This anthology—the first of its kind in eight years—collects some of the best and most current research and reflection on the complex interactions... between religion and computer-mediated communication (CMC). The contributions cohere around the central question: how will core religious understandings of identity, community and authority shape and be (re)shaped by the communicative possibilities of Web 2.0? The authors gathered here address these questions in three distinct ways: through contemporary empirical research on how diverse traditions across the globe seek to take up the technologies and affordances of contemporary CMC; through investigations that place these contemporary developments in larger historical and theological contexts; and through careful reflection on the theoretical dimensions of research on religion and CMC. In their introductory and concluding essays, the editors uncover and articulate the larger intersections and patterns suggested by individual chapters, including trajectories for future research.

Digital rights management (DRM) is a set of business models and technologies that allows media companies to protect their intellectual property -- and... profit in the online world. Cowritten by DRM pioneer William Rosenblatt, this lucid primer outlines the state of DRM today for media executives and IT decision-makers, covering business models (such as subscriptions), core technologies (watermarking, encryption, authentication), standards (such as XrML), vendors, and more.

With clear and easy-to-understand explanations, this book covers the fundamental concepts and coding methods of signal compression, whilst still... retaining technical depth and rigor. It contains a wealth of illustrations, step-by-step descriptions of algorithms, examples and practice problems, which make it an ideal textbook for senior undergraduate and graduate students, as well as a useful self-study tool for researchers and professionals. Principles of lossless compression are covered, as are various entropy coding techniques, including Huffman coding, arithmetic coding and Lempel-Ziv coding. Scalar and vector quantization and trellis coding are thoroughly explained, and a full chapter is devoted to mathematical transformations including the KLT, DCT and wavelet transforms. The workings of transform and subband/wavelet coding systems, including JPEG2000 and SBHP image compression and H.264/AVC video compression, are explained and a unique chapter is provided on set partition coding, shedding new light on SPIHT, SPECK, EZW and related methods.

"Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year... graduate students. The prerequisite for this book is a junior-level course in linear continuous-time and discrete-time systems, which is usually required in most universities. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. Practical examples and applications bring the theory to life. This popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing.

A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of... discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.

What are the relations between continuous-time and discrete-time/sampled-data systems, signals, and their spectra? How can digital systems be designed... to replace existing analog systems? What is the reason for having so many transforms, and how do you know which one to use? What do s and z really means and how are they related? How can you use the fast Fourier transform (FFT) and other digital signal processing (DSP) algorithms to successfully process sampled signals? Inside, you'll find the answers to these and other fundamental questions on DSP. You'll gain a solid understanding of the key principles that will help you compare, select, and properly use existing DSP algorithms for an application. You'll also learn how to create original working algorithms or conceptual insights, design frequency-selective and optimal digital filters, participate in DSP research, and select or construct appropriate hardware implementations. Key Features* MATLAB graphics are integrated throughout the text to help clarify DSP concepts. Complete numerical examples clearly illustrate the practical uses of DSP.* Uniquely detailed coverage of fundamental DSP principles provides the rationales behind definitions, algorithms, and transform properties.* Practical real-world examples combined with a student-friendly writing style enhance the material.* Unexpected results and thought-provoking questions are provided to further spark reader interest.* Over 525 end-of-chapter problems are included, with complete solutions available to the instructor (168 are MATLAB-oriented).

Written by 2 foremost authorities, this well-respected reference discusses the processing of signals using digital techniques. Includes many useful... applications.

Digital Signal Processing: A Computer-Based Approach is intended for a two-semester course on digital signal processing for seniors or first-year... graduate students. Based on user feedback, a number of new topics have been added to the third edition, while some excess topics from the second edition have been removed. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. The book contains more than 500 problems and 150 MATLAB exercises. New topics in the third edition include: short-time characterization of discrete-time signals, expanded coverage of discrete-time Fourier transform and discrete Fourier transform, prime factor algorithm for DFT computation, sliding DFT, zoom FFT, chirp Fourier transform, expanded coverage of z-transform, group delay equalization of IIR digital filters, design of computationally efficient FIR digital filters, semi-symbolic analysis of digital filter structures, spline interpolation, spectral factorization, discrete wavelet transform.