Loudspeaker nonlinear parameter identification method with self-adaptive multi-step length

A parameter identification and loudspeaker technology, applied in the direction of electrical components, etc., can solve problems such as the difficulty of applying nonlinear models, and achieve the effects of accelerated convergence speed, high efficiency and automation, and strong universality

Active Publication Date: 2020-08-21
NANJING UNIV
View PDF16 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is limited to linear models and is difficult to apply to more complex nonlinear models with many parameters.

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
  • Loudspeaker nonlinear parameter identification method with self-adaptive multi-step length
  • Loudspeaker nonlinear parameter identification method with self-adaptive multi-step length
  • Loudspeaker nonlinear parameter identification method with self-adaptive multi-step length

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] It is easy to understand that, according to the technical solution of the present invention, those skilled in the art can imagine various implementations of the present invention without changing the essence and spirit of the present invention. Therefore, the following specific embodiments and drawings are only exemplary descriptions of the technical solution of the present invention, and should not be regarded as the entirety of the present invention or as a limitation or limitation on the technical solution of the present invention.

[0031] The nonlinear parameters of the dynamic speaker model include the electromechanical coupling factor Bl and the equivalent stiffness coefficient K of the suspension system, which are expressed as polynomial functions related to the speaker diaphragm displacement x:

[0032] Bl(x) = B 0 +B 1 x+B 2 x 2 +B 3 x 3 +B 4 x 4 , (1)

[0033] K(x)=K 0 +K 1 x+K 2 x 2 +K 3 x 3 +K 4 x 4 . (2)

[0034] The coefficients of the ab...

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 relates to a loudspeaker nonlinear parameter identification method with a self-adaptive multi-step size. According to the method, the nonlinear parameters are obtained through iterativeupdating; in each iteration, the nonlinear parameters are updated to be the step length set by the parameters, and the step length can be adjusted according to the preset gain multiple instead of onlysetting a zero setting switch for the step length, so the algorithm convergence speed is increased; in the working process, the step length of each parameter can be automatically adjusted, the step length does not need to be manually and repeatedly tried for targeted optimization, the universality is high, and the efficiency and the automation degree are high. The method is suitable for moving-coil loudspeakers of various models, sizes and purposes, and better conforms to physical reality and application scenes compared with a linear model.

Description

technical field [0001] The invention relates to a loudspeaker nonlinear parameter identification method with self-adaptive multi-step length. Background technique [0002] Dynamic speakers are cheap, mature technology, and have a wide range of applications in various scenarios. But it produces noticeable distortion when operating under large-signal conditions, compromising sound quality. Establishing an accurate nonlinear model of the dynamic speaker and identifying its parameters are the basis for controlling the distortion. Among the existing parameter identification methods, the gradient descent identification method based on the nonlinear lumped parameter model is simple in form and clear in physical meaning, so it has high practical value and is the most widely used. However, this parameter identification method will be affected by the hyperparameter of the step size, which requires special attention in practical applications. If the step size is set too large, the a...

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): H04R29/00
CPCH04R29/003
Inventor 沈勇陈立张兆奇田兴夏洁
Owner NANJING UNIV
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