Abstract

A technique has been described which minimizes the effects of random noise on quantitative spectroscopic measurements. It is applicable to cases in which a reference spectrum of the analyte compound is available and consists of repeated comparisons of sections of the reference spectrum with corresponding segments of the unknown. It has been demonstrated that the average of these replicate measurements is less affected by noise than is a measurement based on peak height, area, cross correlation, or least-squares fitting. Application to infrared measurements has been demonstrated.

Smoothing of spectral data in the Fourier domain

Jyrki K. Kauppinen, Douglas J. Moffatt, Henry H. Mantsch, and David G. Cameron
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Differential absorption lidar signal averaging

William B. Grant, Alan M Brothers, and James R. Bogan
Appl. Opt. 27(10) 1934-1938 (1988)

High-frequency enhancement of magneto-optic data storage signals by optical and electronic filtering

Edwin P. Walker and Tom D. Milster
Opt. Lett. 20(17) 1815-1817 (1995)

Balanced detection spectral domain optical coherence tomography with a multiline single camera for signal-to-noise ratio enhancement

Wen-Chuan Kuo, Yune-Shee Lai, Chih-Ming Lai, and Yi-Shiang Huang
Appl. Opt. 51(24) 5936-5940 (2012)

Signal Averaging Astronomical Spectrophotometer

R. K. Honeycutt
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