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Active noise control method based on maximum entropy

A technology of active noise control and maximum entropy, which is applied in the direction of sound-emitting devices and instruments, can solve problems such as large residual errors of the algorithm, and achieve the effects of fast convergence, easy implementation, and good information collection

Active Publication Date: 2016-09-28
SOUTHWEST JIAOTONG UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Improve the stability of the algorithm in most cases, but the algorithm has a large residual error

Method used

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  • Active noise control method based on maximum entropy
  • Active noise control method based on maximum entropy
  • Active noise control method based on maximum entropy

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Embodiment

[0042] A kind of specific embodiment of the present invention is, a kind of active noise control method based on maximum entropy, its steps are as follows:

[0043] A. Generation of noisy input vectors

[0044] The main microphone picks up the primary noise value u(n) generated by the noise source at the current time n; the L primary noise values ​​u(n), u(n-1) at the current time n and the previous L-1 time... ,u(n-L+1), constitutes the noise input vector U(n) of the filter at the current moment n, U(n)=[u(n),u(n-1)...,u(n- L+1)] T ; Wherein L=128, is the tap number of filter, and superscript T represents transposition;

[0045]B. The generation of the weight vector, the filter generates the weight coefficients w(n), w(n-1)...w(n-L+1) of the current moment n and the previous L-1 moments, and the L The weight coefficients constitute the weight coefficient vector W(n) of the current moment n, W(n)=[w(n),w(n-1),...,w(n-L+1)]; the current moment When n<129, W(n)=0;

[0046] ...

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Abstract

The invention discloses an active noise control method based on maximum entropy, mainly comprising the following steps: A, a noise input vector is generated: L primary noise values u(n), u(n-1),...,u(n-L+1) of the current moment n and L-1 moments before the moment n constitute a noise input vector of a filter at the current moment n; B, a weight vector is generated: the filter generates the weight coefficients w(n), w(n-1),...,w(n-L+1) of the current moment n and the L-1 moments before the moment n; C, the filter filters the noise input vector U(n) of the current moment n according to the weight coefficient vector of the current moment n to get an output value d^(n) output to a loudspeaker at the current moment; D, an error signal maximum entropy is obtained; E, the nuclear width is updated; F, the weight coefficients are updated; and G, by letting n=n+1, the steps are repeated until the end of iteration. The method of the invention has the advantages of fast convergence, strong ability to control and eliminate various impact noise, and small residual error.

Description

technical field [0001] The invention relates to an adaptive active noise control method. Background technique [0002] With the continuous development of industry, the noise problem is becoming more and more serious. Automated equipment such as engines and compressors produce noise, as do electronic equipment. These noises may not only interfere with communication or automatic control systems, but also cause damage to human health. For noise suppression or control, there are currently two methods: passive noise control and active (active) noise control. Traditional passive noise control methods include isolation, adding obstacles, and mufflers. These methods are expensive and often ineffective for low frequency noise. In contrast, active noise control (ANC) systems, due to their low cost and effective noise removal capabilities (especially low-frequency noise), have received extensive attention in recent years. [0003] The main principle of active noise control system ...

Claims

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Application Information

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IPC IPC(8): G10K11/178
CPCG10K11/178
Inventor 赵海全芦璐
Owner SOUTHWEST JIAOTONG UNIV
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