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CN113421541B - Frequency domain active noise control system based on coefficient smoothing - Google Patents

Frequency domain active noise control system based on coefficient smoothing Download PDF

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CN113421541B
CN113421541B CN202110964906.5A CN202110964906A CN113421541B CN 113421541 B CN113421541 B CN 113421541B CN 202110964906 A CN202110964906 A CN 202110964906A CN 113421541 B CN113421541 B CN 113421541B
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coefficient
control filter
end control
module
fourier transform
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CN113421541A (en
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陈锴
刘晓峻
狄敏
姚志强
陆章其
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Jiangsu Province Nanjing University Of Science And Technology Electronic Information Technology Co ltd
Ma'anshan Aidesheng Electronic Technology Co ltd
Nanjing Nanda Electronic Wisdom Service Robot Research Institute Co ltd
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Jiangsu Province Nanjing University Of Science And Technology Electronic Information Technology Co ltd
Nanjing Minjia Data Technology Co ltd
Nanjing Nanda Electronic Wisdom Service Robot Research Institute Co ltd
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1781Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
    • G10K11/17813Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the acoustic paths, e.g. estimating, calibrating or testing of transfer functions or cross-terms
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1785Methods, e.g. algorithms; Devices
    • G10K11/17853Methods, e.g. algorithms; Devices of the filter
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10KSOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1785Methods, e.g. algorithms; Devices
    • G10K11/17853Methods, e.g. algorithms; Devices of the filter
    • G10K11/17854Methods, e.g. algorithms; Devices of the filter the filter being an adaptive filter

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  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
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Abstract

The invention discloses a frequency domain active noise control system based on coefficient smoothing, which comprises a rear-end control filter, a coefficient smoother and a front-end control filter which are sequentially connected, wherein the coefficient smoother smoothes the time domain coefficient of the front-end control filter according to the obtained time domain coefficient of the rear-end control filter, updates the front-end control filter, limits system noise caused by overlarge coefficient change and further improves the stability and the effectiveness of the active noise control system. The invention solves the noise problem of the active noise control system using the frequency domain algorithm.

