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-disk sampling for high-resolution and wide-swath SAR imaging; when advanced sparse models meet coarsely quantized radar data; sparsity-aware;
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Novel Radar Techniques and Applications presents the state-of-the-art in advanced radar, with emphasis on ongoing novel research and;
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of rainfall Addresses advanced radar sensing principles and applications Covers radar technologies for observing each component of the hydrologic;
Vergelijkbare producten zoals Radar Hydrology
of rainfall Addresses advanced radar sensing principles and applications Covers radar technologies for observing each component of the hydrologic;
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This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Multipath creates ambiguities;
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areas in current radar practice, serving primarily radar practitioners and advanced graduate students. For those needing to;
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ultrawideband (UWB) signals propagation and scattering, materials-penetrating radar techniques for small object detection and imaging, biolocation using;
Vergelijkbare producten zoals Advanced Ultrawideband Radar
or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and;
Vergelijkbare producten zoals Statistical Learning with Sparsity
weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and;
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of hydrometers and establishes the relations between radar observables and physical state parameters. It introduces advanced remote sensing techniques;
Vergelijkbare producten zoals Weather Radar Polarimetry
sparsity-based receivers. Proven methods for mitigating noise and clutter and maximizing output signal power are included in this practical guide;
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involving commonly used sparsity-enforcing tools, presents essential theoretical results, and discusses several state-of-the-art algorithms for;
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, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. The;
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A primary resource for graduate teaching and research in advanced electromagnetic materials, Special Topics in Electromagnetics covers some;
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Principles of Modern Radar: Basic Principles is a comprehensive and modern textbook for courses in radar systems and technology at the;
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classical theory and development methods of radar data processing Provides state-of-the-art research results, including data processing for modern;
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scale regional datasets, and many datasets have been merged to improve scale and accuracy. For each application, decisions are made on which;
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. Optimization with Sparsity-Inducing Penalties presents optimization tools and techniques dedicated to such sparsity-inducing penalties from a general;
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and meteorology. Advanced methods are given on hyperspectral and radar techniques.;
Vergelijkbare producten zoals Remote Sensing in the 21st Century
Advanced Algorithms for Mineral and Hydrocarbon Exploration Using Synthetic Aperture Radar is a research- and practically-based reference;
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possibilities for applied research in microeconomics in the estimation of sophisticated structural models and the evaluation of policy interventions;
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; metaheuristics for optimization problems; advanced numerical methods for scientific computing; advanced numerical techniques for PDEs and applications;
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processing and machine learning as key approaches to quantitative finance. * Offers advanced mathematical tools for high-dimensional portfolio;
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Future: Technologies, Modelling, Applications, Sustainability and Policies provides a comprehensive view of the advanced renewable technologies;
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. Specific design and implementation considerations for physiological monitoring radar systems are then discussed in detail. The authors address;
Vergelijkbare producten zoals Doppler Radar Physiological Sensing
size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead;
Vergelijkbare producten zoals Low overhead Communications in IoT Networks
size of the overhead message, e.g., identification information, pilot symbols for channel estimation, and control data. Such low-overhead;
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