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Variable regularization proportional normalized sub-band adaptive filtering method

A technology of adaptive filtering and adaptive filter, applied in the field of signal processing, can solve problems such as slow convergence speed, poor performance, and unsatisfactory performance, and achieve the effects of fast convergence speed, good robustness, and low offset

Active Publication Date: 2018-06-22
HUAQIAO UNIVERSITY
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Problems solved by technology

However, when the input signal is a highly correlated speech signal, the algorithm has a slow convergence speed and poor performance, and cannot meet the requirements for high precision speech enhancement scenarios.

Method used

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  • Variable regularization proportional normalized sub-band adaptive filtering method
  • Variable regularization proportional normalized sub-band adaptive filtering method
  • Variable regularization proportional normalized sub-band adaptive filtering method

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Embodiment Construction

[0048] The present invention will be further described below through specific embodiments.

[0049] A variable regularization ratio normalization subband adaptive filtering method, comprising the steps of:

[0050] 1) if figure 1 Acoustic feedback suppression for digital hearing aids based on normalized sub-band adaptive filtering algorithm, where is the desired signal, including the input signal and echo feedback signal input signal including real speech signals and the system noise signal Due to, in acoustic feedback cancellation, due to is the real speech signal that needs to be amplified, so it can be ignored first, then the expected signal can be expressed as:

[0051]

[0052] Among them, w o =[w o,0 w o,1 …w o,k-1 ] indicates the acoustic feedback path A vector of coefficients; the signal collected from the microphone Subtract from pass The estimated value of the feedback signal after The signal after removing the acoustic feedback can b...

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Abstract

The invention discloses a variable regularization proportional normalized sub-band adaptive filtering method, which is used for updating an adaptive filter based on a hearing aid feedback control system of a normalized subband adaptive filtering algorithm, based on proportional adaptive technology and variable regularization parameter variation and combined with a subband adaptive filtering algorithm. In order to further improve performance of the adaptive filtering algorithm, the method updates regularization parameters based on input signals, mean square error and estimated system noise energy and through the mean square deviation maximum reduction principle to form a variable regularization proportional parameter-update sub-band adaptive filtering method; and the method, applied to an acoustic feedback system of a hearing aid, can obtain a better acoustic feedback cancellation effect and can obtain lower steady-state misadjustment amount and faster convergence speed.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a variable regularization ratio normalization sub-band adaptive filtering method. Background technique [0002] At present, adaptive filtering algorithms have many applications in life and production, such as system identification, interference prediction, adaptive equalization and offsetting, etc. Due to the existence of acoustic feedback in hearing aids, it has brought great troubles to many hearing loss patients and seriously affected their daily life. Many acoustic feedback cancellation (AFC) methods based on adaptive filtering algorithms have been used to solve such problems, and the normalized minimum mean square error (NLMS) has been widely used because of its robustness and simple calculation It is often used to solve the acoustic echo phenomenon. However, when the input signal is a highly correlated speech signal, the algorithm has a slow convergence speed and poor per...

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Application Information

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IPC IPC(8): H04R25/00
CPCH04R25/453H04R25/505H04R2225/41
Inventor 唐加能郑洋
Owner HUAQIAO UNIVERSITY
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