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Signals, systems and inference, global edition, Oppenheim, Alan Verghese, George


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Автор: Oppenheim, Alan Verghese, George
Название:  Signals, systems and inference, global edition
ISBN: 9781292156200
Издательство: Pearson Education
Издательство: Pearson education limited
Классификация:

ISBN-10: 1292156201
Обложка/Формат: Paperback
Страницы: 608
Вес: 1.04 кг.
Дата издания: 19.01.2017
Размер: 182 x 232 x 18
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Поставляется из: Англии

Digital Signal Processing: Principles and Applications

Автор: Thomas Holton
Название: Digital Signal Processing: Principles and Applications
ISBN: 1108418449 ISBN-13(EAN): 9781108418447
Издательство: Cambridge Academ
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Цена: 109830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive and mathematically accessible introduction to digital signal processing, with clear explanations of elementary principles, advanced topics, and applications. It features over 600 full-color figures, 200 worked examples, hundreds of end-of-chapter problems, and computational examples of DSP algorithms implemented in Matlab and C.

Remote Sensing with Imaging Radar

Автор: John A. Richards
Название: Remote Sensing with Imaging Radar
ISBN: 3642261132 ISBN-13(EAN): 9783642261138
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As a result, the remote sensing community globally tended to develop strongly around optical imaging until Shuttle missions in the early to mid 1980s and free-flying imaging radar satellites in the early to mid 1990s became available, along with several sophisticated aircraft platforms.

GNSS Software Receivers

Автор: Ignacio Fernandez-Hernandez, Jose A. Lopez-Salcedo, Kai Borre, M. Zahidul H. Bhuiyan
Название: GNSS Software Receivers
ISBN: 1108837018 ISBN-13(EAN): 9781108837019
Издательство: Cambridge Academ
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Цена: 82370.00 T
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Описание: Build and operate multi-GNSS and multi-frequency receivers with state-of-the-art techniques using this up-to-date, complete and easy-to-follow text. Including new signals (BOC) and supported by MATLAB (c) code and digital samples, this practical book is perfect for students and professionals interested in navigation.

Digital signal processing

Автор: Anand, R.
Название: Digital signal processing
ISBN: 1683928024 ISBN-13(EAN): 9781683928027
Издательство: Mare Nostrum (Eurospan)
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Цена: 59730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed to cover the fundamental concepts of digital signal processing, this book introduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and more.

A Glimpse Beyond 5G in Wireless Networks

Автор: Matin M.A.
Название: A Glimpse Beyond 5G in Wireless Networks
ISBN: 303113785X ISBN-13(EAN): 9783031137853
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book gathers the latest research findings on emerging trends in 5G and beyond wireless systems. The authors present and assess different enabling technologies, capabilities, and anticipated communications and computing solutions for 5G and beyond. Topics discussed include new frequency bands, new multiple antenna systems, massive D2D connectivity, new network deployment, and more. These discussions help the readers to understand more advanced research materials for developing new ideas to make a contribution in this field for themselves. This book aims to serve as a virtual and effective bridge between academic research in theory and engineering development in practice. Students, professional, and practitioners who seek to learn the latest development in wireless technologies should find interest in this book.

System Design for Epidemics Using Machine Learning and Deep Learning

Автор: Kanagachidambaresan
Название: System Design for Epidemics Using Machine Learning and Deep Learning
ISBN: 3031197518 ISBN-13(EAN): 9783031197512
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.

