[go: up one dir, main page]

CN104361893A - Mobile phone noise reduction device and noise reduction method thereof - Google Patents

Mobile phone noise reduction device and noise reduction method thereof Download PDF

Info

Publication number
CN104361893A
CN104361893A CN201410572889.0A CN201410572889A CN104361893A CN 104361893 A CN104361893 A CN 104361893A CN 201410572889 A CN201410572889 A CN 201410572889A CN 104361893 A CN104361893 A CN 104361893A
Authority
CN
China
Prior art keywords
input end
noise reduction
function
mobile phone
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410572889.0A
Other languages
Chinese (zh)
Inventor
梁小江
苏攀
王雪松
游平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
JIANGXI CHUANGCHENG ELECTRONIC Co Ltd
Original Assignee
JIANGXI CHUANGCHENG ELECTRONIC Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by JIANGXI CHUANGCHENG ELECTRONIC Co Ltd filed Critical JIANGXI CHUANGCHENG ELECTRONIC Co Ltd
Priority to CN201410572889.0A priority Critical patent/CN104361893A/en
Publication of CN104361893A publication Critical patent/CN104361893A/en
Pending legal-status Critical Current

Links

Landscapes

  • Soundproofing, Sound Blocking, And Sound Damping (AREA)

Abstract

The invention discloses a noise reduction device which comprises a noise inlet. A first input end is arranged at the position of the center of the noise inlet, a plurality of second input ends are annularly arranged at the position of the entry of the noise inlet, third input ends identical to the second input ends in number are annularly arranged on the outer side of the first input end, and the first input end, the second input ends and the third input ends are respectively connected to an audio processing module. The invention further discloses a noise reduction method adopting the mobile phone noise reduction device. By the arrangement, the shortcoming in the prior art can be overcome; the level of audio noise reduction is greatly improved through improvement of an audio collection device and by means of wavelet transformation optimized specifically to the collection device.

