Based on the popular Artech House classic, Digital Communication Systems Engineering with Software-Defined Radio, this book provides a practical approach to quickly learning the software-defined radio (SDR) concepts needed for work in the field. This up-to-date volume guides readers on how to quickly prototype wireless designs using SDR for real-world testing and experimentation. This book explores advanced wireless communication techniques such as OFDM, LTE, WLA, and hardware targeting. Readers will gain an understanding of the core concepts behind wireless hardware, such as the radio frequency front-end, analog-to-digital and digital-to-analog converters, as well as various processing technologies. Moreover, this volume includes chapters on timing estimation, matched filtering, frame synchronization message decoding, and source coding. The orthogonal frequency division multiplexing is explained and details about HDL code generation and deployment are provided. The book concludes with coverage of the WLAN toolbox with OFDM beacon reception and the LTE toolbox with downlink reception. Multiple case studies are provided throughout the book. Both MATLAB and Simulink source code are included to assist readers with their projects in the field.

With 300 figures, tables, and equations, this book presents a unified approach to image quality research and modeling. The author discusses the results of different, calibrated psychometric experiments can be rigorously integrated to construct predictive software using Monte Carlo simulations and provides numerous examples of viable field applicati

Covering the subjects of communication sciences and disorders and speech pathology, this text on instrumentation is an introduction for students in the speech and hearing sciences.

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. - Covers all major DSP topics - Full of insider information and shortcuts - Basic techniques and algorithms explained without complex numbers

The subject of Digital Signal Processing (DSP) is enormously complex, involving many concepts, probabilities, and signal processing that are woven together in an intricate manner. To cope with this scope and complexity, many DSP texts are often organized around the “numerical examples” of a communication system. With such organization, readers can see through the complexity of DSP, they learn about the distinct concepts and protocols in one part of the communication system while seeing the big picture of how all parts fit together. From a pedagogical perspective, our personal experience has been that such approach indeed works well.Based on the authors’ extensive experience in teaching and research, Digital Signal Processing: a breadth-first approach is written with the reader in mind. The book is intended for a course on digital signal processing, for seniors and undergraduate students. The subject has high popularity in the field of electrical and computer engineering, and the authors consider all the needs and tools used in analysis and design of discrete time systems for signal processing.Key features of the book include:• The extensive use of MATLAB based examples to illustrate how to solve signal processing problems. The textbook includes a wealth of problems, with solutions• Worked-out examples have been included to explain new and difficult concepts, which help to expose the reader to real-life signal processing problems• The inclusion of FIR and IIR filter design further enrich the contents

Modern signal and image acquisition systems used in the field of cardiology acquire, analyze, and store data digitally. Surface electrocardiography, intra-cardiac electrogram recording, echocardiograms, x-ray, magnetic resonance imaging, and computed tomography are among the modalities in the cardiology field where signal processing is applied. Digital signal processing techniques allow us to automate many of the analyses that had previously been done manually with greater precision, accuracy and speed, as well as detect features and patterns in data that may be too subtle to observe by eye. As more cardiologists are becoming more reliant on such technology, a basic understanding of digital signals and the techniques used to extract information from these signals are required.

Although the electroencephalogram - discovered more than a century ago - has been used for years as a non-invasive diagnostic tool, it is still poorly understood. In this book, John Barlow describes an ingenious new hypothesis for a comprehensive model of the EEG that is able to emulate a large variety of known EEG patterns with few variables.In contrast to previous hypotheses and models which have treated only selected EEG patterns (rhythmic activity such as alpha activity and sleep spindles seen largely as "filtered noise," or irregular activity, or certain types of epileptiform activity such as spikes) this approach, which is based on an oscillator with two separate input modulations of the extremes and the slopes of waves, covers all types of EEG patterns, and stems from specific features of the EEG itself rather than from arbitrary signals.Barlow describes the hypothesis in detail, then tests predictions for normal and abnormal EEGs with the aid of a hardware model and with specially developed methods of analysis. The hypothesis is further evaluated in the light of extensive reviews of other EEG models and methods of analysis and of the underlying anatomy, physiology, and pathophysiology of cerebral electrical activity. A technological section details the hardware model and the methodology for testing the hypothesis. Appendixes present some new approaches to traditional methods of EEG analysis and artifact minimization, areas in which Barlow has achieved international recognition.John S. Barlow, M.D., is a Neurophysiologist in the Neurology Service at Massachusetts General Hospital, Senior Research Associate in Neurology (Neurophysiology) at Harvard Medical School, and a Research Affiliate in the Research Laboratory of Electronics at the Massachusetts Institute of Technology.