Description

Frequency domain active noise control system based on coefficient smoothing
Technical Field
The invention relates to a frequency domain active noise control system with smooth coefficient, belonging to the technical field of noise control.
Background
In recent years, as the demand for the ambient acoustic environment is increasing, the active noise control is receiving more and more attention. Active noise control is a technique for canceling actual noise using a reverse sound wave. Compared with the traditional passive noise control, the active noise control is more effective to the low-frequency noise which is difficult to control, and has the characteristics of small volume, flexible configuration and the like, so that the active noise control has wider application prospect. Compared with the traditional active noise control method, the frequency domain active noise control has higher operation efficiency, so the frequency domain active noise control is an important implementation method of an active noise control system, but the frequency domain active noise control processes signals in real time by taking a data frame as a unit, when the data frame is larger, the processing result between the frame and the frame has larger difference, which causes the discontinuity of the signals, thereby generating abnormal sound, even affecting the stability of the active noise control system, and the problem seriously restricts the application and popularization of the frequency domain active noise control.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides a frequency domain active noise control system based on coefficient smoothing, which comprises a front-end control filter, a rear-end control filter and a coefficient smoother, wherein the coefficient smoother is used for smoothing the coefficient in the rear-end control filter of the frequency domain active noise control system and updating the front-end control filter, so that system noise caused by overlarge coefficient change is limited, and the stability and the effectiveness of the active noise control system are further improved.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that:
the utility model provides a frequency domain active noise control system based on coefficient smoothing, includes rear end control filter, coefficient smoother, front end control filter that connect gradually, wherein:
the back-end control filter is used for filtering the first half section coefficient of the frequency domain active noise control system to obtain the time domain coefficient of the back-end control filter. And updating the back-end control filter by adopting a least mean square method according to the obtained time domain coefficient of the back-end control filter.
And the coefficient smoother smoothes the time domain coefficient of the front-end control filter according to the obtained time domain coefficient of the rear-end control filter and updates the front-end control filter.
The front-end control filter is used for controlling the filter to reference signals according to the updated front-end control filter
Figure 228739DEST_PATH_IMAGE001
And filtering to obtain a filtered reference signal. And sending the filtered reference signal to an acoustic path of a frequency domain active noise control system to obtain a control signal.
Preferably: the coefficient smoother smoothes the front-end control filter time domain coefficients by:
Figure 964613DEST_PATH_IMAGE002
wherein,
Figure 632355DEST_PATH_IMAGE003
is a sequence of frames of data frames,
Figure 504496DEST_PATH_IMAGE004
is that the front-end controls the filter at
Figure 232281DEST_PATH_IMAGE003
First of frame
Figure DEST_PATH_IMAGE005
The order time-domain coefficients are then processed,
Figure 924293DEST_PATH_IMAGE006
is that the back-end control filter is in
Figure 130147DEST_PATH_IMAGE003
First of frame
Figure 119444DEST_PATH_IMAGE005
The order time-domain coefficients are then processed,
Figure 18130DEST_PATH_IMAGE007
is an operation of taking a real number symbol,
Figure 463018DEST_PATH_IMAGE008
is the operation of taking the minimum value,
Figure 472562DEST_PATH_IMAGE009
is an operation on the absolute value of the value,
Figure 584874DEST_PATH_IMAGE010
is the factor of the smoothing factor that is,
Figure 123303DEST_PATH_IMAGE011
is to update the upper threshold.
Preferably: the smoothing factor
Figure 321066DEST_PATH_IMAGE010
The value range of (A):
Figure 134301DEST_PATH_IMAGE012
preferably: the updated upper threshold
Figure 101120DEST_PATH_IMAGE011
The value range of (A):
Figure 76030DEST_PATH_IMAGE013
in a coefficient smoother, a smoothing factor
Figure 495510DEST_PATH_IMAGE010
And updating the upper threshold
Figure 846857DEST_PATH_IMAGE011
The value of (a) plays a key role, specifically:
1. smoothing factor
Figure 668182DEST_PATH_IMAGE010
The value of (A) determines the smoothing speed and the smoothing factor of the system
Figure 79572DEST_PATH_IMAGE010
Take values greater than 0 but much less than 1. If the smoothing factor
Figure 986348DEST_PATH_IMAGE010
If the value is too large, the smoothing speed is too fast, so that the noise suppression capability of the system caused by blocking effect is weakened, and the processing effect is affected. If the smoothing factor
Figure 141386DEST_PATH_IMAGE010
Too small, the smoothing speed is too slow, which makes the system update the sound field transfer function slower. Therefore, in practical applications, it is generally necessary to determine a smoothing factor according to the acoustic environment
Figure 831866DEST_PATH_IMAGE010
The value of (A) is as follows: when the time-varying characteristics of the acoustic environment are weak and the requirement for sound field tracking of the system is low, a smaller smoothing factor may be used
Figure 414157DEST_PATH_IMAGE010
. When the time-varying characteristic of the acoustic environment is strong and the requirement on the sound field tracking of the system is high, a large smoothing factor is used
Figure 808230DEST_PATH_IMAGE010
2. Updating the upper threshold
Figure 501379DEST_PATH_IMAGE011
The maximum variation allowed by the front-end control filter and the back-end control filter on each order of coefficient is limited by the value of (A), and the upper limit threshold value is updated
Figure 297297DEST_PATH_IMAGE011
Typically to a smaller positive number. If it is
Figure 50489DEST_PATH_IMAGE011
If the threshold value is too large, the threshold value fails for a long time, so that the noise capability of the system for suppressing the blocking effect is weakened, and the processing effect is influenced. If it is
Figure 931857DEST_PATH_IMAGE011
If too small, the front-end control filter updates converge, resulting in a system that is too smallThe speed of the uniformly updated sound field transfer function is slow. In practical applications, it is generally necessary to determine the updated upper threshold according to the acoustic environment
Figure 163119DEST_PATH_IMAGE011
The value of (A) is as follows: when the time-varying characteristics of the acoustic environment are weak and the requirement for tracking the sound field of the system is low, the smaller one can be used
Figure 547964DEST_PATH_IMAGE011
. When the time-varying characteristic of the acoustic environment is stronger and the requirement on the sound field tracking of the system is higher, the larger one is used
Figure 472057DEST_PATH_IMAGE011
Compared with the prior art, the invention has the following beneficial effects:
