Digital Signal Processing and Parallel Algorithms

Advances in signal processing techniques have been fundamental to many technological developments in communications, medicine, consumer electronics and defence. A consequence of this has been a virtua

Intended for students in specialist courses, this book focuses on theoretical and operating principles. It covers the processing of white noise, reception in colored noise, the physical characteristi

Discrete Time Optical Signal Processing provides an introduction to the basic principles, enabling technologies, and methods for the analysis and synthesis and applications of optical filters that pro

A reference on the theory and applications of a new family of transforms which can be used in applications such as filtering, coding, spectral estimation, and any others where a traditional block tran

Utilizing heuristics to present some fundamentals of probability theory, this book discusses the ideas and concepts common to all random problems. It provides readers with the elementary basis of calc

This book discusses signal processing with a specific focus on the respiratory system. It explores using the mathematical tool of signal processing to explain the best and most meaningful analysis of

Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and compl

DSP is utilized in just about every electronic system or device. DSP is taking one piece of information be it data, image, video, or audio, most likely compressing, sending, and filtering it to anothe

Parallel distributed processing is transforming the field of cognitive science.Microcognition provides a clear, readable guide to this emerging paradigm from a cognitivephilosopher's point of view. It

Organized in three sections that cover enduring fundamentals and present practical projects and invaluable appendices, this updated edition gives readers hands-on experience in real-time DSP using a p

Multirate Signal processing can improve system performance and reduce costs in applications ranging from laboratory instruments, cable modems, wireless systems, satellites, Radar, Sonar, and consumer entertainment products. This second edition continues to offer a systematic, clear, and intuitive introduction to multirate signal processing for working engineers and system designers. Significant new material and fresh concepts, including Green Signal Processing techniques have been introduced.The author uses extensive examples and figures to illustrate a wide range of multirate techniques, from basic resampling to leading-edge cascade and multi-stage filter structures. Along the way he draws on extensive research and consulting experience to introduce processing “tricks” shown to maximize performance and efficiency. Coverage includes:• Effect of sampling and resampling in time and frequency domains• Relationships between FIR filter specifications and filter length (# of taps)• Window de

Developing applications that scale well on massively parallel architectures is quite difficult, due to problems with synchronization and communication time as well as fault tolerance. This book review

Signal processing and neural computation have separately and significantly influencedmany disciplines, but the cross-fertilization of the two fields has begun only recently. Researchnow shows that eac

This book is a collection of interdisciplinary paradigms related to two important research fields, biomedical signal processing, especially related to EEG signal processing and machine learning/soft c

This interdisciplinary book simultaneously deals with three selected fields. Specifically, it presents a joint framework with the unified quantum-mechanical theories of resonant scattering, spectrosco

From the reviews: "[…] the interested reader will find in Bremaud’s book an invaluable reference because of its coverage, scope and style, as well as of the unified treatment it offers of (signal proc

Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the th

This text blends the areas of adaptive inverse control and signal processing in a unique way, allowing engineers in both fields to share tools and techniques. Clearly and intuitively written, the boo