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The Ubiquitous Signal Processing
Applications to communications, spectral analysis and array processing

By Erik G. Larsson
January 2002
Uppsala University Press
ISBN: 91-554-5176-4
308 pages, illustrated
$57.50 paper original

This Ph.D. thesis is concerned with statistical signal processing and its applications. The dissertation consists of three parts: I) applications to wireless communications, II) applications to spectral analysis and III) applications to array processing. New algorithms for synchronization and channel estimation in an OFDM system are proposed and the optimal design of training sequences in an OFDM system with transmit diversity is discussed. A new high-resolution nonparametric spectral estimation method is devised and analyzed. Furthermore, a novel spectral analysis method for both one and two-dimensional discontinuously sampled data is developed. Cramer-Rao bounds for direction estimation are examined under deterministic and stochastic data models, respectively. Finally, an algorithm for blind source separation is discussed and analyzed.

Information Technology; Electronics; Statistics
Uppsala Dissertations from the Faculty of Science and Technology, No. 34