Optimization and quantification of the systematic effects of a rolling circle filter for spectral pre-processing
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

Optimization and quantification of the systematic effects of a rolling circle filter for spectral pre-processing

Sebastian Mirz;Sebastian Mirz;Robin Groessle;Robin Groessle;Alexander Kraus;Alexander Kraus;
The Analyst 2019 Vol. 144 pp. 4281-4287
115
mirz2019analystoptimization

Abstract

Spectral pre-processing, especially baseline approximation, is a crucial part in quantitative spectroscopic applications, such as Raman or FTIR spectroscopy. Filters used for this task need to be optimized for their application, in order to achieve a sufficient baseline approximation while minimizing the dis

Keywords

Access

DOI:
10.1039/C8AN02476F
URL:
https://doi.org/10.1039/c8an02476f

Citation

ID: 114087
Ref Key: mirz2019analystoptimization
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
114087
Unique Identifier:
10.1039/C8AN02476F
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet
Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store