Includes many useful applications.

    

    It can serve both as an excellent introduction for the graduate student with some background in probability theory or as a valuable reference for the practicing ommunication system engineer. For both communities, the treatment is clear and well presented." - Andrew Viterbi, The Viterbi Group Master every key digital communications technology, concept, and technique. Digital Communications, Second Edition is a thoroughly revised and updated edition of the field's classic, best-selling introduction. With remarkable clarity, Dr. Bernard Sklar introduces every digital communication technology at the heart of today's wireless and Internet revolutions, providing a unified structure and context for understanding them -- all without sacrificing mathematical precision. Sklar begins by introducing the fundamentals of signals, spectra, formatting, and baseband transmission. Next, he presents practical coverage of virtually every contemporary modulation, coding, and signal processing technique, with numeric examples and step-by-step implementation guidance. Coverage includes: Signals and processing steps: from information source through transmitter, channel, receiver, and information sinkKey tradeoffs: signal-to-noise ratios, probability of error, and bandwidth expenditureTrellis-coded modulation and Reed-Solomon codes: what's behind the mathSynchronization and spread spectrum solutionsFading channels: causes, effects, and techniques for withstanding fadingThe first complete how-to guide to turbo codes: squeezing maximum performance out of digital connectionsImplementing encryption with PGP, the de facto industry standard Whether you're building wireless systems, xDSL, fiber or coax-based services, satellite networks, or Internet infrastructure, Sklar presents the theory and the practical implementation details you need. With nearly 500 illustrations and 300 problems and exercises, there's never been a faster way to master advanced digital communications. CD-ROM INCLUDED The CD-ROM contains a complete educational version of Elanix' SystemView DSP design software, as well as detailed notes for getting started, a comprehensive DSP tutorial, and over 50 additional communications exercises.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Gödel received public recognition of his work in 1951 when he was awarded the first Albert Einstein Award for achievement in the natural sciences--perhaps the highest award of its kind in the United States. The award committee described his work in mathematical logic as "one of the greatest contributions to the sciences in recent times."However, few mathematicians of the time were equipped to understand the young scholar's complex proof. Ernest Nagel and James Newman provide a readable and accessible explanation to both scholars and non-specialists of the main ideas and broad implications of Gödel's discovery. It offers every educated person with a taste for logic and philosophy the chance to understand a previously difficult and inaccessible subject.New York University Press is proud to publish this special edition of one of its bestselling books. With a new introduction by Douglas R. Hofstadter, this book will appeal students, scholars, and professionals in the fields of mathematics, computer science, logic and philosophy, and science.

    The textbook covers all-important workbenches of CATIA V5R17 with a thorough explanation of all commands, options, and their applications to create real-world products. About 55 mechanical engineering industry examples are used as tutorials and an additional 35 as exercises to ensure that the user can relate their knowledge and understand the design techniques used in the industry to design a product. After reading the textbook, the user will be able to create solid parts, assemblies, drawing views with bill of materials, surface models, and Sheet metal components. Also, the user will learn the editing techniques that are essential to make a successful design. In this book, the author emphasizes on the solid modeling techniques that improve the productivity and efficiency of the user. Salient Features of the Textbook Consists of 15 chapters that are organized in a pedagogical sequence. These chapters cover the Sketching, Modeling, Assembly, Drafting, Wireframe and Surface Design, and Generative Sheetmetal workbenches of CATIA V5R17. The first page of every chapter summarizes the topics that will be covered in it. Additional information is provided throughout the book in the form of tips and notes. Self-evaluation test and review questions are provided at the end of each chapter so that the users can assess their knowledge.Free Teaching and Learning Resources Online technical support by contacting techsupport@cadcim.com. All programs used in exercises and examples. Customizable PowerPoint presentations of all chapters in the textbook li>Instructor s Guide with solutions to all review questions and exercises in the textbook. Student projects to enhance the skills Class tests that can be used by faculty in the class To access these free teaching resources, please send your contact information to sales@cadcim.com, mentioning clearly your name, designation, university/college, street street address, city, state, zip, and country.

    This book tells the true story of Cathy’s adopted daughter Lucy.Lucy was born to a single mother who had been abused and neglected for most of her own childhood. Right from the beginning Lucy’s mother couldn’t cope, but it wasn’t until Lucy reached eight years old that she was finally taken into permanent foster care.By the time Lucy is brought to live with Cathy she is eleven years old and severely distressed after being moved from one foster home to another. Withdrawn, refusing to eat and three years behind in her schooling, it is thought that the damage Lucy has suffered is irreversible.But Cathy and her two children bond with Lucy quickly, and break through to Lucy in a way no-one else has been able to, finally showing her the loving home she never believed existed. Cathy and Lucy believe they were always destined to be mother and daughter – it just took them a little while to find each other.

    Covers applied mechanics, strength of materials, hydraulics and fluids mechanics, hydraulic machines, building material irrigation, engineering, public health engineering, and concrete technology.

    Includes a comprehensive chapter on stochastic models for digital image processing. Covers aspects of image representation including luminance, color, spatial and temporal properties of vision, and digitization. Explores various image processing techniques. Discusses algorithm development (software/firmware) for image transforms, enhancement, reconstruction, and image coding.

    Rise of the Machines reclaims the spectacular story of cybernetics, one of the twentieth century’s pivotal ideas.Springing from the mind of mathematician Norbert Wiener amid the devastation of World War II, the cybernetic vision underpinned a host of seductive myths about the future of machines. Cybernetics triggered blissful cults and military gizmos, the Whole Earth Catalog and the air force’s foray into virtual space, as well as crypto-anarchists fighting for internet freedom.In Rise of the Machines, Thomas Rid draws on unpublished sources—including interviews with hippies, anarchists, sleuths, and spies—to offer an unparalleled perspective into our anxious embrace of technology.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    The 'holiday orphans' who dread Christmas and Easter, and Valentine's Day...The unsuspecting wives and the forgiving wives...And the one industry that has risen to the challenge to provide mistresses a safety net...

    Now in a new Ninth Edition, this reader-friendly book has been completely revised and improved to ensure that the learning experience is enhanced. It's built on the strength of Irwin's problem-solving methodology, providing readers with a strong foundation as they advance in the field.

    By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.