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  • Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints

    This book presents up-to-date research developments and novel methodologies regarding recursive filtering for 2-D shift-varying systems with various communication constraints. It investigates recursive filter/estimator design and performance analysis by a combination of intensive stochastic analysis, recursive Riccati-like equations, variance-constrained approach, and mathematical induction. Each ... Leer más

    $68.99 USD

  • Communication-Protocol-Based Filtering and Control of Networked Systems

    Series series Intelligent Technologies and Robotics (R0)
    Communication-Protocol-Based Filtering and Control of Networked Systems is a self-contained treatment ofthe state of the art in communication-protocol-based filtering and control;recent advances in networked systems; andthe potential for application in sensor networks.This book provides new concepts, new models and new methodologies with practical significance in control engineering and signal ... Leer más

    $134.99 USD

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  • Sparse Representation, Modeling and Learning in Visual Recognition

    Theory, Algorithms and Applications

    de Hong Cheng ...
    Series series Computer Science (R0)
    This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, ... Leer más

    $89.99 USD

  • 3D Point Cloud Analysis

    Traditional, Deep Learning, and Explainable Machine Learning Methods

    This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks -- point cloud classification, segmentation, and registration -- which are fundamental to any point cloud-based system. An overview of traditional point cloud processing methods helps readers build background knowledge quickly, while the deep ... Leer más

    $107.99 USD

  • Time-Dependent Switched Discrete-Time Linear Systems: Control and Filtering

    Series series Engineering (R0)
    This book focuses on the basic control and filtering synthesis problems for discrete-time switched linear systems under time-dependent switching signals. Chapter 1, as an introduction of the book, gives the backgrounds and motivations of switched systems, the definitions of the typical time-dependent switching signals, the differences and links to other types of systems with hybrid characteristics ... Leer más

    $89.99 USD

  • Distributed Optimization in Networked Systems

    Algorithms and Applications

    Series series Computer Science (R0)
    This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, ... Leer más

    $170.99 USD

  • Distributed Filtering, Control and Synchronization

    Local Performance Analysis Methods

    Series series Intelligent Technologies and Robotics (R0)
    This book establishes a unified framework for dealing with typical engineering complications arising in modern, complex, large-scale networks such as parameter uncertainties, missing measurement and cyber-attack. Distributed Filtering, Control and Synchronization is a timely reflection on methods designed to handle a series of control and signal-processing issues in modern industrial engineering ... Leer más

    $134.99 USD

  • Robust Filtering for Uncertain Systems

    A Parameter-Dependent Approach

    Series series Engineering (R0)
    This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional ... Leer más

    $89.99 USD

  • Turbo Message Passing Algorithms for Structured Signal Recovery

    Series series Computer Science (R0)
    This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered structured signals include 1) a sparse vector/matrix (which corresponds to the compressed sensing (CS) problem), 2) a low-rank matrix (which corresponds to the affine rank minimization (ARM) problem), 3) a mixture of a sparse matrix and a low-rank matrix (which corresponds ... Leer más

    $58.99 USD

  • Pattern Recognition

    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... Leer más

    $96.99 USD

  • Fundamentals of Massive MIMO

    Written by pioneers of the concept, this is the first complete guide to the physical and engineering principles of Massive MIMO. Assuming only a basic background in communications and statistical signal processing, it will guide readers through key topics in multi-cell systems such as propagation modeling, multiplexing and de-multiplexing, channel estimation, power control, and performance ... Leer más

    $81.99 USD

  • Introduction to Machine Learning, fourth edition

    Series series Adaptive Computation and Machine Learning series
    A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This ... Leer más

    $52.99 USD