Systolic Array Architecture for Adaptive Eigenstructure Decomposition of Correlation Matrices

Abstract

Eigenstructure decomposition of correlation matrices is an important pre-processing stage in many modern signal processing applications. In an unknown and possibly changing environment , adaptive algorithms that are efficient and numerically stable as well as readily implementable in hardware for eigendecomposition are highly desirable. Most modern real… (More)
DOI: 10.1109/IPPS.1991.153805

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