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Optimization of Multistage Decimation Processing Using Genetic Algorithm

Richa

Sample rate conversion requires less computation when implemented in multiple stages. The optimization problem for the design of multistage decimators is considered. Corresponding objective function for sample rate reduction is based upon minimising multiplies and adds per second (MADS) of the decimation filter. In this paper genetic algorithm approach is used to solve the optimisation problem . The decimation ratios of multistage decimation filters are optimized. Calculation of MADS for all the cases finally decide the optimum multistage system for decimation. The results are compared with the well established existing methods, where its particular characteristics are highlighted .The approach is also very suitable for higher decimation ratio where calculation by previous methods took significant time.