Adaptive filtering method, adaptive filter and noise control system

An adaptive filter and adaptive filtering technology, applied in the direction of adaptive network, electrical components, impedance network, etc., can solve the problems of easy divergence and instability of LMS algorithm, achieve rapid convergence and improve the effect of noise reduction

Active Publication Date: 2019-05-03
GOERTEK INC
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides an adaptive filtering method, an adaptive filter and a noise control system to solve the problem that the LMS algorithm is unstable and easy to diverge by only using the error signal as the update factor in the background environment where the energy of the noise signal changes greatly question

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Adaptive filtering method, adaptive filter and noise control system
  • Adaptive filtering method, adaptive filter and noise control system
  • Adaptive filtering method, adaptive filter and noise control system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0018] Hereinafter, embodiments of the present invention will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0019] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the invention. The words "a", "an" and "the" used herein shall also include the meanings of "plurality" and "multiple", unless the context clearly indicates otherwise. In addition, the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an adaptive filtering method, an adaptive filter and a noise control system. The noise control system comprises a primary sensor, an error sensor, a secondary sound source andan adaptive filter. The self-adaptive filter comprises a self-adaptive filtering unit and a weight coefficient updating unit. The self-adaptive filtering method comprises the steps that a self-adaptive filter receives a reference signal and obtains an output signal according to the reference signal and a filter weight coefficient so as to drive a loudspeaker to generate a secondary noise signal; And a convergence step length of a preset algorithm is calculated according to the reference signal and the error signal sent by the error sensor, and a filter weight coefficient is updated by using the reference signal, the error signal and the preset algorithm for determining the convergence step length to adjust the intensity of the secondary noise signal until the error signal reaches a presetthreshold value. According to the method, the algorithm can be stably and quickly converged in a background environment with large noise signal energy change, and the noise reduction effect of the system is improved.

Description

technical field [0001] The invention relates to an adaptive filtering method, an adaptive filter and a noise control system. Background technique [0002] Adaptive filter has always been one of the research hotspots in the field of signal processing. After years of development, it has been widely used in digital communication, radar, sonar, seismology, navigation system, biomedicine and industrial control and other fields. [0003] The most widely used adaptive algorithm is the Least Mean Square (LMS) algorithm. The LMS algorithm is a search algorithm that simplifies the calculation of the gradient vector by properly adjusting the objective function. Due to its computational simplicity, the LMS algorithm and others related to it have been widely used in various applications of adaptive filtering. [0004] At present, the active noise control technology based on the variable step size (Variable Step Size, VSS) LMS (referred to as VSS-LMS) algorithm can well solve the contrad...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00
Inventor 张丽
Owner GOERTEK INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap