Title :
The Estimation and Removal of Unknown Background Signatures in Raman-Shift Spectra via SWTPE
Author :
Yeshwantpur, Abhijit ; Morris, Joel M.
Author_Institution :
Hughes Network Syst., Germantown
Abstract :
We present a technique, called the sliding-window technique for pedestal estimation (SWTPE), for estimation and removal of unknown arbitrarily-varying noisy background (pedestal) from Raman-shift spectra that may contain Raman-signatures of chemical agents. ROC plots depicting Pd les 0.8 vs. Pfa ges 0.1 are presented for two example backgrounds to demonstrate the performance of the algorithm.
Keywords :
Raman spectra; chemistry computing; data analysis; spectrochemical analysis; Raman-shift spectra; arbitrarily-varying noisy background; chemical agent; data analysis; pedestal estimation; sliding-window technique; Background noise; Chemical lasers; Data analysis; Fluorescence; Laboratories; Laser radar; Signal processing; Signal processing algorithms; Surface emitting lasers; Yield estimation; Background estimation; Chemical detection algorithm; Fluorescence effects; Raman-shift data analysis;
Conference_Titel :
Information Sciences and Systems, 2007. CISS '07. 41st Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
1-4244-1063-3
Electronic_ISBN :
1-4244-1037-1
DOI :
10.1109/CISS.2007.4298349
