Change Point Estimation of Bar Code Signals

Abstract

Existing methods for bar code signal reconstruction is based on either the local approach or the regularization approach with total variation penalty. We formulate the problem explicitly in terms of change points of the 0-1 step function. The bar code is then reconstructed by solving the nonlinear least squares problem subject to linear inequality constraints, with starting values provided by the local extremas of the derivative of the convolved signal from discrete noisy data. Simulation results show a considerable improvement of the quality of the bar code signal using the proposed hybrid approach over the local approach. EDICS Category:IMD-ANAL, SAS-SYST I