Processing

Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advanced knowledge processing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context.

Here is the ultimate guide to creating and extending documents within the application programming interface of the Document Object Model (DOM). The book examines real-world applications of the DOM, including exclusive case studies of DOM-based browsers and applications and provides a comprehensive, language-neutral examination of the DOM and its related applications.

Here is the ultimate guide to creating and extending documents within the application programming interface of the Document Object Model (DOM). The book examines real-world applications of the DOM, including exclusive case studies of DOM-based browsers and applications and provides a comprehensive, language-neutral examination of the DOM and its related applications.

For broadband communications, it was frequency division multiplexing. For optical communications, it was wavelength division multiplexing. Then, for all types of networks it was code division. Breakthroughs in transmission speed were made possible by these developments, heralding next-generation networks of increasing capability in each case. The basic idea is the same: more channels equals higher throughput. For wireless communications, it is space-time coding using multiple-input-multiple-output (MIMO) technology.

Providing a complete treatment of MIMO under a single cover, MIMO System Technology for Wireless Communications assembles coverage on all aspects of MIMO technology along with up-to-date information on key related issues. Contributors from leading academic and industrial institutions around the world share their expertise and lend the book a global perspective. They lead you gradually from basic to more advanced concepts, from propagation modeling and performance analysis to space-time codes, various systems, implementation options and limitations, practical system development considerations, field trials, and network planning issues. Linking theoretical analysis to practical issues, the book does not limit itself to any specific standardization or research/industrial initiatives.

MIMO is the catalyst for the next revolution in wireless systems, and MIMO System Technology for Wireless Communications lays a thorough and complete foundation on which to build the next and future generations of wireless networks.

Useful as a reference work, this book offers a good balance between theoretical concepts and practical solutions, with more rigorous formulation of certain problems such as motion estimation, sampling, basic coding theory. Provides an in-depth exposition of fundamental theory and techniques for video processing, including frequency domain characterization of video signals and visual perception, video sampling and format conversion, two dimensional and three dimensional motion estimation. Also presents techniques important for video communications, including video coding and error control, and up-to-date coverage on recent international standards on video communications. A chapter is devoted to video streaming over Internet and wireless networks, one of the most popular video communication applications. In addition, it discusses processing and communications of stereoscopic and multiview video. Practicing researchers and engineers.

Text Processing in Python describes techniques for manipulation of text using the Python programming language. At the broadest level, text processing is simply taking textual information and doing something with it. This might be restructuring or reformatting it, extracting smaller bits of information from it, or performing calculations that depend on the text. Text processing is arguably what most programmers spend most of their time doing. Because Python is clear, expressive, and object-oriented it is a perfect language for doing text processing, even better than Perl. As the amount of data everywhere continues to increase, this is more and more of a challenge for programmers. This book is not a tutorial on Python. It has two other goals: helping the programmer get the job done pragmatically and efficiently; and giving the reader an understanding - both theoretically and conceptually - of why what works works and what doesn't work doesn't work. Mertz provides practical pointers and tips that emphasize efficent, flexible, and maintainable approaches to the textprocessing tasks that working programmers face daily.

Artificial Intelligence (AI) has been around almost as long as computers have been. It is only relatively recently, however, that some basic AI techniques have been brought to bear on common software problems. This is not a book about AI theory. It is a book about utilizing some AI technologies to enhance the value of both new and existing applications. The four AI areas covered in this book are Speech Recognition, Intelligent Agents, Data Mining, and Rule-Based Systems. Through sample real-world applications, Sara Rea shows how to make the AI technologies both accessible and usable. Most books on AI are either dense, theoretical text books, or else general-interest trade books. This will be the first book to show working .NET developers how to incorporate AI into their daily work.

A practical guide to using the TMS320C31 DSP Starter Kit

With applications and demand for high-performing digital signal processors expanding rapidly, it is becoming increasingly important for today's students and practicing engineers to master real-time digital signal processing (DSP) techniques.

Digital Signal Processing: Laboratory Experiments Using C and the TMS320C31 DSK offers users a practical—and economicalm—approach to understanding DSP principles, designs, and applications. Demonstrating Texas Instruments' (TI) state-of-the-art, low-priced DSP Starter Kit (DSK), this book clearly illustrates and integrates practical aspects of real-time DSP implementation techniques and complex DSP concepts into lab exercises and experiments. TI's TMS320C31 digital signal processor provides substantial performance benefits for designs that have floating-point capabilities supported by high-level language compilers.

Most chapters begin with a theoretical discussion followed by representative examples. With numerous programming examples using TMS320C3x and C code included on disk, this easy-to-read text:

• Covers DSK tools, the architecture, and instructions for the TMS320C31 processor
• Illustrates input and output
• Introduces the z-transform
• Discusses finite impulse response (FIR) filters, including the effect of window functions
• Covers infinite impulse response (IIR) filters
• Discusses the development and implementation of the fast Fourier transform (FFT)
• Examines utility of adaptive filters for different applications

Bridging the gap between theory and application, this book furnishes a solid foundation for DSP lab or project design courses for students and serves as a welcome, practically oriented tutorial in the latest DSP techniques for working professionals.