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signal processing. In the automotive industry, autonomous driving is currently a hot topic that leads to numerous applications for both safety;
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-Time Adaptive Processing Radar, Field Orientated Motor Control, Matrix Inversion algorithms, GPUs for computing, Machine Learning, Entropy and;
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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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for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing;
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for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing;
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This book covers the latest advances in optimal and adaptive MIMO radar for enhanced detection and target ID in challenging environments;
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; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep;
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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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By studying applications in radar, telecommunications and digital image restoration, this monograph discusses signal processing techniques;
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-level block sparsity model for multi-channel radar signals; parametric sparse representation for radar imaging with model uncertainty; Poisson;
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A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to;
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for researchers and engineers in SAR signal and data processing, as well as those working in bistatic and multistatic radar imaging, and;
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-resolution space-time radar signal processing using 2-D or 1-D/1-D models; and models and methods for EEG/MEG space-time dipole source estimation and;
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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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This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning;
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. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms addresses these recent developments, providing a complete, up-to-date analysis;
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A text and general reference on the design and analysis of radar signals As radar technology evolves to encompass a growing spectrum;
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variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for;
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of theoretical and applied signal-processing concepts and techniques that have become a cornerstone for the effective operation of real-world OTH radar;
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Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms;
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beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance;
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random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap;
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random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap;
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processing methods. It has a very broad range of fields: communications, radar, medical imaging, audio and video compression. Digital signal;
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Deep Learning provides an overview of general deep learning methodology and its applications to a variety of signal and information;
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