optimization under information constraints. This monograph is geared toward a broad audience of academic and industrial researchers interested in control theory, information theory, optimization, economics, and applied mathematics. It could likewise serve as a supplemental graduate text. The reader is expected to have some familiarity with linear systems, stochastic processes, and Markov chains, but the necessary background can also be acquired in part through the four appendices included at the end. · Characterization, comparison and optimal design of information structures in static and dynamic teams. Operational, structural and topological properties of information structures in optimal decision making, with a systematic program for generating optimal encoding and control policies. The notion of signaling, and its utilization in stabilization and optimization of decentralized control systems. · Presentation of mathematical methods for stochastic stability of networked control systems using random-time, state-dependent drift conditions and martingale methods. · Characterization and study of information channels leading to various forms of stochastic stability such as stationarity, ergodicity, and quadratic stability; and connections with information and quantization theories. Analysis of various classes of centralized and decentralized control systems. · Jointly optimal design of encoding and control policies over various information channels and under general optimization criteria, including a detailed coverage of linear-quadratic-Gaussian models. · Decentralized agreement and dynamic optimization under information constraints. This monograph is geared toward a broad audience of academic and industrial researchers interes

Anbieter: buecher.de
Stand: 06.09.2019
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