Description

A kind of noise reduction device of mobile phone and noise-reduction method thereof
Technical field
The present invention relates to audio defeat technical field, especially a kind of noise reduction device of mobile phone and noise-reduction method thereof.
Background technology
Speech quality in mobile phone communication process is an important research direction of this area.Chinese invention patent CN 102185992B discloses a kind of bidirectional active denoising device for mobile phone, and this structure serves certain effect to mobile phone communication noise reduction.But noise and acoustic source are closely in a lot of situation, this structure accurately cannot be separated the audio frequency mixed, and easily causes the damage of acoustic source.In recent years, the fast development of wavelet de-noising technology, also had some to be successfully applied to the example of audio defeat.But existing wavelet de-noising technology also only rests on and directly to gather sound signal and the level of noise reduction, cannot be separated accurately noise.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of noise reduction device of mobile phone and noise-reduction method thereof, the deficiencies in the prior art can be solved, logical improve audio collecting device, and the means of wavelet transformation by being optimized for harvester, greatly improve the level of audio defeat.
For solving the problems of the technologies described above, the technical solution used in the present invention is as follows.
A kind of noise reduction device of mobile phone, comprise sound inlet, the center of sound inlet is provided with first input end, inflow point's annular of sound inlet is provided with several the second input ends, the exterior annular of first input end is provided with three input end identical with the second input end quantity, and first input end, the second input end and the 3rd input end are connected to audio processing modules respectively.
As preferably, described first input end is circular, and the center of first input end is provided with truncated cone-shaped depression, and the end face of truncated cone-shaped depression and the area ratio of bottom surface are 7: 6 ~ 11: 10, and the sidewall of truncated cone-shaped depression is provided with first of annular and gathers port.
As preferably, described second input end is the circular arc concentric with described first input end, and the second input end top is provided with hemispheric second and gathers port.
As preferably, described 3rd input end is rectangle, and the surface of the 3rd input end is provided with the 3rd and gathers port, and the 3rd input end tilts towards the outside of first input end, and the angle of the 3rd input end and first input end is 100 ° ~ 120 °.
As preferably, described sound inlet is provided with filtration gauze.
Use a noise-reduction method for above-mentioned noise reduction device of mobile phone, comprise the following steps:
A, first input end, the second input end and the 3rd input end is used to obtain the different signal of three of same audio frequency respectively;
B, the dwt function in matlab software is used to carry out one-dimensinal discrete small wave transformation the signal of first input end collection, use the dwtpet2 function in matlab software to carry out two-dimension periodic wavelet transformation the signal of the second input end collection, use the dwtpet function in matlab software to carry out One Dimension Periodic wavelet transformation the signal of the 3rd input end collection; The signal carrying out wavelet transformation is carried out denoising;
C, the waverec function in matlab software is used to carry out wavelet reconstruction through the signal of step B process the second input end and the 3rd input end, then the signal result of reconstruct and first input end being entered step B process uses the upcoef function in matlab software directly to reconstruct, and is reduced to sound signal.
As preferably, in step B.
Dwt function is used to carry out in one-dimensinal discrete small wave transformation process, being chosen as of threshold alpha.
Dwtpet2 function is used to carry out in two-dimension periodic wavelet transform procedure, being chosen as of threshold value beta.
Dwtpet function is used to carry out in One Dimension Periodic wavelet transform procedure, being chosen as of threshold gamma
γ ( a , b ) = Max ( α , β ) ( | α | > | β | ) 0.32 5 ′ α + 0.67 5 ′ β ( | α | ≤ | β | ) .
The beneficial effect adopting technique scheme to bring is: the present invention is by the structure of optimizing audio harvester, triple collection is carried out to same sound signal, and then wavelet transformation and reconstruct are targetedly carried out to the sound signal come by different channel acquisition, thus improve the separation rate of noise signal and acoustic source, improve noise abatement.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of hardware configuration in the present invention's embodiment.
In figure: 1, sound inlet; 2, first input end; 3, the second input end; 4, the 3rd input end; 5, audio processing modules; 6, truncated cone-shaped depression; 7, first port is gathered; 8, second port is gathered; 9, the 3rd port is gathered; 10, filtration gauze; 11, rectangle resonance piece; 12; Annular resonance sheet.
