Razor Library is a collection of
Maximum Entropy, Maximum Likelihood, and Bayesian analysis functions for spectroscopy.
Best Possible Results - Again
and Again and Again!
Spectral analysis routines based on
ME, ML, and Bayesian techniques, which use probability theory to
incorporate all the available a priori information, will
outperform other methods, and will always give optimum solutions.
And because there are no arbitrary choices to be made, every user will
obtain the same results.
RazorSmooth: Smoothing which
preserves resolution. One ME and two ML functions.
Razor Library spectroscopy functions
are the most effective available. Developed by PhD scientists, they
incorporate advanced mathematical techniques and the authors' combined
50+ years' experience in data analysis. The theory behind the methods is
explained in the manual.
RazorDivide: ML smoothing
of the ratio of two noisy data sets, such as smoothing sample/reference, or transmittance spectra.
enhancement with performance far superior to traditional "deconvolution". Two ME and two ML algorithms.
Smoothest possible derivatives of all orders. Bayesian.
RazorPick: Finds peak
locations, heights, widths. Recognition of merged peaks. Significance
ranking based on signal/noise. Choice of Normal or Poisson methods.
quantitation of peak areas. Allows "Captured Data"
peakshapes. Choice of Normal or Poisson methods. Fast 'bunch' mode.
Link peak positions, widths, heights. ML.
RazorBase: Razor knows
where the peaks are, and therefore can find where to put the baseline!
Uses Bayesian and Maximum Entropy techniques.
rephasing of the complex FID function of NMR spectroscopy.
Razor Library functions are
supplied as C/C++ or Fortran libraries, or DLLs, for the PC or
Macintosh. Complete source code for a running program is also included!