版权说明 操作指南
首页 > 成果 > 详情

Blind spectral deconvolution algorithm for Raman spectrum with Poisson noise

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Liu, Hai;Zhang, Zhaoli;Sun, Jianwen(孙建文);Liu, Sanya*
通讯作者:
Liu, Sanya
作者机构:
[Sun, Jianwen; Zhang, Zhaoli; Liu, Sanya; Liu, Hai] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
通讯机构:
[Liu, Sanya] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Algorithms;Blind deconvolution;Deconvolution;Inverse problems;Monochromators;Raman spectroscopy
期刊:
光子学研究(英文)
ISSN:
2327-9125
年:
2014
卷:
2
期:
6
页码:
168-171
基金类别:
Project of the Program for New Century Excellent Talents in University [NCET-11-0654]; National Key Technology Research and Development ProgramNational Key Technology R&D Program [2013BAH72B01, 2013BAH18F02]; Scientific R & D Project of State Education Ministry and China Mobile [MCM20121061]; National Social Science Fund of China [14BGL131]; New PhD Researcher Award from the Chinese Ministry of EducationMinistry of Education, China
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
A blind deconvolution algorithm with modified Tikhonov regularization is introduced. To improve the spectral resolution, spectral structure information is incorporated into regularization by using the adaptive term to distinguish the spectral structure from other regions. The proposed algorithm can effectively suppress Poisson noise as well as preserve the spectral structure and detailed information. Moreover, it becomes more robust with the change of the regularization parameter. Comparative results on simulated and real degraded Raman spectra are reported. The recovered Raman spectra can eas...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com