Embodiment
The standardized element used in the present invention all can be commercially, shaped piece all can carry out customized according to instructions with the record of accompanying drawing, the concrete connected mode of each part all adopts the conventional means such as bolt, rivet, welding, stickup ripe in prior art, is not described in detail in this.
With reference to Fig. 1, the present invention's embodiment comprises sound inlet 1, the center of sound inlet 1 is provided with first input end 2, inflow point's annular of sound inlet 1 is provided with several the second input ends 3, the exterior annular of first input end 2 is provided with three input end 4 identical with the second input end 3 quantity, and first input end 2, second input end 3 and the 3rd input end 4 are connected to audio processing modules 5 respectively.
It should be noted that described first input end 2 is for circular, the center of first input end 2 is provided with truncated cone-shaped depression 6, and the truncated cone-shaped depression end face of 6 and the area ratio of bottom surface are 8: 7, and the sidewall of truncated cone-shaped depression 6 is provided with first of annular and gathers port 7.
It should be noted that described second input end 3 is the circular arc concentric with described first input end 2, the second input end 3 top is provided with hemispheric second and gathers port 8.
It should be noted that described 3rd input end 4 is rectangle, the surface of the 3rd input end 4 is provided with the 3rd and gathers port 9, and the 3rd input end 4 tilts towards the outside of first input end 2, and the 3rd input end 4 is 105 ° with the angle of first input end 2.
It should be noted that and described sound inlet 1 is provided with filtration gauze 10.
Wherein, be provided with between the second input end 3 and first input end 2 between rectangle resonance piece the 11, three input end 4 and first input end 2 and be provided with annular resonance sheet 12.The thickness of rectangle resonance piece 11 is 0.15mm, and Young modulus is 0.3MPa, and the thickness of annular resonance sheet 12 is 0.18mm, and Young modulus is 0.25MPa.
Use a noise-reduction method for above-mentioned noise reduction device of mobile phone, comprise the following steps:
A, first input end 2, second input end 3 and the 3rd input end 4 is used to obtain the different signal of three of same audio frequency respectively;
B, the signal gathered by first input end 2 use the dwt function in matlab software to carry out one-dimensinal discrete small wave transformation, the signal gathered by second input end 3 uses the dwtpet2 function in matlab software to carry out two-dimension periodic wavelet transformation, and the signal gathered by the 3rd input end 3 uses the dwtpet function in matlab software to carry out One Dimension Periodic wavelet transformation; The signal carrying out wavelet transformation is carried out denoising;
C, the waverec function in matlab software is used to carry out wavelet reconstruction through the signal of step B process the second input end 3 and the 3rd input end 4, then the signal result of reconstruct and first input end 2 being entered step B process uses the upcoef function in matlab software directly to reconstruct, and is reduced to sound signal.
In step B, dwt function is used to carry out in one-dimensinal discrete small wave transformation process, being chosen as of threshold alpha.
Dwtpet2 function is used to carry out in two-dimension periodic wavelet transform procedure, being chosen as of threshold value beta.
Dwtpet function is used to carry out in One Dimension Periodic wavelet transform procedure, being chosen as of threshold gamma
γ ( a , b ) = Max ( α , β ) ( | α | > | β | ) 0.325 α + 0.675 β ( | α | ≤ | β | ) .
In step C, before the waverec function in the signal use matlab software of step B process carries out wavelet reconstruction to the second input end 3 and the 3rd input end 4, the second input end 3 and the 3rd input end 4 are used time-dependent Schrodinger equation respectively through the signal of step B process
- h 2 2 m ▿ 2 Ψ ( r , t ) + V ( r ) Ψ ( r , t ) = ih ∂ ∂ t Ψ ( r , t )
Be normalized.Before the signal result of above-mentioned reconstruct and first input end 2 being entered to step B process uses the upcoef function in matlab software directly to reconstruct, the signal that the result of above-mentioned reconstruct and first input end 2 entered step B process is carried out Orthogonal Decomposition.
The prior art quoted in use background technology and the present embodiment carry out contrast test test, and adopt same sound signal to input, the output signal-to-noise ratio obtained is::
Product The signal to noise ratio (S/N ratio) (dB) of output audio signal
The embodiment of institute's referenced patents in background technology 81
The present embodiment 126
More than show and describe ultimate principle of the present invention and principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection domain is defined by appending claims and equivalent thereof.

