slugOptimization And Reduction in Noise in Digital Filters Using Biomedical Application

Abstract

The main emphasis is laid on bit-level optimization of digital filters architecture such that all the coefficients are representable using few bits with given constraints. The desired finite-precision (quantized) coefficients can be conveniently optimized within acceptable filter parameters specification such that the resulting filter meets the given criteria with the simplest coefficient representation forms. The optimized filter is used for filtering biomedical signals such as Electrocardiograms (ECG), Electroencephalogram (EEG). MATLAB package is used which is a powerful tool for the interactive design in most of the scientific applications and complex engineering calculations.

Authors and Affiliations

Swati Chowdhary, Mamta Sarde

Keywords

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  • EP ID EP18261
  • DOI -
  • Views 334
  • Downloads 13

How To Cite

Swati Chowdhary, Mamta Sarde (2014). slugOptimization And Reduction in Noise in Digital Filters Using Biomedical Application. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(6), -. https://europub.co.uk/articles/-A-18261