Efficient blind adaptive Karhunen–Loéve transform via parallel search

Wenbiao Tian, Guosheng Rui, Daoguang Dong and Jian Kang

International Journal of Distributed Sensor Networks, 2018, vol. 14, issue 6, 1550147718782371

Abstract: This article introduces a new algorithm that constructs an efficient search strategy, called parallel search, for blind adaptive Karhunen–Loéve transform. Unlike anterior Karhunen–Loéve transform, the proposed algorithm converges quickly by searching for solutions in different directions simultaneously. Moreover, the process is “blind,†which means that minimal information about the original data is used. The new algorithm also avoids repeating the Karhunen–Loéve transform basis learning step in data compression applications. Numerical simulation results verify the validity of the theory and illustrate the capability of the proposed algorithm.

Keywords: Karhunen–Loéve transform; principal component analysis; efficient algorithm; parallel search; sparse representation; compressed sensing (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:14:y:2018:i:6:p:1550147718782371

DOI: 10.1177/1550147718782371

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