Optimization of generalized mean square error in signal processing and communication

Abstract

Two matrix optimization problems are analyzed. These problems arise in signal processing and communication. In the first problem, the trace of the mean square error matrix is minimized, subject to a power constraint. The solution is the training sequence, which yields the best estimate of a communication channel. The solution is expressed in terms of the… (More)

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Cite this paper

@inproceedings{Hager2006OptimizationOG, title={Optimization of generalized mean square error in signal processing and communication}, author={William W. Hager and Yong Liu and Tan F. Wong}, year={2006} }