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Beamforming: Sensor Signal Processing for Defence Applications presents a range of important research contributions concerned with sensor;
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This book provides an excellent reference for all professionals working in the area of array signal processing and its applications;
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representation for intelligent sensors Signal Processing-considers the optimization of sensor network performance based on digital signal processing;
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representation for intelligent sensors Signal Processing-considers the optimization of sensor network performance based on digital signal processing;
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design of wireless sensor networks requires consideration for several disciplines such as distributed signal processing, communications and cross;
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applications, the following topics are discussed: sensor fusion, signal knowledge representation, artificial intelligence, fuzzy logic, computer vision;
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and development of partial-update adaptive signal processing algorithms for use in systems development.Partial-Update Adaptive;
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Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different;
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Signal Processing for Intelligent Sensors with MATLAB (R), Second Edition once again presents the key topics and salient information;
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Signal Processing for Intelligent Sensors with MATLAB (R), Second Edition once again presents the key topics and salient information;
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As demand for applications working in extended frequency ranges increases, classical Digital signal processing (DSP) techniques, not;
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Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing;
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chapter includes a wealth of homework problems. This is an invaluable text for graduate students in electrical and computer engineering, and an;
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signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for;
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Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive;
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There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;
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This book presents the signal processing algorithms that have been developed to process the signals acquired by a spherical microphone;
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) is important for modern information engineering. One-- and Multidimensional Signal Processing provides an introduction to the algorithmic basics;
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-squared error beamforming for signal estimation; constant modulus beamforming; robust wideband beamforming using a steered adaptive beamformer to;
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, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems;
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applications of sensors, transducers and wireless sensor networks, signal detection and advanced signal processing, as well as new sensing principles;
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, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. Digital;
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principles of operation and discusses sensor selection, ratings and performance specifications, necessary hardware and software for integration into;
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This book covers control theory signal processing and relevant applications in a unified manner. It introduces the area, takes stock;
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The focus of this book is on array processing and beamforming with Kronecker products. It considers a large family of sensor arrays that;
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Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore;
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