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In biomedical signal processing, Power Line Interference (50Hz) is one of the most and commonly types of electrical noises that often corrupt the quality of a biomedical data. In this paper, we present a simple tool for ECG signal enhancement approach based on Power Line Interference (PLI) reduction algorithm in Undecimated Wavelet Transform and Interval Thresholding. In our scheme, we use the Undecimated...
Wavelet shrinkage schemes are applied for reducing noise in synthetic and experimental ultrasonic A-scans, using the Discrete Wavelet Transform (DWT) and a cycle-spinning (CS) implementation of Undecimated Wavelet Transform (UWT). A new wavelet-based denoising procedure, which we call Random Partial Cycle Spinning (RPCS) is presented and its performance is compared with that of DWT and a CS implementation...
The choice of threshold in wavelet based image denoising is very critical. The universal threshold is a global threshold utilized for denoising the wavelet coefficients. An effective approach for the estimation of universal threshold based on spatial context modeling of the wavelet coefficients has been proposed. Spatial contextmodeling involves determination of the correlated pixels within a local...
The Electrocardiogram (ECG) is a technique of recording bioelectric currents generated by the heart which will help clinicians to evaluate the conditions of a patient's heart. So it is very important to get the parameters of ECG signal clear without noise. Many of the wavelet based denoising algorithms use DWT (Discrete Wavelet Transform) in the decomposition stage which is suffering from shift variance...
The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Generally, the recorded ECG signal is often contaminated by noise. In order to extract useful information from the noisy ECG signals, the raw ECG signals has to be processed. The baseline wandering is significant and can strongly affect ECG signal analysis. The detection of QRS complexes in an ECG signal provides information...
Since the pressure fluctuation signals are masked by noise and can not be detected, the oil pipeline leakage detection method is not satisfactory on small leakage problem, without more accurate warning and location. This paper uses discrete wavelet transform (DWT), lifting wavelet transform (lifting WT) and undecimated wavelet transform (UWT) to denoise the noisy signals collected in the pipeline...
Thermal noise is the main source of noise in Magnetic Resonance Imaging (MRI) technique. The image is commonly reconstructed by computing inverse discrete Fourier transform of the raw data. The noise in the reconstructed complex data is complex white gaussian noise. The magnitude of the reconstructed magnetic resonance image is used for diagnosis and automatic computer analysis. An efficient method...
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