Title :
Metrics for Matrix-valued Measures via Test Functions
Author :
Lipeng Ning ; Georgiou, Tryphon T.
Author_Institution :
Brigham & Women´s Hosp., Harvard Med. Sch., Boston, MA, USA
Abstract :
It is perhaps not widely recognized that certain common notions of distance between probability measures have an alternative dual interpretation which compares corresponding functionals against suitable families of test functions. This dual viewpoint extends in a straightforward manner to suggest metrics between matrix-valued measures. Our main interest has been in developing weakly-continuous metrics that are suitable for comparing matrix-valued power spectral density functions. To this end, and following the suggested recipe of utilizing suitable families of test functions, we develop a weakly-continuous metric that is analogous to the Wasserstein metric and applies to matrix-valued densities. We use a numerical example to compare this metric to certain standard alternatives including a different version of a matricial Wasserstein metric developed in [1], [2].
Keywords :
matrix algebra; probability; Wasserstein metric; matricial Wasserstein metric; matrix valued densities; matrix valued measurement metrics; matrix valued power spectral density functions; probability measurement; test functions; weakly continuous metrics; Algebra; Density functional theory; Density measurement; Frequency measurement; Power measurement; Spectral analysis;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7039793