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H Georg Schulze

Showing results (1-10 of 41) with videos related to

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Applied Spectroscopy|May 9, 2015
Development and integration of block operations for data invariant automation of digital preprocessing and analysis of biological and biomedical Raman spectraH Georg Schulze, Robin F B Turner
Applied Spectroscopy|April 23, 2013
A fast, automated, polynomial-based cosmic ray spike-removal method for the high-throughput processing of Raman spectraH Georg Schulze, Robin F B Turner
Applied Spectroscopy|February 1, 2014
A two-dimensionally coincident second difference cosmic ray spike removal method for the fully automated processing of Raman spectraH Georg Schulze, Robin F B Turner
Applied Spectroscopy|August 16, 2008
Chi-squared-based filters for high-fidelity signal-to-noise ratio enhancement of spectraH Georg Schulze, Rod B Foist, Andre Ivanov, et al.
Applied Spectroscopy|April 26, 2011
Noise reduction methods applied to two-dimensional correlation spectroscopy (2D-COS) reveal complementary benefits of pre- and post-treatmentRod B Foist, H Georg Schulze, Andre Ivanov, et al.
Applied Spectroscopy|October 18, 2008
Fully automated high-performance signal-to-noise ratio enhancement based on an iterative three-point zero-order Savitzky-Golay filterH Georg Schulze, Rod B Foist, Andre Ivanov, et al.
Analytical Chemistry|September 9, 2014
Silicon-gold-silica lamellar structures for sample substrates that provide an internal standard for Raman microspectroscopyStanislav O Konorov, H Georg Schulze, Michael W Blades, et al.
Applied Spectroscopy|January 8, 2011
A model-free, fully automated baseline-removal method for Raman spectraH Georg Schulze, Rod B Foist, Kadek Okuda, et al.
Applied Spectroscopy|November 16, 2010
A matrix-based two-dimensional regularization algorithm for signal-to-noise ratio enhancement of multidimensional spectral dataRod B Foist, H Georg Schulze, Andrew Jirasek, et al.
Applied Spectroscopy|June 20, 2012
A small-window moving average-based fully automated baseline estimation method for Raman spectraH Georg Schulze, Rod B Foist, Kadek Okuda, et al.
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
Applied Spectroscopy|May 9, 2015
Development and integration of block operations for data invariant automation of digital preprocessing and analysis of biological and biomedical Raman spectraH Georg Schulze, Robin F B Turner
Applied Spectroscopy|April 23, 2013
A fast, automated, polynomial-based cosmic ray spike-removal method for the high-throughput processing of Raman spectraH Georg Schulze, Robin F B Turner
Applied Spectroscopy|February 1, 2014
A two-dimensionally coincident second difference cosmic ray spike removal method for the fully automated processing of Raman spectraH Georg Schulze, Robin F B Turner
Applied Spectroscopy|August 16, 2008
Chi-squared-based filters for high-fidelity signal-to-noise ratio enhancement of spectraH Georg Schulze, Rod B Foist, Andre Ivanov, et al.
Applied Spectroscopy|April 26, 2011
Noise reduction methods applied to two-dimensional correlation spectroscopy (2D-COS) reveal complementary benefits of pre- and post-treatmentRod B Foist, H Georg Schulze, Andre Ivanov, et al.
Applied Spectroscopy|October 18, 2008
Fully automated high-performance signal-to-noise ratio enhancement based on an iterative three-point zero-order Savitzky-Golay filterH Georg Schulze, Rod B Foist, Andre Ivanov, et al.
Analytical Chemistry|September 9, 2014
Silicon-gold-silica lamellar structures for sample substrates that provide an internal standard for Raman microspectroscopyStanislav O Konorov, H Georg Schulze, Michael W Blades, et al.
Applied Spectroscopy|January 8, 2011
A model-free, fully automated baseline-removal method for Raman spectraH Georg Schulze, Rod B Foist, Kadek Okuda, et al.
Applied Spectroscopy|November 16, 2010
A matrix-based two-dimensional regularization algorithm for signal-to-noise ratio enhancement of multidimensional spectral dataRod B Foist, H Georg Schulze, Andrew Jirasek, et al.
Applied Spectroscopy|June 20, 2012
A small-window moving average-based fully automated baseline estimation method for Raman spectraH Georg Schulze, Rod B Foist, Kadek Okuda, et al.
Pageof 5