{"product_id":"convex-optimization-in-signal-processing-and-communications-0521762227","title":"Convex Optimization in Signal Processing and Communications","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0521762227\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Palomar, Daniel P.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eOver the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged as a powerful signal processing tool, and the variety of applications continues to grow rapidly. This book, written by a team of leading experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications. Emphasis throughout is on cutting-edge research and on formulating problems in convex form, making this an ideal textbook for advanced graduate courses and a useful self-study guide. Topics covered range from automatic code generation, graphical models, and gradient-based algorithms for signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for image processing, robust broadband beamforming, distributed multi-agent optimization for networked systems, cognitive radio systems via game theory, and the variational inequality approach for Nash equilibrium solutions.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51940613849376,"sku":"NEW0521762227","price":240.9,"currency_code":"USD","in_stock":false}],"url":"https:\/\/miakarts.com\/products\/convex-optimization-in-signal-processing-and-communications-0521762227","provider":"Miakarts Books","version":"1.0","type":"link"}