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Compressed Sensing in Radar Signal Processing

Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive;

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Advanced Sparsity-Driven Models and Methods for Radar Applications

classification. Compressed sensing (CS) is one of the most active topics in the signal processing area. By exploiting and promoting the sparsity of the;

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Compressed Sensing for Engineers

Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations;

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Compressed Sensing for Engineers

Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations;

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Compressed Sensing in Li-Fi and Wi-Fi Networks

of compressed sensing, many mathematical techniques are presented, including advanced signal modeling, Nyquist sub-sampling of analog signals, the non;

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Adaptive Radar Signal Processing

, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results have profound;

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Compressive Sensing for Urban Radar

With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed;

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Compressive Sensing for Urban Radar

With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed;

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Compressed Sensing

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics;

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Radar Signal Processing for Autonomous Driving

technologies is radar sensing. This book presents both detection and tracking topics specifically for automotive radar processing. It provides;

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Radar Techniques Using Array Antennas

fully updated and revised, and includes discussion of compressed sensing and its possible application to beam forming, some results for phase;

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Financial Signal Processing and Machine Learning

portfolio theory, sparse learning and compressed sensing, sparse eigen-portfolios, robust optimization, non-Gaussian data-driven risk measures;

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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;

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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;

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Multi-Antenna Synthetic Aperture Radar

reference for researchers and industry professionals working with microwave remote sensing, SAR imaging, and radar signal processing. In addition to;

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Multi-Antenna Synthetic Aperture Radar

reference for researchers and industry professionals working with microwave remote sensing, SAR imaging, and radar signal processing. In addition to;

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Remote Sensing Imagery

synthetic aperture radar, especially for urban remote sensing applications. Jordi Inglada works at the Centre National d Etudes Spatiales (French;

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Radar Signal Analysis and Processing Using MATLAB

Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing;

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Bistatic SAR Data Processing Algorithms

Synthetic Aperture Radar (SAR) is critical for remote sensing. It works day and night, in good weather or bad. Bistatic SAR is a new kind;

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Ultrawideband Radar

regulations and key definitions Nonsinusoidal wave propagation theory Random signal radar Object detection by ground permittivity measurements;

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Biologically-inspired Radar and Sonar

some of the recent work that has been carried out to investigate how sophisticated sensing techniques used in nature can be applied to radar;

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An Introduction to Signal Detection and Estimation

, radar and sonar, radio astronomy, seismology, remote sensing, and instrumentation. The book can be used as a textbook for a single course, as;

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Compressed Sensing und Sparse Rekonstruktion bei Magnetic Particle Imaging

erstellt, indem die Systemantwort auf eine Punktprobe in jedem Voxel gemessen wird. Die Theorie des Compressed Sensing besagt, dass ein Signal;

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Digital Signal Processing Techniques and Applications in Radar Image Processing

of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book;

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Fundamentals of Radar Signal Processing, Third Edition

Your cutting-edge introduction to radar signal processing-fully updated for the latest advances This up-to-date guide provides in-depth;

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Signal Processing for Multistatic Radar Systems

Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms;

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Digital Signal Processing 101

mobile communication to airborne radar systems. This book has been updated to include the latest developments in Digital Signal;

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