DE-NOISING OF ECG SIGNAL AND MRI IMAGE USING WAVELET TRNSFORM

Abstract

Most of the signals in practice are time-domain signals in their raw format. Time-amplitude representation is not always the best representation of the signal for most signal processing related applications. In many cases, the most distinguished information is hidden in the frequency content of the signal. To measure frequency, or to find the frequency content of a signal Fourier Transform (FT) is used. Fourier analysis has a serious drawback that in transforming to the frequency domain, time information is lost. This drawback isn’t very important if signal is a stationary signal. However, most interesting signals are non-stationary (ECG, EMG. EEG etc) and thus Fourier analysis is not suited to detecting transitory characteristics. The traditional Fourier transform only provides the spectral information of a signal and thus it is not suitable for the analysis of non-stationary signals and hence a more suitable technique i.e. the Wavelet Technique has been applied for the study. The ...