Calculating relaxation time distribution function from power spectrum based on inverse integral transformation method

Yatabe, Zenji; Muramatsu, Toru; Asubar, Joel T. et al.

Physics Letters A, 2015, 379(7), 738-742

Permalink : https://hdl.handle.net/2115/58437

このアイテムのアクセス数:1,225件（2026-08-13 05:45 集計）

ファイル	フォーマット	サイズ	閲覧回数	説明
HUSCAP68738_2015_PLA_379_738_Zenji	pdf	1.17 MB	1,025

アクセス権	open access
URI	https://hdl.handle.net/2115/58437
タイトル	Calculating relaxation time distribution function from power spectrum based on inverse integral transformation method
著者	Yatabe, Zenji ; Muramatsu, Toru ; Asubar, Joel T. ; Kasai, Seiya
著者名 Yatabe, Zenji
著者名 Muramatsu, Toru
著者名 Asubar, Joel T.
著者名 Kasai, Seiya
言語	英語
キーワード	Pink noise
	McWhorter model
	Inverse Stieltjes transform
	Distribution function
	Field-effect transistor
発行日	2015-03-20
出版者	Elsevier
収録物名	Physics Letters A
巻(号)	379(7)
ページ	738-742
抄録	A novel method is presented for obtaining the distribution function of relaxation times G(tau) from power spectrum 1/f(alpha) (1 <= alpha <= 2). It is derived using McWhorter model and its inverse Stieltjes transform. Unlike the pre-assumed conventional g(tau) distribution, the extracted G(tau) has a peak whose width increases as the slope of the power spectrum alpha decreases. The peak position determines the dominant time constant of the system. Our method is unique because the distribution function is directly extracted from the measured power spectrum. We then demonstrate the validity of this method in the analysis of noise in transistor.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
PISSN	0375-9601
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1016/j.physleta.2014.12.040