Convex Optimization For Signal Processing And Communications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Convex Optimization For Signal Processing And Communications PDF full book. Access full book title Convex Optimization For Signal Processing And Communications.
Author | : Chong-Yung Chi |
Publisher | : CRC Press |
Total Pages | : 294 |
Release | : 2017-01-24 |
Genre | : Technology & Engineering |
ISBN | : 1315349809 |
Download Convex Optimization for Signal Processing and Communications Book in PDF, ePub and Kindle
Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications. In addition to comprehensive proofs and perspective interpretations for core convex optimization theory, this book also provides many insightful figures, remarks, illustrative examples, and guided journeys from theory to cutting-edge research explorations, for efficient and in-depth learning, especially for engineering students and professionals. With the powerful convex optimization theory and tools, this book provides you with a new degree of freedom and the capability of solving challenging real-world scientific and engineering problems.
Author | : Daniel P. Palomar |
Publisher | : Cambridge University Press |
Total Pages | : 513 |
Release | : 2010 |
Genre | : Computers |
ISBN | : 0521762227 |
Download Convex Optimization in Signal Processing and Communications Book in PDF, ePub and Kindle
Leading experts provide the theoretical underpinnings of the subject plus tutorials on a wide range of applications, from automatic code generation to robust broadband beamforming. Emphasis on cutting-edge research and formulating problems in convex form make this an ideal textbook for advanced graduate courses and a useful self-study guide.
Author | : Chong-Yung Chi |
Publisher | : CRC Press |
Total Pages | : 456 |
Release | : 2017-01-24 |
Genre | : Technology & Engineering |
ISBN | : 1498776469 |
Download Convex Optimization for Signal Processing and Communications Book in PDF, ePub and Kindle
Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications. In addition to comprehensive proofs and perspective interpretations for core convex optimization theory, this book also provides many insightful figures, remarks, illustrative examples, and guided journeys from theory to cutting-edge research explorations, for efficient and in-depth learning, especially for engineering students and professionals. With the powerful convex optimization theory and tools, this book provides you with a new degree of freedom and the capability of solving challenging real-world scientific and engineering problems.
Author | : Angelia Nedić |
Publisher | : Springer |
Total Pages | : 310 |
Release | : 2018-11-01 |
Genre | : Business & Economics |
ISBN | : 3319971425 |
Download Multi-agent Optimization Book in PDF, ePub and Kindle
This book contains three well-written research tutorials that inform the graduate reader about the forefront of current research in multi-agent optimization. These tutorials cover topics that have not yet found their way in standard books and offer the reader the unique opportunity to be guided by major researchers in the respective fields. Multi-agent optimization, lying at the intersection of classical optimization, game theory, and variational inequality theory, is at the forefront of modern optimization and has recently undergone a dramatic development. It seems timely to provide an overview that describes in detail ongoing research and important trends. This book concentrates on Distributed Optimization over Networks; Differential Variational Inequalities; and Advanced Decomposition Algorithms for Multi-agent Systems. This book will appeal to both mathematicians and mathematically oriented engineers and will be the source of inspiration for PhD students and researchers.
Author | : Long D. Nguyen |
Publisher | : Telecommunications |
Total Pages | : 300 |
Release | : 2022-02-11 |
Genre | : Technology & Engineering |
ISBN | : 9781785619595 |
Download Real Time Convex Optimisation for 5G Networks and Beyond Book in PDF, ePub and Kindle
This book considers advanced real-time optimisation methods for 5G and beyond networks. The authors discuss the fundamentals, technologies, practical questions and challenges around real-time optimisation of 5G and beyond communications, providing insights into relevant theories, models and techniques.
