Orthogonal Waveforms and Filter Banks for Future Communication Systems, Renfors, Markku
Автор: Mukund Padmanabhan; Kenneth W. Martin; G?bor P?cel Название: Feedback-Based Orthogonal Digital Filters ISBN: 0792396553 ISBN-13(EAN): 9780792396550 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Develops the theory of a feedback-based orthogonal digital filter and examines several applications where the filter topology leads to a simple and efficient solution. This book presents the observer-based viewpoint of several signal processing problems, and shows that problems that are treated independently in the literature are in fact linked.
Автор: Mukund Padmanabhan; Kenneth W. Martin; G?bor P?cel Название: Feedback-Based Orthogonal Digital Filters ISBN: 1461285593 ISBN-13(EAN): 9781461285595 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Feedback-Based Orthogonal Digital Filters: Theory, Applications, and Implementation develops the theory of a feedback-based orthogonal digital filter and examines several applications where the filter topology leads to a simple and efficient solution.
Автор: Anish Deb; Srimanti Roychoudhury; Gautam Sarkar Название: Analysis and Identification of Time-Invariant Systems, Time-Varying Systems, and Multi-Delay Systems using Orthogonal Hybrid Functions ISBN: 3319266829 ISBN-13(EAN): 9783319266824 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Non-Sinusoidal Orthogonal Functions in Systems and Control.- Hybrid Function (HF) and Its Properties.- Function Approximation via Hybrid Functions.- Integration and Differentiation Using HF Domain Operational Matrices.- One-Shot Operational Matrices for Integration.- Solution of Linear Differential Equations.- Convolution of Time Functions.- Time Invariant System Analysis: State Space Approach.- Time Varying System Analysis: State Space Approach.- Multi-Delay System Analysis: State Space Approach.- Time Invariant System Analysis: Method of Convolution.- System Identification using State Space Approach: Time Invariant Systems.- System Identification using State Space Approach: Time Varying Systems.- Time Invariant System Identification: via 'Deconvolution'.- System Identification: Parameter Estimation of Transfer Function.
Автор: Peter S.C. Heuberger; Paul M.J. van den Hof; Bo Wa Название: Modelling and Identification with Rational Orthogonal Basis Functions ISBN: 185233956X ISBN-13(EAN): 9781852339562 Издательство: Springer Рейтинг: Цена: 174150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing.
Nine international experts have contributed to this work to produce thirteen chapters that can be read independently or as a comprehensive whole with a logical line of reasoning:
Construction and analysis of generalized orthogonal basis function model structure;
System Identification in a time domain setting and related issues of variance, numerics, and uncertainty bounding;
System identification in the frequency domain;
Design issues and optimal basis selection;
Transformation and realization theory.
Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.
Автор: Peter S.C. Heuberger; Paul M.J. van den Hof; Bo Wa Название: Modelling and Identification with Rational Orthogonal Basis Functions ISBN: 1849969760 ISBN-13(EAN): 9781849969765 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing.
Nine international experts have contributed to this work to produce thirteen chapters that can be read independently or as a comprehensive whole with a logical line of reasoning:
Construction and analysis of generalized orthogonal basis function model structure;
System Identification in a time domain setting and related issues of variance, numerics, and uncertainty bounding;
System identification in the frequency domain;
Design issues and optimal basis selection;
Transformation and realization theory.
Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.
Автор: Abdelhadi, Ahmed Khawar, Awais Clancy, T. Charles Название: Mimo radar waveform design for spectrum sharing with cellular systems ISBN: 3319297236 ISBN-13(EAN): 9783319297231 Издательство: Springer Рейтинг: Цена: 60940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book addresses a novel way to design radar waveforms that can enable spectrum sharing between radars and communication systems, without causing interference to communication systems, and at the same time achieving radar objectives of target detection, estimation, and tracking.
Автор: Mahmoud Название: Networked Filtering and Fusion in Wireless Sensor Networks ISBN: 1482250969 ISBN-13(EAN): 9781482250961 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Невозможна поставка. Описание:
By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems.
The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies. Complete with research supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs. The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help you broaden your understanding of prospective applications and how to address such problems in practice. After reading the book, you will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.
Автор: Ye Geoffrey Li; Gordon L. Stuber Название: Orthogonal Frequency Division Multiplexing for Wireless Communications ISBN: 1441939709 ISBN-13(EAN): 9781441939708 Издательство: Springer Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Orthogonal Frequency Division Multiplexing for Wireless Communications is an edited volume with contributions by leading authorities in the subject of OFDM.
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