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Method for constructing biorthogonal wavelet filter bank

A bi-orthogonal wavelet and filter bank technology, applied in stethoscope, impedance network, digital technology network, etc., can solve the problems of phase distortion, increase of uncertainty factors, poor result stability, etc., and achieve a small reconstruction error rate, Accurate heart sound classification information, good denoising effect

Inactive Publication Date: 2014-10-08
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0003] In the heart sound signal processing process, in order to obtain the best results, the db series wavelet is mainly used for denoising the heart sound signal, and the more symmetrical coif series wavelet is mainly used for signal classification, which uses different wavelet bases for different functions The flexibility of the method is poor, which means that the same heart sound is processed by different wavelet bases, the uncertainty factors will increase, and the obtained results are often poor in stability. Introduce phase distortion, resulting in increased reconstruction bit error rate

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  • Method for constructing biorthogonal wavelet filter bank

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Embodiment Construction

[0067] A kind of construction method of biorthogonal wavelet filter bank, this filter bank is used for processing heart sound signal, suppose φ (t), ψ(t) and For the biorthogonal wavelet filter bank h, g, Corresponding biorthogonal scaling function and wavelet function, the method includes the following steps:

[0068] Step 1: Select the filter length to construct the heart sound wavelet. Take the decomposition low-pass filter h(n) and the reconstruction low-pass filter The length of is L=10.

[0069] Step 2: Correspondingly take ψ(t) and The order of the vanishing moment is 5, so h(n)={a 1 ,a 2 ,a 3 ,a 4 ,a 5 ,a 5 ,a 4 ,a 3 ,a 2 ,a 1}, h ~ ( n ) = { b 1 , b 2 , b 3 , b 4 , ...

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Abstract

The invention discloses a method for constructing a biorthogonal wavelet filter bank. The method includes the following steps: determining the length N of a decomposition low-pass filter h(n) and the length M of a reconstruction low-pass filter (please see the specifications) according to the requirements of wavelet functions to be constructed, wherein the N and the M are even numbers; determining the orders of vanishing moments of dual wavelet generating functions (please see the specifications) to be constructed; calculating the biorthogonal complete reconstruction filter bank according to a formula set to obtain a set of coefficients of the biorthogonal complete reconstruction filter bank; substituting the results into a dual-scale equation to construct a set of biorthogonal wavelet bases (please see the specifications), decomposing a decomposition high-pass filter corresponding to the wavelet function (please see the specifications), and reconstructing a reconstruction high-pass filter corresponding to the wavelet function (please see the specifications). Compared with common db-series wavelet filter banks and common bior-series wavelet filter banks, heart sound signals are processed through the biorthogonal wavelet filter bank constructed with the method, and the better noise reduction effect, the accurate heart sound classified information and the smaller reconstruction error rate can be obtained.

Description

technical field [0001] The invention relates to a construction method of a biorthogonal wavelet filter group, which is mainly used for heart sound signal processing. Background technique [0002] The sound signal is one of the most important physiological signals in the human body. It is the composite sound produced by the mechanical vibration of the myocardium, blood and valves during the diastolic and systolic movement of the heart. Physiological and pathological information of the section. [0003] In the heart sound signal processing process, in order to obtain the best results, the db series wavelet is mainly used for denoising the heart sound signal, and the more symmetrical coif series wavelet is mainly used for signal classification, which uses different wavelet bases for different functions The flexibility of the method is poor, which means that the same heart sound is processed by different wavelet bases, the uncertainty factors will increase, and the obtained res...

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Application Information

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IPC IPC(8): H03H17/02A61B7/04
Inventor 成谢锋张正
Owner NANJING UNIV OF POSTS & TELECOMM
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