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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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Convex Optimization In Signal Processing And Communications

experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications;

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Signal Processing and Optimization for Transceiver Systems

bit error rate transceivers for MIMO channels. Crucial background material is covered, such as Schur convex functions, matrix calculus, and;

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Low overhead Communications in IoT Networks

presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various;

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Low overhead Communications in IoT Networks

presents practical algorithms based on both convex and nonconvex optimization approaches, as well as theoretical analyses that use various;

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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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Communication, Signal Processing & Information Technology

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

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Signal Processing for Mobile Communications Handbook

and services are continually arising, and future mobile communications offer new opportunities and exciting challenges for signal processing;

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Handbook of Convex Optimization Methods in Imaging Science

important mathematical tool for imaging science problems and applied extensively. Convex Optimization Methods in Imaging Science is the first book;

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Statistical Inference via Convex Optimization

observations of both signals and functions of signals-demonstrating how they can be solved more efficiently as convex optimization problems. The;

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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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Regularization, Optimization, Kernels, and Support Vector Machines

learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex;

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Regularization, Optimization, Kernels, and Support Vector Machines

, Optimization, Kernels, and Support Vector Machines is ideal for researchers in machine learning, pattern recognition, data mining, signal processing;

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Advances in Antenna, Signal Processing, and Microelectronics Engineering

* Explores optimization techniques for smart antenna and microelectronics for different applications * Explores different materials and design;

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Advances in Communications Signal Processing and VLSI

This book comprises the peer-reviewed proceedings of the International Conference on Communications, Signal Processing and VLSI (IC2SV;

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Signal Processing for Wireless Communications

...and 3G and beyond. Designed to bring engineers up to speed on the latest breakthroughs in signal processing technology, Signal Processing for;

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Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;

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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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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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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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Mathematics in Signal Processing V

in industry carrying out research into signal processing for communications, sonar, radar, navigation and biomedical applications, and to academic;

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Media and Radio Signal Processing for Mobile Communications

Get to grips with the principles and practice of signal processing used in mobile communications systems. Focusing particularly on speech;

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Compressive Sensing For Wireless Networks

over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking;

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Signals and Images

, and meet the desired electrical consumption target for controlling carbon emissions. Signals and Images: Advances and Results in Speech;

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Signals and Images

, and meet the desired electrical consumption target for controlling carbon emissions. Signals and Images: Advances and Results in Speech;

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