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
CN108200522AActive Publication Date: 2018-06-22HUAQIAO UNIVERSITY
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
HUAQIAO UNIVERSITY
Publication Date
2018-06-22

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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.
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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...

Claims

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