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A method based on spatial correlation filtering and stationary wavelet transform is proposed to eliminate the noise in ECG signal. The spatial correlation filtering is applied to shrink the wavelet coefficients, and the stationary wavelet transform is used to decompose the noisy signal. The experiment shows that the algorithm is good for noise reduction of ECG signal.
After analyzing the current wavelet threshold de-noising methods and independent component analysis (ICA) methods in EEG, this paper proposed a novel method for EEG de-noising which combines the new threshold de-noising method with ICA method and implicates it to deal with mental EEG of imaging left-right hands movement, and then classifies the signal by support vector machine (SVM). The correct classification...
The edge is the most important high-frequency information of a digital image. The traditional filter eliminates the noise effectively. But it will make the image blurry. So we should protect the image of the edge when reduce the noise of the image. The wavelet analysis method is a time-frequency analysis method which selects the appropriate frequency band adaptively based on the characteristics of...
With the ever-increasing demand for the quality of steel plate and strip products, roll eccentricity has become an important factor affecting the product quality. In this paper, the roll eccentricity signal is modeled based on modern signal processing theory. As the data gained from the sensor contain interference, the wavelet threshold de-noising method is developed. By using wavelet analysis, the...
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