Amin moeness (25 Ergebnisse)

Zustand: New. pp. 404.

Zustand: New. In English.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 508.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: Good.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New. In English.

Zustand: New. In English.

Kartoniert / Broschiert. Zustand: New. This book aims to capture recent advances and breakthroughs in in-home radar monitoring of human motions and activities. It addresses three key attributes of radar for in-door human monitoring, namely: motion classification including fall, detection of v.

Paperback. Zustand: Brand New. reprint edition. 472 pages. 9.25x6.25x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. Dr. Moeness G. Amin, Villanova University, USA. Since 1985, Dr. Amin has been with the Faculty of the Department of Electrical and Computer Engineering, Villanova University, PA, USA, where he became the Director of the Center for Advanced Communications, C.

Hardcover. Zustand: Brand New. 450 pages. 10.00x7.00x1.13 inches. In Stock.

Zustand: gut. Radar for Indoor Monitoring: Detection, Classification, and Assessment In englischer Sprache. pages.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Buch. Zustand: Neu. Neuware - Specialized resource providing detailed coverage of recent advances in theory and applications of sparse arrays Sparse Arrays for Radar, Sonar, and Communications discusses various design approaches of sparse arrays, including those seeking to increase the corresponding one-dimensional and two-dimensional virtual array apertures, as well as others that configure the arrays based on solutions of constrained minimization problems. The latter includes statistical bounds and signal-to-interference and noise ratio; in this respect, the book utilizes the recent strides made in convex optimizations and machine learning for sparse array configurability in both fixed and dynamic environments. Similar ideas are presented for sparse array-waveform design. The book also discusses the role of sparse arrays in improving target detection and resolution in radar, improving channel capacity in massive MIMO, and improving underwater target localization in sonar. It covers different sparse array topologies, and provides various approaches that deliver the optimum and semi-optimum sparse array transceivers. . Edited by a world-leading expert in Radar and Signal Processing and contributed to by world-class researchers in their respective fields, Sparse Arrays for Radar, Sonar, and Communications covers topics including: - Utilizing sparse arrays in emerging technologies and showing their offerings in various sensing and communications applications - Applying sparse arrays to different environments and obtain superior performances over conventional uniform arrays - Solving the localization, beamforming, and direction-finding problems using non-uniform array structures for narrowband and wideband signals - Designing sparse array structures for both stationary and moving platforms that produce physical and synthesized array apertures. - Using deep neural networks that learn the underlying complex nonlinear model and output the sparse array configuration using representations of the input data spatio-temporal observations - Solving for optimum sparse array configurations and beamforming coefficients in sensing using iterative convex optimization methodsProviding complete coverage of the recent considerable progress in sparse array design and configurations, Sparse Arrays for Radar, Sonar, and Communications is an essential resource on the subject for graduate students and engineers pursuing research and applications in the broad areas of active/passive sensing and communications.…

Zustand: New.

Zustand: New. In English.

Zustand: New. Dr. Moeness G. Amin has been a faculty member of the Department of Electrical and Computer Engineering at Villanova University, Pennsylvania, USA for nearly 30 years. In 2002, he became the director of the Center for Advanced Communicati.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 400 pages. 10.25x7.25x1.25 inches. In Stock.

Mixed media product. Zustand: Brand New. 1st edition. 604 pages. 9.25x6.00x1.30 inches. In Stock.

Buch. Zustand: Neu. Neuware - With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have hindered high resolution imaging by restricting both bandwidth and aperture, and by imposing uniformity and bounds on sampling rates. Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume.Capturing the latest and most important advances in the field, this state-of-the-art text: Covers both ground-based and airborne synthetic aperture radar (SAR) and uses different signal waveforms Demonstrates successful applications of compressive sensing for target detection and revealing building interiors Describes problems facing urban radar and highlights sparse reconstruction techniques applicable to urban environments Deals with both stationary and moving indoor targets in the presence of wall clutter and multipath exploitation Provides numerous supporting examples using real data and computational electromagnetic modeling Featuring 13 chapters written by leading researchers and experts, Compressive Sensing for Urban Radar is a useful and authoritative reference for radar engineers and defense contractors, as well as a seminal work for graduate students and academia. …