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  •  Preorder
    Expected by: 01 November 2020

    Ultra-Wideband Surveillance Radar

    Mark E. Davis  2020

    This text describes several UWB surveillance radar prototypes, including Multiple Antenna Surveillance Radar, Multibeam Synthetic Radar, and Geoscience SAR. These illustrate the recent development of multi-mode capabilities and based on the results of these prototypes, a novel multi-mode, multi-channel radar is presented.

  •  Preorder
    Expected by: 01 August 2020

    Numerical Methods for Engineering, 2nd Edition

    An introduction using MATLAB® and computational electromagnetics examples  
    Karl F. Warnick  2020

    The revised and updated second edition of this textbook teaches students to create computer codes used to engineer antennas, microwave circuits, and other critical technologies for wireless communications and other applications of electromagnetic fields and waves. Worked code examples are provided for MATLAB technical computing software.

  •  In stock

    Autonomous Underwater Vehicles

    Design and practice  
    Frank Ehlers  2020

    This book gives a state-of-the-art overview of the hot topic of autonomous underwater vehicle (AUV) design and practice. It covers a wide range of AUV application areas such as education and research, biological and oceanographic studies, surveillance purposes, military and security applications and industrial underwater applications.

  •  Preorder
    Expected by: 01 December 2020

    Electromagnetic Reverberation Chambers

    Recent advances and innovative applications  
    Guillaume Andrieu  2020

    This book contains state-of-the-art information about a range of applications for electromagnetic reverberation chambers. It is written by international experts in electromagnetic theory, electromagnetic compatibility and antenna design and measurement. Each chapter addresses the general concepts and recent advances in its field.

  •  Preorder
    Expected by: 01 December 2020

    Deep Neural Network Design for Radar Applications

    Sevgi Zubeyde Gurbuz  2020

    Novel deep learning models are achieving state-of-the-art accuracy in the area of radar target recognition, sometimes exceeding human-level performance. The book provides an introduction to the key aspects of machine learning that any radar engineer seeking to apply deep learning to radar signal processing ought to be aware of.

  •  Preorder
    Expected by: 01 December 2020

    Advanced Sparsity-Driven Models and Methods for Radar Applications

    Gang Li  2020

    This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. It is based on research from the last decade, with a particular focus on applying compressed-sensing-based models and algorithms to solve practical problems in radar.