title: Noise-resolution trade-off in projection algorithms for laser diffraction particle sizing.
abstract: The size distribution of a particle suspension can be inferred from studying the diffracted light pattern produced by a laser beam that passes through the suspension. This involves solving an ill-posed linear system. Two previous versions of projection algorithms were tested by use of computer simulations and experiments. Both algorithms showed limitations in restoring the size distribution, because of either the shape of the size distribution or the presence of noise in the scattered light signal. The generalized projection algorithm presented in this work solves these difficulties by introducing a parameter that allows the user to adjust the noise-resolution trade-off, making it suitable for the analysis of natural suspensions.
authors.affiliation: Ven Te Chow Hydrosystems Laboratory, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
authors.forename: Francisco
authors.initials: F
authors.lastname: Pedocchi
authors.forename: Marcelo H
authors.initials: MH
authors.lastname: García