Communication Principles for Data Science

Автор: Suh C.
Название: Communication Principles for Data Science
ISBN: 9811980071 ISBN-13(EAN): 9789811980077
Издательство: Springer
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Цена: 51230.00 T
Наличие на складе: Поставка под заказ.
Описание: This book introduces the basic principles underlying the design and analysis of the digital communication systems that have heralded the information revolution. One major goal of the book is to demonstrate the role of the digital communication principles in a wide variety of data science applications, including community detection, computational biology, speech recognition and machine learning. One defining feature of this book is to make an explicit connection between the communication principles and data science problems, as well as to succinctly deliver the “story” of how the communication principles play a role for trending data science applications. All the key “plots” involved in the story are coherently developed with the help of tightly coupled exercise problem sets, and the associated fundamentals are explored mostly from first principles. Another key feature is that it includes programming implementation of a variety of algorithms inspired by fundamentals, together with a brief tutorial of the used programming tools. The implementation is based on Python and TensorFlow. This book does not follow a traditional book-style organization, but is streamlined via a series of lecture notes that are intimately related, centered around coherent storylines and themes. It serves as a textbook mainly for a junior- or senior-level undergraduate course, yet is also suitable for a first-year graduate course. Readers benefit from having a good background in probability and random processes, and basic familiarity with Python. But the background can be supplemented by almost self-contained materials, as well as by numerous exercise problems intended for elaborating on non-trivial concepts. In addition, Part III for data science applications should provide motivation and insights to students and even professional scientists who are interested in the field.

Generation, Detection and Processing of Terahertz Signals

Автор: Acharyya Aritra, Biswas Arindam, Das Palash
Название: Generation, Detection and Processing of Terahertz Signals
ISBN: 9811649464 ISBN-13(EAN): 9789811649462
Издательство: Springer
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Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains detailed descriptions and associated discussions regarding different generation, detection and signal processing techniques for the electrical and optical signals within the THz frequency spectrum (0.3–10 THz). It includes detailed reviews of some recently developed electronic and photonic devices for generating and detecting THz waves, potential materials for implementing THz passive circuits, some newly developed systems and methods associated with THz wireless communication, THz antennas and some cutting-edge techniques associated with the THz signal and image processing. The book especially focuses on the recent advancements and several research issues related to THz sources, detectors and THz signal and image processing techniques; it also discusses theoretical, experimental, established and validated empirical works on these topics. The book caters to a very wide range of readers from basic science to technological experts as well as students.

Haskell School of Music

Автор: Hudak Paul
Название: Haskell School of Music
ISBN: 1108416756 ISBN-13(EAN): 9781108416757
Издательство: Cambridge Academ
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Цена: 50680.00 T
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Описание: This book teaches functional programming through creative applications in music and sound synthesis. Readers will learn the Haskell programming language and explore numerous ways to create music and design virtual instruments with concise, elegant code.

Information-Theoretic Methods in Data Science

Автор: Miguel R. D. Rodrigues, Yonina C. Eldar
Название: Information-Theoretic Methods in Data Science
ISBN: 1108427138 ISBN-13(EAN): 9781108427135
Издательство: Cambridge Academ
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Цена: 90810.00 T
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Описание: The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.

Fog Computing for Healthcare 4.0 Environments

Автор: Tanwar, Sudeep
Название: Fog Computing for Healthcare 4.0 Environments
ISBN: 3030461963 ISBN-13(EAN): 9783030461966
Издательство: Springer
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Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an analysis of the role of fog computing, cloud computing, and Internet of Things in providing uninterrupted context-aware services as they relate to Healthcare 4.0. It also considers aspects required to manage the complexity of fog computing for Healthcare 4.0 and also develops a comprehensive taxonomy.

Secure Networked Inference with Unreliable Data Sources

Автор: Aditya Vempaty; Bhavya Kailkhura; Pramod K. Varshn
Название: Secure Networked Inference with Unreliable Data Sources
ISBN: 9811347654 ISBN-13(EAN): 9789811347658
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book presents theory and algorithms for secure networked inference in the presence of Byzantines. It derives fundamental limits of networked inference in the presence of Byzantine data and designs robust strategies to ensure reliable performance for several practical network architectures. In particular, it addresses inference (or learning) processes such as detection, estimation or classification, and parallel, hierarchical, and fully decentralized (peer-to-peer) system architectures. Furthermore, it discusses a number of new directions and heuristics to tackle the problem of design complexity in these practical network architectures for inference.


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