Abstract:A class of 4-band symmetric biorthogonal wavelet bases has been constructed, in which any wavelet system the high-pass filters can be determined by exchanging position and changing the sign of the two low-pass filters. Thus, the least restrictive conditions are needed for forming a wavelet so that the free degrees can be reversed for application requirement. Some concrete examples with high vanishing moments are also given, the properties of the transformation matrix are studied and the optimal model is constr… Show more
“…A so-called d -circular matrix [ 20 ], which is generated by the filters , is denoted as . For , is as follows: …”
Section: Sub-band Operator and
D
-Circular Matrixmentioning
confidence: 99%
“…In [ 20 ], a 4-band symmetric biorthogonal wavelets which is denoted as Op(12-12) is designed. The corresponding wavelet filter banks are as follows: where , , , , , , , , , , , .…”
Section: Examplesmentioning
confidence: 99%
“…It has been shown that the eigenvalues of appear in pairs of reciprocal, and have the same eigenvalues [ 20 ]. It is obvious that .…”
A concept of the sub-band operator of multi-band wavelets is introduced, the theory of d-circular matrices is developed and the upper bound and the lower bound of the norm of the sub-band operator are obtained. Examples are provided to illustrate the results proposed in this paper.
“…A so-called d -circular matrix [ 20 ], which is generated by the filters , is denoted as . For , is as follows: …”
Section: Sub-band Operator and
D
-Circular Matrixmentioning
confidence: 99%
“…In [ 20 ], a 4-band symmetric biorthogonal wavelets which is denoted as Op(12-12) is designed. The corresponding wavelet filter banks are as follows: where , , , , , , , , , , , .…”
Section: Examplesmentioning
confidence: 99%
“…It has been shown that the eigenvalues of appear in pairs of reciprocal, and have the same eigenvalues [ 20 ]. It is obvious that .…”
A concept of the sub-band operator of multi-band wavelets is introduced, the theory of d-circular matrices is developed and the upper bound and the lower bound of the norm of the sub-band operator are obtained. Examples are provided to illustrate the results proposed in this paper.
“…The Symlet wavelet obtains the symmetry by reducing the vanishing moment [12]. In recent years, some scholars have proposed some optimized methods to construct wavelets for specific applications [13][14][15][16][17]. In [13], a class of 4-band symmetric biorthogonal wavelet bases is constructed.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, some scholars have proposed some optimized methods to construct wavelets for specific applications [13][14][15][16][17]. In [13], a class of 4-band symmetric biorthogonal wavelet bases is constructed. They proposed that the high-pass filters can be determined by exchanging position and changing the sign of the two low-pass filters in any wavelet system.…”
Purpose: Wavelet denoising is one of the denoising methods commonly used for ECG signals. However, due to the frequency overlap between the EMG and ECG, the feeble characteristics of ECG signals exists the risk of being weakened in the process of filtering noise. This paper presents a method of modified wavelet design and applies it to the denoising of ECG signals. Materials and methods: The optimized filter coefficients are obtained by approximating the amplitude-frequency response of the ideal filter, and the wavelet is constructed with the optimized filter coefficients. The algorithm is tested by clinical ECG data. Results: The results show that the proposed denoising method can remove the high-frequency noise effectively and enhance the characteristic information of P waves and T waves, and retain the characteristic information of the atrial fibrillation signals simultaneously. Compared with db4 and sym4 wavelets, the proposed wavelet can improve the signal to noise ratio and reduce the mean square error effectively at the same time. Conclusion: The modified wavelet design method proposed in this paper can effectively remove high-frequency noise while retaining and enhancing weak features. It provides a theoretical guidance for the de-noising of ECG signals in mobile medicine and also provides a way for other types of weak feature signal denoising.
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