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Variable step size normalized sub-band adaptive filter method applied to acoustic feedback inhibition

A technology of adaptive filtering and adaptive filtering, applied in the field of signal processing, can solve the problems of non-stationary characteristics of environmental noise and higher accuracy requirements of algorithms, and achieve the effect of fast convergence speed, good robustness, and good removal.

Inactive Publication Date: 2017-10-24
HUAQIAO UNIVERSITY
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Problems solved by technology

However, the contradiction between the amount of misalignment and the convergence speed still exists, and the non-stationary characteristics of the environmental noise are obvious, especially for digital hearing aids, which are increasingly miniaturized, and the accuracy of the algorithm is required to be higher

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  • Variable step size normalized sub-band adaptive filter method applied to acoustic feedback inhibition
  • Variable step size normalized sub-band adaptive filter method applied to acoustic feedback inhibition
  • Variable step size normalized sub-band adaptive filter method applied to acoustic feedback inhibition

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Embodiment Construction

[0047] Such as figure 1 Shown is the hearing aid feedback suppression system diagram based on the normalized sub-band adaptive filtering algorithm, where d(n) is the signal collected by the microphone, which is equal to the sum of the input signal signal s(n) and the echo feedback signal f(n), The input signal s(n) includes real speech signal x(n) and system noise signal η(n). Since x(n) is the original speech signal that needs to be amplified, it can be ignored in acoustic feedback elimination.

[0048] d(n)=s(n)+f(n)=η(n)+u T (n)·w o (1)

[0049] Among them, w o =[w o,0 ,w o,1 ,...,w o,k-1 ] represents the acoustic feedback path W o The coefficient vector of (z), subtract the estimated value y(n) of the feedback signal after u(n) passes through W(z) from the signal d(n) collected by the microphone, and the signal after removing the acoustic feedback can be obtained e(n), and is amplified by the forward gain G(z) and output by the speaker. Let N be the number of sub...

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Abstract

The invention discloses a variable step size normalized sub-band adaptive filter method applied to acoustic feedback inhibition. According to a hearing-aid feedback control system based on a normalized sub-band adaptive filter algorithm, on the basis of a system noise cancellation principle, estimation is carried out through adoption of an iterative shrinkage method, thereby obtaining noiseless sub-band prior error power; and each sub-band step size is updated, thereby achieving the purpose of eliminating an acoustic feedback signal. According to the method, through adoption of the variable step size adaptive filter method, a coefficient of a sub-band filter is updated; through application of the method in the hearing-aid feedback control system with a long echo path and a short echo path, the acoustic feedback signal can be eliminated well; moreover, relatively high convergence rate and relatively low maladjustment can be obtained; and the contradiction between the steady state maladjustment and the convergence rate in the adaptive filter method is solved.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a variable step length normalized sub-band adaptive filtering method applied to acoustic feedback suppression. Background technique [0002] Adaptive filtering algorithm has a wide range of applications. In modern signal processing theory, it is often used in the fields of system identification, echo cancellation, noise reduction and adaptive interference cancellation. Acoustic feedback is a very common phenomenon in hearing aids. Because it limits the forward gain of digital hearing aids, hearing aid users cannot get enough hearing compensation and cannot understand speech content well. In some specific cases, howling is even produced, which has caused great trouble to hearing aid users. [0003] Nowadays, the most effective and general method to avoid the acoustic feedback phenomenon is the adaptive filtering method, which is characterized by low computational complexity and g...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/15
CPCG06F17/153
Inventor 郑洋唐加能龚雪
Owner HUAQIAO UNIVERSITY
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