DESIGN AND IMPLEMENTATION OF A CALIBRATING T-MODEL NEURAL-BASED A D CONVERTER/

A calibrating analog-to-digital (A/D) converter employing a T-Model ne ural network is described. The T-Model neural-based A/D converter arch itecture is presented with particular emphasis on the elimination of l ocal minimum of the Hopfield neural network. Furthermore, a teacher fo rcing algorithm is presented and used to synthesize the A/D converter and correct errors of the converter due to offset and device mismatch. An experimental A/D converter using standard 5-mu m CMOS discrete IC circuits demonstrates high-performance analog-to-digital conversion an d calibrating.