Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method for identifying non-stationary acoustic source characteristics by bias coherent technology

A technology for non-stationary sound sources and characteristics, applied in the field of identifying the characteristics of sound sources, and can solve problems that have not yet been discovered.

Inactive Publication Date: 2004-02-04
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In further searches, no literature reports identical or similar to the subject of the present invention have been found

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
  • Method for identifying non-stationary acoustic source characteristics by bias coherent technology
  • Method for identifying non-stationary acoustic source characteristics by bias coherent technology
  • Method for identifying non-stationary acoustic source characteristics by bias coherent technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The following examples are provided in conjunction with the method content of the present invention:

[0016] 1. Assuming that the number and location of sound sources are known, two speakers are used to generate sound to form two cyclostationary sound sources, and two microphones are arranged to extract reference source signals.

[0017] The excitation source for the loudspeaker is:

[0018] Vsource1=Acos(2πf 1 t)*noise(t)

[0019] Vsource2=B(1+Ccos(2πf b t))*cos(2πf a t)

[0020] Among them, A=10, B=C=1, f1=600, f a =600,f b =200, noise is bandpass white noise.

[0021] 2. Arrange 14 microphones in a linear array, scan and measure the entire holographic surface to form a 14×14 holographic surface array; while collecting data on the holographic surface, use two reference source microphones to collect reference source sound signals. During measurement, the acoustic signals of all microphone channels are collected synchronously, and the records are stored in a co...

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 method is as the follows. First, quantity and position of reference source are confirmed, mike array of the reference source is arranged and signal of the reference source is picked up. Then, scan measurement for mike array to holographic face is designed and the holographic face data is collected. At least, sound field of each sound source is separated by utilizing analysis technique of circular sationary partial coherence.

Description

technical field [0001] The invention relates to a method for identifying the characteristics of a sound source, in particular to a method for identifying the characteristics of a non-stationary sound source using the partial coherent partial sound field separation technology of a cyclostationary sound field, which belongs to the field of noise in the physics category. Background technique [0002] Understanding the characteristics of noise sources is the premise of noise control. Therefore, in order to effectively control noise, before noise reduction measures are implemented, noise source diagnosis must be carried out first to determine the location and characteristics of major noise sources. With the development of modern signal processing technology, spectral analysis technology, coherent and partial coherent analysis technology, sound intensity analysis technology and acoustic near-field holography technology have been developed rapidly. After literature search, M.A. Tom...

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): G01H17/00
Inventor 蒋伟康万泉
Owner SHANGHAI JIAO TONG 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
Eureka Blog
Learn More
PatSnap group products