Название: Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications Автор: Chong-Yung Chi, Wei-Chiang Li
Издательство: CRC Press
Год: 2017
Страниц: 456
Язык: английский
Формат: pdf (true)
Размер: 15.11 MB
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.
Convex Optimization has been recognized as a powerful tool for solving many science and engineering problems. Over the last two decades, convex optimization has been successfully and extensively applied to various problems in signal processing such as blind source separation (BSS) for biomedical and hyperspectral image analysis, and in multiple-input multiple-output (MIMO) wireless communications and networking, such as coherent/noncoherent detection, transmit/robust/distributed beamforming, and physical-layer secret communications.
Particularly, fourth generation (4G) wireless communication systems have been in operation, and various researches for fifth generation (5G) systems, e.g., massive MIMO, millimeter wave wireless communications, full-duplex MIMO, energy harvesting, and multicell coordinated beamforming, have been intensively studied and reported in the open literature, where the convex optimization tool is extensively wielded, validating its central role to the development of 5G systems and to many interdisciplinary science and engineering applications.
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