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The Electrocardiogram (ECG) is a valuable signal recording the heart's electrical activity. The filtering quality of ECG signals directly affects the medical diagnosis. Since wavelet analysis can provide both time and frequency information, many nonlinear thresholding methods based on wavelet transform denoising have been applied to the noise reduction of ECG signals. However, most of these threshold...
An efficient unbiased estimation method is proposed for the direct identification of linear continuous-time system with noisy input and output measurements. Using the Gaussian modulating filters, by numerical integration, an equivalent discrete identification model which is parameterized with continuous-time model parameters is developed, and the parameters can be estimated by the least-squares (LS)...
In practical application, the statistical characteristics of signal and noise are usually unknown or can't have been learned so that we hardly design fix coefficient digital filter. In allusion to this problem, the theory of the adaptive filter and adaptive noise cancellation are researched deeply in the thesis. According to the LMS and the RLS algorithms realize the design and simulation of adaptive...
In the field of analysis and processing of weak signals, harmonics always disturb the weak signals and pose a serious problem for the amplitudes of the interferences are comparable to those of the signals. In this paper, independent component analysis (ICA) is used to remove harmonic interferences under the consideration that the original signals and the harmonic interferences are mutually independent...
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