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  • Book


  • Authors: Simon Haykin (2003)

  • Design and MATLAB concepts have been integrated in text. Integrates applications as it relates signals to a remote sensing system, a controls system, radio astronomy, a biomedical system and seismology.

  • Book


  • Authors: Daniel Jurafsky (2007)

  • For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology - at all levels and with all modern technologies - this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and langua...

  • Book


  • Authors: Michael Moher (2009)

  • This book include the most comprehensive and rigorous coverage of digital communications in an undergraduate level text in this Fifth Edition. In addition to being the most up-to-date communications text available, Simon Haykin has reintroduced features and coverage that have made this text a best-seller. Haykin now features equal and thorough coverage of both analog and digital material.

  • Book


  • Authors: Ralph Kimball (2004)

  • The Data Warehouse ETL Toolkit is a practical guide for building successful ETL systems. This book is not a survey of all possible approaches! Rather, we build on a set of consistent techniques for delivery of dimensional data. Dimensional modeling has proven to be the most predictable and cost ef- fective approach to building data warehouses. At the same time, because the dimensional structures are the same across many data warehouses, we can count on reusing code modules and specific development logic.

  • Book


  • Authors: - (2003)

  • This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to perfor- mance, security, and social networking), and provides solutions using various data- driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence.

  • Book


  • Authors: Mo Jamshidi (2009)

  • The book covers the complete range of fundamental SoS topics, including modeling, simulation, architecture, control, communication, optimization, and applications. Containing the contributions of pioneers at the forefront of SoS development, the book also offers insight into applications in national security, transportation, energy, and defense as well as healthcare, the service industry, and information technology.

  • Book


  • Authors: Todd Lammle (2000)

  • A study guide for the revised exam covers Cisco IOS commands, RIP and IGRP routing protocols, configuring frame relay LMIs, WAN configurations, LAN segmentation, TCP/IP, and spanning-tree protocol.

  • Sách/Book


  • Authors: Holger Karl (2005)

  • Includes bibliographical references (p. [437]-480) and index. Learn all you need to know about wireless sensor networks! Protocols and Architectures for Wireless Sensor Networks provides a thorough description of the nuts and bolts of wireless sensor networks. The authors give an overview of the state-of-the-art, putting all the individual solutions into perspective with one and other. Numerous practical examples, case studies and illustrations demonstrate the theory, techniques and results presented. The clear chapter structure, listing learning objectives, outline and summarizing key points, help guide the reader expertly through the material. Protocols and Architectures for Wireless Sensor Networks : Covers architecture and communications protocols in detail with practical imp...