Fractional Fourier Transform Techniques for Speech Enhancement
Fractional Fourier Transform Techniques for Speech Enhancement

Author: Prajna Kunche

Publisher: Springer Nature

Published: 2020-04-16

Total Pages: 110

ISBN-13: 3030427463

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This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications. The authors discuss the complexities involved in the highly non- stationary signal processing and the concepts of FRFT for speech enhancement applications. The book explains the fundamentals of FRFT as well as its implementation in speech enhancement. Theories of different FRFT methods are also discussed. The book lets readers understand the new fractional domains to prepare them to develop new algorithms. A comprehensive literature survey regarding the topic is also made available to the reader.

Communication and Control for Robotic Systems
Communication and Control for Robotic Systems

Author: Jason Gu

Publisher: Springer Nature

Published: 2021-08-02

Total Pages: 479

ISBN-13: 9811617775

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This book is a collection of high-quality research articles. The book includes topics specific to the emerging areas of control for robotic systems, wireless communication, and development of embedded systems for robotic applications. The book integrates three important aspects of automation, namely (i) communication, (ii) control, and (iii) embedded design for robotic applications. This book is unique as it provides a unified framework for analysis, design, and deployment of the robotic applications across various engineering and non-engineering disciplines including the three primary aspects mentioned above. Furthermore, the emerging research and development work pertaining to the deployment of intelligent, nonlinear, and embedded control for robotic system for non-standard operating environment due to the widespread application of robotics technology for societal benefit is also a focal point of the book.

Beamforming: Sensor Signal Processing For Defence Applications
Beamforming: Sensor Signal Processing For Defence Applications

Author: Athanassios Manikas

Publisher: World Scientific

Published: 2015-03-19

Total Pages: 311

ISBN-13: 1783262761

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Beamforming: Sensor Signal Processing for Defence Applications presents a range of important research contributions concerned with sensor array signal processing and, in particular, with the superresolution beamformers fundamental to many civilian and defence applications. Both space and space-time (STAP) beamforming algorithms and their application to radar systems are considered with emphasis given to 'look-down' airborne radars, synthetic aperture radar (SAR), arrayed MIMO radar and a number of common wake-wave detection algorithms for two-dimensional SAR imagery. Furthermore, ocean towed arrays, which find applications in a variety of areas such as defence, oil and gas exploration, and geological and marine life studies, are also considered paying particular attention to receiver positional uncertainties resulting from the array's flexible structure. Array geometrical and electrical uncertainties, design of auto-calibration algorithms, beamforming 'pointing' error uncertainties and robustification issues are also presented.This book is self-contained and unified in its presentation, and comprehensively covers some of the classic and fundamental models of beamforming for sensor signal processing. It is suitable as an advanced textbook for graduate students and researchers in the area of signal processing, as well as a reference book for engineers in the defence industry.

Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach, Second Edition
Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach, Second Edition

Author: Joseph R. Guerci

Publisher: Artech House

Published: 2020-06-30

Total Pages: 194

ISBN-13: 1630817740

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This highly-anticipated second edition of the bestselling Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach, the first book on the subject, provides up-to-the-minute advances in the field of cognitive radar (CR). Adaptive waveform methods are discussed in detail, along with optimum resource allocation and radar scheduling. Chronicling the field of cognitive radar (CR), this cutting-edge resource provides an accessible introduction to the theory and applications of CR, and presents a comprehensive overview of the latest developments in this emerging area. It covers important breakthroughs in advanced radar systems, and offers new and powerful methods for combating difficult clutter environments. You find details on specific algorithmic and real-time high-performance embedded computing (HPEC) architectures. This practical book is supported with numerous examples that clarify key topics, and includes more than 370 equations.

Human Centered Computing
Human Centered Computing

Author: Qiaohong Zu

Publisher: Springer

Published: 2018-02-01

Total Pages: 678

ISBN-13: 3319745212

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This book constitutes revised selected papers from the thoroughly refereed proceedings of the Third International Human Centered Computing Conference, HCC 2017, that consolidated and further develops the successful ICPCA/SWS conferences on Pervasive Computing and the Networked World, and which was held in Kazan, Russia, in August 2017.The 48 full and 20 short papers presented in this book together with 2 invited keynotes were carefully reviewed and selected from numerous submissions. This proceedings present recent advances in human machine interfaces, wireless and mobile network technologies, and data analytics, which make computer services truly human-centric.

Applied Artificial Higher Order Neural Networks for Control and Recognition
Applied Artificial Higher Order Neural Networks for Control and Recognition

Author: Zhang, Ming

Publisher: IGI Global

Published: 2016-05-05

Total Pages: 538

ISBN-13: 1522500642

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In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless. Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.

Node Localization in Wireless Sensor Networks
Node Localization in Wireless Sensor Networks

Author: Xue Zhang

Publisher: Morgan & Claypool Publishers

Published: 2016-12-19

Total Pages: 64

ISBN-13: 1627058931

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In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node localization in wireless sensor networks. We describe sensor network localization problems in terms of a detection and estimation framework and we emphasize specifically a cooperative process where sensors with known locations are used to localize nodes at unknown locations. In this class of problems, even if the location of a node is known, the wireless links and transmission modalities between two nodes may be unknown. In this case, sensor nodes are used to detect the location and estimate pertinent data transmission activities between nodes. In addition to the broader problem of sensor localization, this booklet studies also specific localization measurements such as time of arrival (TOA), received signal strength (RSS), and direction of arrival (DOA). The sequential localization algorithm, which uses a subset of sensor nodes to estimate nearby sensor nodes' locations is discussed in detail. Extensive bibliography is given for those readers who want to delve further into specific topics.