Spectral Methods to Extract Useful Information at Very Low Signal-to-Noise

Quantitative measurement of spectral components is important for finding species of interest in environmental, food and pharmaceutical applications. This is true of intended components as well as detection of contaminants. Full spectral methods can greatly increase the accuracy of optical measurements, even when signal-to-noise is less than 1.
● Learn recent numerical techniques to extract information in noisy signals. 
● Learn to quantitatively predict statistically-expected accuracy of species detection in very low signal-to-noise measurements. 
● Why full spectral methods allow greatly increased quantitative accuracy in spectral analysis.
● How to apply matrix-algebraic methods to spectra , including enough math details to demystify the application and to allow you to apply the techniques in your own projects.