2014 Sensor Signal Processing for Defence (SSPD)

2014 Sensor Signal Processing for Defence (SSPD)

Author: IEEE Staff

Publisher:

Published: 2014-09-08

Total Pages:

ISBN-13: 9781479978540

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This event will be the 4th conference of the Sensor Signal Processing for Defence (SSPD) and this conference provides a chance to present latest scientific findings in signal processing for defence The emphasis of the Conference is given to the following areas that play a substantial role in improving the performance of defence systems Topics include, but are not limited to, the following Array Signal Processing, Image Processing Radar, Sonar and Acoustic Signal Processing Multimodal Signal Processing Multi target tracking Data Fusion Signal acquisition and sensor management Source separation Anomaly detection Distributed Signal Processing Low Size Weight and Power Solutions Target detection and identification Electro optic sensing


Trends in Digital Signal Processing

Trends in Digital Signal Processing

Author: Yong Ching Lim

Publisher: CRC Press

Published: 2015-07-24

Total Pages: 594

ISBN-13: 9814669512

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Digital signal processing is ubiquitous. It is an essential ingredient in many of today's electronic devices, ranging from medical equipment to weapon systems. It makes the difference between dumb and intelligent systems. This book is organized into five parts: (1) Introduction, which contains an account of Prof. Constantinides' contribution to the


Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022)

Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022)

Author: Wenxing Fu

Publisher: Springer Nature

Published: 2023-03-10

Total Pages: 3985

ISBN-13: 981990479X

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This book includes original, peer-reviewed research papers from the ICAUS 2022, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2022 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.


Spaceborne Synthetic Aperture Radar Remote Sensing

Spaceborne Synthetic Aperture Radar Remote Sensing

Author: Shashi Kumar

Publisher: CRC Press

Published: 2023-03-31

Total Pages: 713

ISBN-13: 100080318X

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This book provides basic and advanced concepts of synthetic aperture radar (SAR), PolSAR, InSAR, PolInSAR, and all necessary information about various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place. It will help readers to use active microwave imaging sensor-based information in geospatial technology and applications. This book: Covers basic and advanced concepts of synthetic aperture radar (SAR) remote sensing Introduces spaceborne SAR sensors Discusses applications of SAR remote sensing in earth observation Explores utilization of SAR data for solid earth, ecosystem, and cryosphere, including imaging of extra-terrestrial bodies Includes PolSAR and PolInSAR for aboveground forest biomass retrieval, as well as InSAR and PolSAR for snow parameters retrieval This book is aimed at researchers and graduate students in remote sensing, photogrammetry, geoscience, image processing, agriculture, environment, forestry, and image processing.


AI, Machine Learning and Deep Learning

AI, Machine Learning and Deep Learning

Author: Fei Hu

Publisher: CRC Press

Published: 2023-06-05

Total Pages: 347

ISBN-13: 1000878872

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Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use. While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security). Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects: This is the first book to explain various practical attacks and countermeasures to AI systems Both quantitative math models and practical security implementations are provided It covers both "securing the AI system itself" and "using AI to achieve security" It covers all the advanced AI attacks and threats with detailed attack models It provides multiple solution spaces to the security and privacy issues in AI tools The differences among ML and DL security and privacy issues are explained Many practical security applications are covered


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.


Entropy Measures for Data Analysis

Entropy Measures for Data Analysis

Author: Karsten Keller

Publisher: MDPI

Published: 2019-12-19

Total Pages: 260

ISBN-13: 3039280325

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Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.


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.