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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]

In The paper above , published in the April 2019 issue of the IEEE Transactions on Information Theory, the following change is noted. The affiliations of the authors were listed incorrectly due to a production error. The affiliations should be listed as follows: The authors were with the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287 USA, while performing their research for. [ABSTRACT FROM AUTHOR]

These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal. [ABSTRACT FROM AUTHOR]