Author | : Wing Kin Lui |
Publisher | : |
Total Pages | : 394 |
Release | : 2009 |
Genre | : Convex functions |
ISBN | : |
Download Convex Optimization for Signal Processing Problems Book in PDF, ePub and Kindle
Author | : Stephen P. Boyd |
Publisher | : Cambridge University Press |
Total Pages | : 744 |
Release | : 2004-03-08 |
Genre | : Business & Economics |
ISBN | : 9780521833783 |
Download Convex Optimization Book in PDF, ePub and Kindle
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Author | : Jian Li |
Publisher | : John Wiley & Sons |
Total Pages | : 422 |
Release | : 2005-10-10 |
Genre | : Technology & Engineering |
ISBN | : 0471733466 |
Download Robust Adaptive Beamforming Book in PDF, ePub and Kindle
The latest research and developments in robust adaptivebeamforming Recent work has made great strides toward devising robust adaptivebeamformers that vastly improve signal strength against backgroundnoise and directional interference. This dynamic technology hasdiverse applications, including radar, sonar, acoustics, astronomy,seismology, communications, and medical imaging. There are alsoexciting emerging applications such as smart antennas for wirelesscommunications, handheld ultrasound imaging systems, anddirectional hearing aids. Robust Adaptive Beamforming compiles the theories and work ofleading researchers investigating various approaches in onecomprehensive volume. Unlike previous efforts, these pioneeringstudies are based on theories that use an uncertainty set of thearray steering vector. The researchers define their theories,explain their methodologies, and present their conclusions. Methodspresented include: * Coupling the standard Capon beamformers with a spherical orellipsoidal uncertainty set of the array steering vector * Diagonal loading for finite sample size beamforming * Mean-squared error beamforming for signal estimation * Constant modulus beamforming * Robust wideband beamforming using a steered adaptive beamformerto adapt the weight vector within a generalized sidelobe cancellerformulation Robust Adaptive Beamforming provides a truly up-to-date resourceand reference for engineers, researchers, and graduate students inthis promising, rapidly expanding field.
Author | : Mung Chiang |
Publisher | : Now Publishers Inc |
Total Pages | : 172 |
Release | : 2005 |
Genre | : Computers |
ISBN | : 9781933019093 |
Download Geometric Programming for Communication Systems Book in PDF, ePub and Kindle
Recently Geometric Programming has been applied to study a variety of problems in the analysis and design of communication systems from information theory and queuing theory to signal processing and network protocols. Geometric Programming for Communication Systems begins its comprehensive treatment of the subject by providing an in-depth tutorial on the theory, algorithms, and modeling methods of Geometric Programming. It then gives a systematic survey of the applications of Geometric Programming to the study of communication systems. It collects in one place various published results in this area, which are currently scattered in several books and many research papers, as well as to date unpublished results. Geometric Programming for Communication Systems is intended for researchers and students who wish to have a comprehensive starting point for understanding the theory and applications of geometric programming in communication systems.
Author | : Muhammad Danish Nisar |
Publisher | : Shaker |
Total Pages | : 18 |
Release | : 2011-08-01 |
Genre | : Technology & Engineering |
ISBN | : 3844003320 |
Download Minimax Robustness in Signal Processing for Communications Book in PDF, ePub and Kindle
Abstract: From a signal processing for communications perspective, three fundamental transceiver design components are the channel precoder, the channel estimator, and the channel equalizer. The optimal design of these blocks is typically formulated as an optimization problem with a certain objective function, and a given constraint set. However, besides the objective function and the constraint set, their optimal design crucially depends upon the adopted system model and the assumed system state. While, optimization under a perfect knowledge of these underlying parameters (system model and state) is relatively straight forward and well explored, the optimization under their imperfect (partial or uncertain) knowledge is more involved and cumbersome. Intuitively, the central question that arises here is: should we fully trust the available imperfect knowledge of the underlying parameters, should we just ignore it, or should we go for an “intermediate” approach? This thesis deals with three crucial transceiver design problems from a signal processing for communications perspective, and attempts to answer the fundamental question of how to handle the presence of uncertainty about the design parameters in the respective optimization problem formulations.