Claims (7)

1. a noise reduction device of mobile phone, it is characterized in that: comprise sound inlet (1), the center of sound inlet (1) is provided with first input end (2), inflow point's annular of sound inlet (1) is provided with several the second input ends (3), the exterior annular of first input end (2) is provided with three input end (4) identical with the second input end (3) quantity, and first input end (2), the second input end (3) and the 3rd input end (4) are connected to audio processing modules (5) respectively.
2. noise reduction device of mobile phone according to claim 1, it is characterized in that: described first input end (2) is for circular, the center of first input end (2) is provided with truncated cone-shaped depression (6), the truncated cone-shaped depression end face of (6) and the area ratio of bottom surface are 7: 6 ~ 11: 10, and the sidewall of truncated cone-shaped depression (6) is provided with first of annular and gathers port (7).
3. noise reduction device of mobile phone according to claim 1, it is characterized in that: described second input end (3) is the circular arc concentric with described first input end (2), the second input end (3) top is provided with hemispheric second and gathers port (8).
4. noise reduction device of mobile phone according to claim 1, it is characterized in that: described 3rd input end (4) is rectangle, the surface of the 3rd input end (4) is provided with the 3rd and gathers port (9), 3rd input end (4) tilts towards the outside of first input end (2), and the 3rd input end (4) is 100 ° ~ 120 ° with the angle of first input end (2).
5. noise reduction device of mobile phone according to claim 1, is characterized in that: described sound inlet (1) is provided with filtration gauze (10).
6. use a noise-reduction method for the noise reduction device of mobile phone in above-mentioned any one, it is characterized in that comprising the following steps:
A, first input end (2), the second input end (3) and the 3rd input end (4) is used to obtain the different signal of three of same audio frequency respectively;
B, the signal gathered by first input end (2) use the dwt function in matlab software to carry out one-dimensinal discrete small wave transformation, the signal gathered by second input end (3) uses the dwtpet2 function in matlab software to carry out two-dimension periodic wavelet transformation, and the signal gathered by the 3rd input end (3) uses the dwtpet function in matlab software to carry out One Dimension Periodic wavelet transformation; The signal carrying out wavelet transformation is carried out denoising;
C, the waverec function in matlab software is used to carry out wavelet reconstruction through the signal of step B process the second input end (3) and the 3rd input end (4), then the signal result of reconstruct and first input end (2) being entered step B process uses the upcoef function in matlab software directly to reconstruct, and is reduced to sound signal.
7. noise-reduction method according to claim 6, is characterized in that: in step B, uses dwt function to carry out in one-dimensinal discrete small wave transformation process, being chosen as of threshold alpha.
Dwtpet2 function is used to carry out in two-dimension periodic wavelet transform procedure, being chosen as of threshold value beta.
Dwtpet function is used to carry out in One Dimension Periodic wavelet transform procedure, being chosen as of threshold gamma
CN201410572889.0A 2014-10-24 2014-10-24 Mobile phone noise reduction device and noise reduction method thereof Pending CN104361893A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410572889.0A CN104361893A (en) 2014-10-24 2014-10-24 Mobile phone noise reduction device and noise reduction method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410572889.0A CN104361893A (en) 2014-10-24 2014-10-24 Mobile phone noise reduction device and noise reduction method thereof

Publications (1)

Publication Number Publication Date
CN104361893A true CN104361893A (en) 2015-02-18

Family

ID=52529149

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410572889.0A Pending CN104361893A (en) 2014-10-24 2014-10-24 Mobile phone noise reduction device and noise reduction method thereof

Country Status (1)

Country Link
CN (1) CN104361893A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105162998A (en) * 2015-08-24 2015-12-16 小米科技有限责任公司 Denoising method and denoising devices for dual tone multi frequency signal
CN108919065A (en) * 2018-05-16 2018-11-30 国网浙江省电力有限公司电力科学研究院 GIS ultrahigh frequency partial discharge monitoring management system
CN113421566A (en) * 2021-08-20 2021-09-21 航天科工通信技术研究院有限责任公司 Portable voice noise reduction device based on wind noise

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0625864A1 (en) * 1993-05-18 1994-11-23 Nec Corporation Differential microphone on a portable radio telephone
EP0869697A2 (en) * 1997-04-03 1998-10-07 Lucent Technologies Inc. A steerable and variable first-order differential microphone array
CN2303418Y (en) * 1997-07-25 1999-01-06 程滋颐 Low distortion and low noise mouth-piece
CN201585004U (en) * 2009-12-28 2010-09-15 深圳华为通信技术有限公司 Shell applied in mobile phone and mobile phone
CN102185992A (en) * 2011-04-08 2011-09-14 罗迒哉 Bidirectional active denoising device for mobile phone
CN102811267A (en) * 2012-07-27 2012-12-05 瑞声声学科技(深圳)有限公司 Near-end voice interference elimination system and mobile communication terminal
CN103916501A (en) * 2013-01-09 2014-07-09 联想(北京)有限公司 Denoising method and handheld mobile terminal
US20140270245A1 (en) * 2013-03-15 2014-09-18 Mh Acoustics, Llc Polyhedral audio system based on at least second-order eigenbeams

