PT2: Nonlinear Signal Processing for Applications in Broadband Communications

A number of challenges and opportunities are arising in nonlinear signal processing in the context of the emerging technologies driving applications in broadband communications. We will begin by briefly discussing some of these applications in telecommunications, information processing systems, and electronic power processing systems. The lecture will then focus on NONLINEAR challenges and opportunities by listing some of the important nonlinear problems; the conceptual issues involved in their rigorous formulation and solution; and illustrating some proposed approaches by means of results obtained for the following specific applications: (i) Nonlinear image contrast sharpening based on Munsell´s scale in order to enhance human perception; (ii) Nonlinear adaptive prediction of the speech signal; (iii) AI-based exploitation of diversity in the wireless channel; (iv) Network-problem-alerting for cell-phone network carriers; and (v) Non-Gaussian noise suppression in video and voice communication systems.