✦ LIBER ✦

Determination of the optimal regularization parameters in hyperspectral tomography

✍ Scribed by Ma, Lin ;Cai, Weiwei

Book ID: 115353932
Publisher: The Optical Society
Year: 2008
Tongue: English
Weight: 701 KB
Volume: 47
Category: Article
ISSN: 1559-128X
DOI: 10.1364/AO.47.004186

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Using the L--curve for determining optim

Using the L--curve for determining optimal regularization parameters

✍ Heinz W. Engl; Wilhelm Grever 📂 Article 📅 1994 🏛 Springer-Verlag 🌐 English ⚖ 104 KB

A priori selection of the regularization

A priori selection of the regularization parameters in emission tomography by Fourier synthesis

✍ D. Mariano-Goulart; P. Maréchal; S. Gratton; L. Giraud; M. Fourcade 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 685 KB

This paper describes how the stability of the inverse problem underlying emission tomography can be measured and controlled in clinical settings. We show how the Lanczos approximation provides a way to regularize a certain class of iterative reconstruction algorithms through a given level of noise o

Application of the regularization method

Application of the regularization method to determination of multilayer strata parameters

✍ M. Kh. Khairullin 📂 Article 📅 1990 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 380 KB

Determination of an optimal regularizati

Determination of an optimal regularization factor in system identification with Tikhonov regularization for linear elastic continua

✍ Hyun Woo Park; Soobong Shin; Hae Sung Lee 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 247 KB

Determination of the optimal parameters

Determination of the optimal parameters of channel quarries

✍ N. I. Alekseevskii; E. V. Gnilomedov 📂 Article 📅 1994 🏛 Springer 🌐 English ⚖ 464 KB

Improvement of the LLS and MAP deconvolu

Improvement of the LLS and MAP deconvolution algorithms by automatic determination of optimal regularization parameters and pre-filtering of original data

✍ B. Colicchio; O. Haeberlé; C. Xu; A. Dieterlen; G. Jung 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 520 KB