Strikingly stable convergence of the Fast Pade Transform (FPT) for high-resolution parametric and non-parametric signal processing of Lorentzian and non-Lorentzian spectra

被引：45

作者：

Belkic, D ^{[1
]}

机构：

[1] Karolinska Inst, Dept Med Radiat Phys, S-17176 Stockholm, Sweden

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2004年 / 525卷 / 1-2期

关键词：

Magnetic Resonance Spectroscopy; signal processing; Fast Pade Transform;

D O I：

10.1016/j.nima.2004.03.098

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

We investigate the prospect for designing a high-resolution parametric method for signal processing of both Lorentzian and non-Lorentzian spectra offering an accurate and robust performance with efficiency and stability comparable to the fast Fourier transform. It is demonstrated that the standard fast Pade transform is well suited for successfully accomplishing this multifaceted task as opposed to various fitting algorithms that all yield non-unique solutions to quantification problems. This is substantiated by computations on time signals encoded in the brain of healthy volunteers and patients using Magnetic Resonance Spectroscopy. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：366 / 371

页数：6

共 7 条

[1] Non-Parametric High-Resolution SAR Imaging
Glentis, George Othon
Zhao, Kexin
Jakobsson, Andreas
Li, Jian
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (07) : 1614 - 1624
[2] HIGH-RESOLUTION NON-PARAMETRIC SPECTRAL ESTIMATION USING THE HIRSCHMAN OPTIMAL TRANSFORM
Liu, Guifeng
DeBrunner, Victor
2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2012, : 3721 - 3724
[3] Comparison of parametric and non-parametric methods for chlorophyll estimation based on high-resolution UAV imagery
Singhal, Gaurav
Bansod, Babankumar
Mathew, Lini
Goswami, Jonali
Choudhury, B. U.
Raju, P. L. N.
CURRENT SCIENCE, 2019, 117 (11): : 1874 - 1879
[4] High-Resolution Non-Parametric Spectral Estimation Using The Hirschman Uncertainty
Liu, Guifeng
DeBrunner, Victor
2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), 2011, : 336 - 340
[5] Dispersion curve calculation in viscoelastic tissue-mimicking materials using non-parametric, parametric, and high-resolution methods
Kijanka, Piotr
Urban, Matthew W.
ULTRASONICS, 2021, 109
[6] BR-NPA: A non-parametric high-resolution attention model to improve the interpretability of attention
Gomez T.
Ling S.
Fréour T.
Mouchère H.
Pattern Recognition, 2022, 132
[7] A non-parametric high-resolution prediction method for turbine blade profile loss based on deep learning
Li, Lele
Zhang, Weihao
Li, Ya
Zhang, Ruifeng
Liu, Zongwang
Wang, Yufan
Mu, Yumo
ENERGY, 2024, 288

← 1 →