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No 207426
標題(和) Two improvements of the fast iterative shrinkage/thresholding algorithm --Overrelaxation and weak convergence--
標題(英) Two improvements of the fast iterative shrinkage/thresholding algorithm --Overrelaxation and weak convergence--
研究会名(和) 通信方式, 信号処理, 回路とシステム
研究会名(英) Communication Systems, Signal Processing, Circuits and Systems
開催年月日 2011-03-03
終了年月日 2011-03-04
会議種別コード 5
共催団体名(和)
資料番号 CAS2010-126, SIP2010-142, CS2010-96
抄録(和)
抄録(英) In this paper, we present two improved schemes of FISTA (an iterative gradient-based algorithm, whose convergence rate of the objective function is $\\mathcal{O}(1/k^2)$ in term of the iteration counter $k$) for the minimization of the sum of a smooth and a nonsmooth convex function. Such minimization problems arise naturally in signal and image processing. Our two schemes overcome two limitations of FISTA: (i) The stepsize in the forward-backward splitting step in FISTA is bounded by a constant value determined by the Lipschitz constant of the gradient of the smooth function and (ii) no results on weak convergence of FISTA to a solution had been presented to our best knowledge. The first scheme admits variable stepsizes in broader ranges than FISTA while keeping the same convergence rate $\\mathcal{O}(1/k^2)$ of the objective function. The second scheme, whose convergence rate of the objective function is not guaranteed as $\\mathcal{O}(1/k^2)$, converges weakly to a solution by using a sequence generated by FISTA. A numerical example demonstrates the effectiveness of each improvement by showing that the proposed schemes outperform conventional algorithms in terms of speed of convergence.
収録資料名(和) 電子情報通信学会技術研究報告
収録資料の巻号 Vol.110, No.439,440,441
ページ開始 143
ページ終了 148
キーワード(和)
キーワード(英) acceleration,adaptive filtering,convergence,convex minimization,signal processing
本文の言語 ENG
著者(和) 山岸昌夫
著者(ヨミ) ヤマギシ マサオ
著者(英) Masao Yamagishi
所属機関(和) 東京工業大学
所属機関(英) Tokyo Institute of Technology
著者(和) 山田功
著者(ヨミ) ヤマダ イサオ
著者(英) Isao Yamada
所属機関(和) 東京工業大学
所属機関(英) Tokyo Institute of Technology

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