In this project, work has been carried out on problems spanning in the field of Signal Processing, Communications, and Control. The idea is to develop general tools and methods useful for a large range of problems. A guiding principle is to formulate general problems, originating from relevant applications. Here equalization of fading mobile radio channels has been a main source of inspiration and also a useful application for testing of new ideas.
Very central in our work is the desire to obtain eplicit solutions and to gain engineering insight. As a means to accomplish that, the Polynomial Systems framework has been used in conjunction with general IIR-filter structures, implicit adaptive schemes, probabilistic description of model errors, and utilization of a priori information.
Our long term goal is to provide a new and general concept for solving a variety of important problems in signal processing, communications and control. A step toward this goal is the completion of chapters 1 and 2. Next, we will focus on some of the most important main activities within the project.
Source: Uppsala University
Authors: Anders Ahlen | Mikael Sternad
Speech Enhancement using an Adaptive Wiener Filtering Approach
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