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Narrowband Direction of Arrival Estimation for Antenna Arrays

This book provides an introduction to narrowband array signal processing, classical and subspace-based direction of arrival (DOA;

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Classical and Modern Direction-of-Arrival Estimation

Classical and Modern Direction of Arrival Estimation contains both theory and practice of direction finding by the leading researchers;

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Narrowband Direction of Arrival Estimation for Antenna Arrays

This book provides an introduction to narrowband array signal processing, classical and subspace-based direction of arrival (DOA;

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Sequential Estimation

accelerated sequential sampling procedures. It integrates the diversities in sequential estimation in a logical, treating both classical and modern;

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Coherent Time Difference of Arrival Estimation Techniques for Frequency Hopping GSM Mobile Radio Signals

Coherent Time Difference of Arrival Estimation Techniques for Frequency Hopping GSM Mobile Radio Signals is een boek van Alexander Gerald;

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State Estimation for Robotics

covers both classical state estimation methods such as the Kalman filter, as well as important modern topics such as batch estimation, the Bayes;

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Smart Antennas with MATLAB, Second Edition

Propagation channel characteristics Angle-of-arrival estimation Smart antennas Direction finding Electromagnetic vector sensors Smart antenna;

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Adaptive Beamforming of a Towed Array During a Turn

hydrophone array lie in straight line is often made when the beamforming the hydrophone outputs. But when vessel turns, the direction-of-arrival;

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Radiation Risk Estimation

classical error Polynomial regression with known variance of classical error Nonlinear and generalized linear models Part II Radiation;

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Principles and Applications of RELAX

principles and applications in the fields of classical line spectrum estimation, time of delay estimation, DOA estimation, and radar target imaging;

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High-Dimensional Covariance Estimation

environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern;

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Shrinkage Estimation for Mean and Covariance Matrices

modern and classical shrinkage estimation, but is also required for further development of the field. Beginning with the notion of decision;

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Machine Learning Deep Learning and Computational Intelligence for Wireless Comm

, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference;

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Node Localization in Wireless Sensor Networks

time of arrival (TOA), received signal strength (RSS), and direction of arrival (DOA). The sequential localization algorithm, which uses a;

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Node Localization in Wireless Sensor Networks

time of arrival (TOA), received signal strength (RSS), and direction of arrival (DOA). The sequential localization algorithm, which uses a;

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

methods and successively leading to advances in this field. Design and implementation of various classical and advanced state estimation;

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High-Resolution and Robust Signal Processing

twenty years, placing emphasis on modern developments and recent research pursuits. Applications-grounded, this sophisticated resource links;

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High-Dimensional Probability

dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering;

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A Functional Analysis Framework for Modeling, Estimation and Control in Science and Engineering

A Modern Framework Based on Time-Tested MaterialA Functional Analysis Framework for Modeling, Estimation and Control in Science and;

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A Functional Analysis Framework for Modeling, Estimation and Control in Science and Engineering

A Modern Framework Based on Time-Tested MaterialA Functional Analysis Framework for Modeling, Estimation and Control in Science and;

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Model Assisted Survey Sampling

of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook;

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Digital Processing of Random Signals

discusses their structure and main properties. He proceeds to examinations of statistical estimation theory, classical spectrum estimation, and;

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Multivariate Density Estimation

Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods;

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Parametric Inference: An Introduction

Parametric Inference: An Introduction discusses the basic concept of sufficient statistic and the classical approach based on minimum;

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Mathematical Statistics

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing;

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Cyber-Physical Power Systems State Estimation

reliability in modern electric power systems. The work introduces and contextualizes the core concepts and classic approaches to state estimation;

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Detection and Estimation Research of High-speed Railway Catenary

estimation, and discusses modern spectrum estimation tools for catenary. It is organized in three parts: the first discusses statistical;

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