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Signal Processing and Optimization for Transceiver Systems

information needed to understand transceiver optimization in a single volume. It begins with a review of digital communication fundamentals, and then;

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Convex Optimization In Signal Processing And Communications

signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for;

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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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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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Optimisation in Signal and Image Processing

This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian;

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Space-Time Processing for MIMO Communications

, including highlights of emerging trends, such as spatial multiplexing and joint transceiver optimization. It includes detailed coverage of wireless;

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Convex Optimization for Signal Processing and Communications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge;

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Convex Optimization for Signal Processing and Communications

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge;

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Signal Processing and Networking for Big Data Applications

for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and;

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Mathematical Foundations for Signal Processing, Communications, and Networking

Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the;

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Adaptive and Iterative Signal Processing in Communications

Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving receiver performance;

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Adaptive and Iterative Signal Processing in Communications

Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving receiver performance;

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Vlsi Digital Signal Processing Systems

current and fluent in VLSI design methodologies for DSP. Enter VLSI Digital Signal Processing Systems-a unique, comprehensive guide to;

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Event-Based Control and Signal Processing

signal processing Event-driven control and optimization of hybrid systems Decentralized event-triggered control Periodic event-triggered;

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Event-Based Control and Signal Processing

, signal processing, and electronic instrumentation. Activities in event-based systems are triggered in response to events usually representing a;

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Intelligent Signal Processing

reader to the signal processing power of learning and adaptive systems. This essential reference is intended for researchers, professional;

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Cooperative and Graph Signal Processing

, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the;

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Sparse Optimization Theory and Methods

science. Sparse Optimization Theory and Methods presents the state of the art in theory and algorithms for signal recovery under the sparsity;

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Sparse Optimization Theory and Methods

science. Sparse Optimization Theory and Methods presents the state of the art in theory and algorithms for signal recovery under the;

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Intelligent Computing Theories and Application

; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;

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Intelligent Computing Theories and Application

; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;

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Intelligent Computing Methodologies

; compressed sensing, sparse coding; social computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal;

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Signal Processing and Image Processing for Acoustical Imaging

This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved;

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Communication, Signal Processing & Information Technology

Communication & Signal Processing involving topics such as: Communications Theory and Techniques, Communications Protocols and Standards;

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Proceedings Second International Conference on Information Processing

, security aspects in computer networks, signal processing and hardware synthesis, optimization techniques, data mining, and information processing.;

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Recent Advances in Nonlinear Dynamics and Synchronization

This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical;

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