Sigma Delta Modulator with Improved Performance through Evolutionary Algorithm

Sigma�delta modulation is the most popular form of analog-to-digital conversion used in audio applications. The sigma delta conversion technique has been in existence for many years, but recent technological advances now make the devices practical and now area of usage becoming very large. The main thing of these converters is that they are the only low cost conversion method which provides both high dynamic range and flexibility in converting low bandwidth input signals. In this paper we explain how performance is improved using genetic algorithm (GA). In particular, the proposed converter makes use of low-distortion swing suppression SDM architecture which is highly suitable for low oversampling ratios to attain high linearity over a wide bandwidth. GA- based search engine is a stochastic search method which can find the optimum solution within the given constraints.