Self-adapting noise elimination apparatus and method

A technology of noise eliminator and adaptive filter, which is applied in the direction of two-way sound reinforcement telephone system, wired transmission system, electrical components, etc., and can solve the problems of adaptive filter algorithm steady-state imbalance, error signal pollution, etc.

Inactive Publication Date: 2012-10-10
SUN YAT SEN UNIV
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Problems solved by technology

[0013] On the other hand, even if the improved adaptive LMS algorithm is adopted, there are still two outstanding problems: in the actual system, there is inevitably interference noise v(n) at the main input end, and the error signal e(n) is polluted by noise , the adaptive filtering algorithm will produce a steady-state misalignment

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  • Self-adapting noise elimination apparatus and method
  • Self-adapting noise elimination apparatus and method
  • Self-adapting noise elimination apparatus and method

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[0083] The present invention will be further described below in conjunction with drawings and embodiments.

[0084] The minimum mean square error adaptive filter 1 device structure of the present invention and the connection mode of each module are as follows figure 2 shown. The device is composed of two parts: a filtering module 11 and a tap coefficient updating control module 12; wherein the filtering module 11 is composed of a delay module 110, a multiplier module 111 and an adder module 112. Delay module 110 is made up of several unit delay units 1100, with unit delay operator Z -1 Indicates that when an operation is performed on the input signal x(n), the result is output as x(n-1). The number of delay elements in a filter is called the filter order and determines the finite duration of the impulse response. The multiplier module 111 is composed of several multipliers 1110, and the function of each multiplier 1110 is to multiply the tap coefficients with the tap input...

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Abstract

The invention provides an adaptive noise cancellation device and a realizing method, wherein the minimum mean-squared error adaptive filter in the adaptive noise cancellation device adopts the new iteration formula, makes full use of trigonometric function character, accords with the step adjusting principle, advances the convergence rate and the trace ability when ensuring the lower steady stateerror, also has excellent antijamming capability and lower computation complexity. The single track structure makes full use of the psuedo-periodicity of the speech signal, to make the reference input of the noise canceler as the main input related delay signal, which only needs one pick-up, and the related condition is easily controlled and the structure of the noise canceler is improved. The noise canceler real time or nonreal time estimates the weighted vector of the filter tap through the signal free of the noise with regularity, thereby advancing the convergence rate and the convergence precision at the same time.

Description

technical field [0001] The invention relates to an adaptive noise elimination technology, in particular to a digital adaptive noise eliminator, which is used to suppress and eliminate digital and speech noise generated by wireless intercom. Background technique [0002] In today's digital home era, the mobile sector has been the fastest growing market in recent years. A wide variety of mobile devices are flooding people's modern life, and endless mobile applications have brought people a richer and more comfortable life. According to reports, in November 2007, at the "Mobile Internet International Symposium", Wang Jianzhou, president of China Mobile, said that China's mobile phone users have exceeded 500 million, and the penetration rate of mobile devices in cities across the country is extremely high, and the replacement speed is fast. The market still has great potential, and the rural market contributes the most to China Mobile's new users and new revenue. The populariz...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B3/21H04M9/08
Inventor 罗笑南张娜
Owner SUN YAT SEN UNIV
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