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Reduced Complexity Adaptive Filtering Algorithms with Applications to Communications Systems
Stefan Werner
Dissertation for the degree of Doctor of Science in Technology to be presented with due permission for public examination and debate in Auditorium S3 at Helsinki University of Technology (Espoo, Finland) on the 15th of November, 2002, at 12 o'clock noon.
Dissertation in PDF format (ISBN 951-22-6087-5) [1501 KB]
Dissertation is also available in print (ISBN 951-22-6175-8)
Abstract
This thesis develops new adaptive filtering algorithms suitable for communications applications with the aim of reducing the computational complexity of the implementation. Low computational complexity of the adaptive filtering algorithm can, for example, reduce the required power consumption of the implementation. A low power consumption is important in wireless applications, particularly at the mobile terminal side, where the physical size of the mobile terminal and long battery life are crucial. We focus on the implementation of two types of adaptive filters: linearly-constrained minimum-variance (LCMV) adaptive filters and conventional training-based adaptive filters....
it continues in http://lib.hut.fi/Diss/2002/isbn9512260875/