International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 127 | Views: 201

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 3, March 2013 | Rating: 6.6 / 10


Sigma Delta Modulator with Improved Performance through Evolutionary Algorithm

T. K. Bandopadyay | Manish Saxena [2] | Raghav Shrivastava


Abstract: 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.


Keywords: over sampling, analog to digital convertor, genetic algorithm, crossover, mutation


Edition: Volume 2 Issue 3, March 2013,


Pages: 216 - 220


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