Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications

Chong-Yung-Chi, Wei-Chiang Li, Chia-Hsiang Lin

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.

جهت استعلام قيمت و سفارش چاپ اين محصول لطفا با انتشارات گنج حضور تماس حاصل فرماييد.