1. A New Method of Matrix Spectral Factorization.
- Author
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Janashia, Gigla, Lagvilava, Edem, and Ephremidze, Lasha
- Subjects
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FACTORIZATION , *ALGORITHMS , *MATHEMATICAL functions , *DATA compression (Telecommunication) , *WIRELESS communications , *INFORMATION filtering , *TECHNOLOGICAL innovations - Abstract
A new algorithm of matrix spectral factorization is proposed which can be applied to compute an approximate spectral factor of any positive definite matrix function which satisfies the Paley-Wiener condition. ref refid="fnote1"/ id="fnote1" asterisk="no"paraThis paper includes the detailed proofs for an innovative method for matrix spectral factorization that can be used in numerous applications, including filtering, data compression, and wireless communications. A U.S. patent application has been submitted for this innovation through the Technology Commercialization Center, University of Maryland.para [ABSTRACT FROM AUTHOR]
- Published
- 2011
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