A comparative study of relaxation based iterative deconvolution methods

Relaxation-based iterative deconvolution methods have become useful for restoring spectroscopic or chromatographic information that has become distorted by the measurement process. An evaluation is made of several of these techniques. Their RMS error performance, quantitative accuracy and repeatability, rate of convergence, and ability to work with noisy data are investigated. For a class of data that is amplitude-bounded and distorted by a Gaussian-shaped impulse response function, it is shown that P.A. Jansson´s method (1984) provides the best overall performance