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0625864A1 (en) * 1993-05-18 1994-11-23 Nec Corporation Differential microphone on a portable radio telephone
EP0869697A2 (en) * 1997-04-03 1998-10-07 Lucent Technologies Inc. A steerable and variable first-order differential microphone array
CN2303418Y (en) * 1997-07-25 1999-01-06 程滋颐 Low distortion and low noise mouth-piece
CN201585004U (en) * 2009-12-28 2010-09-15 深圳华为通信技术有限公司 Shell applied in mobile phone and mobile phone
CN102185992A (en) * 2011-04-08 2011-09-14 罗迒哉 Bidirectional active denoising device for mobile phone
CN102811267A (en) * 2012-07-27 2012-12-05 瑞声声学科技(深圳)有限公司 Near-end voice interference elimination system and mobile communication terminal
CN103916501A (en) * 2013-01-09 2014-07-09 联想(北京)有限公司 Denoising method and handheld mobile terminal
US20140270245A1 (en) * 2013-03-15 2014-09-18 Mh Acoustics, Llc Polyhedral audio system based on at least second-order eigenbeams

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张晓宁: "基于小波变换的语音信号去噪算法研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *
许山川: "基于小波变换的语音信号去噪研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105162998A (en) * 2015-08-24 2015-12-16 小米科技有限责任公司 Denoising method and denoising devices for dual tone multi frequency signal
CN105162998B (en) * 2015-08-24 2018-07-06 小米科技有限责任公司 The denoising method and device of touch-tone signal
CN108919065A (en) * 2018-05-16 2018-11-30 国网浙江省电力有限公司电力科学研究院 GIS ultrahigh frequency partial discharge monitoring management system
CN113421566A (en) * 2021-08-20 2021-09-21 航天科工通信技术研究院有限责任公司 Portable voice noise reduction device based on wind noise
CN113421566B (en) * 2021-08-20 2021-11-12 航天科工通信技术研究院有限责任公司 Portable voice noise reduction device based on wind noise

Similar Documents

Publication Publication Date Title
CN103873977B (en) Recording system and its implementation based on multi-microphone array beam forming
CN105078505B (en) Physiological single processing method and processing unit
CN104361893A (en) Mobile phone noise reduction device and noise reduction method thereof
CN102903368A (en) Method and equipment for separating convoluted blind sources
CN105741305A (en) Method and system for filtering electromyographical interference based on stationary wavelet transformation
CN103984866A (en) Signal denoising method based on local mean value decomposition
CN103578466B (en) Based on the voice non-voice detection method of Fourier Transform of Fractional Order
CN103815910A (en) Guarding system, mattress, alarm system and sleep state recognizing method of guarding system
CN207070285U (en) Wireless headset and its control system based on ultrasonic wave
CN104149687A (en) Active noise reduction device suitable for car
CN104000584A (en) Weak signal acquisition circuit with high SNR (Signal to Noise Ratio)
CN103412329A (en) Method for improving seismic data resolution ratio
CN105825865B (en) Echo cancel method and system under noise circumstance
CN105281707A (en) Dynamic reconstructible filter set low-complexity realization method
CN101587712B (en) Directional speech enhancement method based on small microphone array
CN106788471B (en) A sound spectrum control system and method for noise environment test
CN104902419A (en) Frequency shift compression method suitable for digital hearing aid
CN107426391B (en) Hand-free call terminal and its audio signal processing method, device
CN111921062A (en) Sound wave intervention memory enhancement system based on portable EEG equipment
US9113780B2 (en) Device and method for detecting occurrence of wheeze
CN102006534B (en) Directivity Optimization Method of Loudspeaker Array
CN106782588A (en) A kind of millimeter wave bioradar sound enhancement method based on sense of hearing wavelet packet
CN105232038A (en) Brain wave analysis method and apparatus based on intelligent headset
CN108205127B (en) Underwater acoustic signal processing method based on sparse representation
TW200704162A (en) Image enhancement system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
EXSB Decision made by sipo to initiate substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20150218