Performance Analysis of New Hybrid Thresholding Filter on Biological Signals
A. Ravi Naga Teja, V. V. K. D. V. Prasad, M. Tech Student · 2014
To estimate the biological signals from noisy environment wavelet shrinkage method is popularly used. Hard and garrote filters are existing filters in this method. A new hybrid thresholding filter is designed in this paper for remove the noise present in the signal. This filter is applied to ECG signals corrupted with white Gaussian noise. FDR method and Hypothesis method are used for calculate the threshold value for thresholding filter. The results of hybrid thresholding filter are compared with existing filters using Signal to Noise Ratio (SNR) and Mean Square Error (MSE). From the results, it is clear that the new hybrid thresholding filter performs better than both existing hard and garrote filters with FDR method and Hypothesis method.