Mean-square performance of the hyperslab-based adaptive projected subgradient method

Autor:	WEE, WEMERMERCADO, Wee, Wemer, Yamagishi, Masao, YAMADA, ISAO
Jazyk:	angličtina
Rok vydání:	2014
Předmět:	Set (abstract data type) Mean square symbols.namesake Signal processing Mathematical optimization Gaussian symbols Adaptive projected subgradient method Performance results Regression Mathematics
Zdroj:	ICASSP
Popis:	This paper is concerned with the mean-square performance of the hyperslab-based adaptive projected subgradient method, a set theoretic estimation tool that has been successfully applied in a wide variety of signal processing tasks. Using energy-conservation arguments, general performance results are derived without restricting the regression data to being Gaussian or white. Numerical simulations are provided to illustrate the theoretical developments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20d54d513f2385ec601c46cf946a2337 http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100668385 Zobrazit plný text záznamu