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Radar Signal Processing for Autonomous Driving

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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Digital Signal Processing 101

-Time Adaptive Processing Radar, Field Orientated Motor Control, Matrix Inversion algorithms, GPUs for computing, Machine Learning, Entropy and;

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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 in Radar Systems

for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing;

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Signal Processing in Radar Systems

for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing;

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MIMO Radar

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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Image Analysis and Recognition

; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep;

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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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Bispectral Methods of Signal Processing

By studying applications in radar, telecommunications and digital image restoration, this monograph discusses signal processing techniques;

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Advanced Sparsity-Driven Models and Methods for Radar Applications

-level block sparsity model for multi-channel radar signals; parametric sparse representation for radar imaging with model uncertainty; Poisson;

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Digital Signal Processing with Kernel Methods

A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to;

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Bistatic SAR Data Processing Algorithms

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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High-Resolution and Robust Signal Processing

-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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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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Signal and Image Processing Techniques for the Development of Intelligent Health

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

. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms addresses these recent developments, providing a complete, up-to-date analysis;

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Radar Signals

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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Deep Learning through Sparse and Low-Rank Modeling

variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for;

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High Frequency Over-the-Horizon Radar

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

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

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Advanced Signal Processing Handbook

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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Bootstrap Techniques for Signal Processing

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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Bootstrap Techniques for Signal Processing

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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Implementation of Signal Processing Algorithms on an FPOA

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

Deep Learning provides an overview of general deep learning methodology and its applications to a variety of signal and information;

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