the invention can overcome the problem of large coefficient change in a system using a frequency domain active noise control algorithm, thereby inhibiting system noise caused by the problem and further improving the stability and effectiveness of an active noise control system. The smoothing method can solve the noise problem of the active noise control system using the frequency domain algorithm, and has wide application prospect.
Drawings
Fig. 1 is a block diagram of a coefficient smoothed frequency domain active noise control system.
Fig. 2 is a flow chart of a coefficient smoothed frequency domain active noise control system.
Detailed Description
The present invention is further illustrated by the following description in conjunction with the accompanying drawings and the specific embodiments, it is to be understood that these examples are given solely for the purpose of illustration and are not intended as a definition of the limits of the invention, since various equivalent modifications will occur to those skilled in the art upon reading the present invention and fall within the limits of the appended claims.
A frequency domain active noise control system based on coefficient smoothing is realized based on a Digital Signal Processor (Digital Signal Processor), a control source is a common loudspeaker, an error Signal and a reference Signal are respectively from an error microphone and a reference microphone, and an adaptive filter adopts a traditional frequency-domain least mean square (FDLMS) algorithm. The sampling rate of the system is set to 16 kHz, the frame length and frame shift of the system are set to 512 and 256, respectively, and the length of the control filter is set to 256. As shown in fig. 1, the apparatus includes a reference signal input module, an error signal output module, a back-end control filter, a coefficient smoother, a front-end control filter, a primary path, an acoustic path, a adding operation module, a first fast fourier transform module, a fourier transform module of the acoustic path, a conjugate operation module, a multiplication module, a step-size multiplication module, a second fast fourier transform module, and a fast inverse fourier transform module, wherein: the reference signal input module is respectively connected with the primary path, the first fast Fourier transform module and the front-end control filter, the adding operation module is respectively connected with the primary path, the acoustic path, the error signal output module and the second fast Fourier transform module, the multiplying module is respectively connected with the conjugate operation module, the step length multiplying module and the second fast Fourier transform module, the first fast Fourier transform module, the Fourier transform module and the conjugate operation module of the acoustic path are sequentially connected, the step length multiplying module, the fast inverse Fourier transform module, the rear-end control filter, the coefficient smoother and the front-end control filter are connected, and the front-end control filter is connected with the acoustic path, wherein:
the back-end control filter is used for filtering the first half section coefficient of the frequency domain active noise control system to obtain the time domain coefficient of the back-end control filter. And updating the back-end control filter by adopting a least mean square method according to the obtained time domain coefficient of the back-end control filter.
The coefficient smoother is used for smoothing the time domain coefficient of the front-end control filter according to the obtained time domain coefficient of the rear-end control filter, meanwhile, the front-end control filter is updated, system noise caused by overlarge coefficient change is limited, and therefore stability and effectiveness of the active noise control system are improved.
And the coefficient smoother sets an upper threshold of the updating amount, and when the absolute value of the current obtained filter coefficient variation exceeds the upper threshold of the updating amount, the time domain coefficient of the filter is limited to be updated and controlled.
The front-end control filter is used for controlling the filter to reference signals according to the updated front-end control filter
Figure 840722DEST_PATH_IMAGE001
And filtering to obtain a filtered reference signal. And sending the filtered reference signal to an acoustic path of a frequency domain active noise control system to obtain a control signal.
The coefficient smoother smoothes the front-end control filter time domain coefficients by:
Figure 875674DEST_PATH_IMAGE014
wherein,
Figure 380604DEST_PATH_IMAGE003
is a sequence of frames of data frames,
Figure 475599DEST_PATH_IMAGE004
is that the front-end controls the filter at
Figure 331560DEST_PATH_IMAGE003
First of frame
Figure 901694DEST_PATH_IMAGE005
The order time-domain coefficients are then processed,
Figure 526710DEST_PATH_IMAGE006
is that the back-end control filter is in
Figure 792607DEST_PATH_IMAGE003
First of frame
Figure 135863DEST_PATH_IMAGE005
The order time-domain coefficients are then processed,
Figure 778197DEST_PATH_IMAGE007
is an operation of taking a real number symbol,
Figure 257720DEST_PATH_IMAGE008
is the operation of taking the minimum value,
Figure 694518DEST_PATH_IMAGE009
is an operation on the absolute value of the value,
Figure 259491DEST_PATH_IMAGE010
is a smoothing factor, a smoothing factor
Figure 174358DEST_PATH_IMAGE010
The value range of (A):
Figure 773966DEST_PATH_IMAGE012
Figure 381665DEST_PATH_IMAGE011
is to update the upper threshold.
A frequency domain active noise control method based on coefficient smoothing, as shown in fig. 1 and 2, includes the following steps:
step 1, initializing system parameters: the time domain coefficient of the front-end control filter is initialized to 0, the time domain coefficient of the back-end control filter is initialized to 0, and the smoothing factor
Figure 433935DEST_PATH_IMAGE010
Set to 0.1, update the upper threshold
Figure 886913DEST_PATH_IMAGE011
Set to 0.01.
Step 2, acquiring a reference signal in real time through a reference signal input module
Figure 341028DEST_PATH_IMAGE001
Given an initial error signal
Figure 385207DEST_PATH_IMAGE015
Step 3, referenceSignal
Figure 924773DEST_PATH_IMAGE001
After the primary path is the actual noise signal
Figure 447021DEST_PATH_IMAGE016
Step 4, reference signal
Figure 492993DEST_PATH_IMAGE001
Obtaining a frequency domain reference signal through a first fast Fourier transform module
Figure 708074DEST_PATH_IMAGE017
Frequency domain reference signal
Figure 469357DEST_PATH_IMAGE017
And obtaining a filtered conjugate frequency domain reference signal through a Fourier transform module and a conjugate operation module of the acoustic path.
Step 5, noise signal
Figure 795296DEST_PATH_IMAGE016
And obtaining a frequency domain error signal through a second fast Fourier transform module.
And 6, obtaining a filtered conjugate frequency domain reference signal by the frequency domain error signal and conjugate operation module, and obtaining the frequency domain transient gradient of the control filter by the multiplication module.
And 7, multiplying the frequency domain transient gradient of the control filter by the step length, performing fast inverse Fourier transform, and extracting parameters of the first half section of the signal after the fast inverse Fourier transform to obtain the time domain coefficient of the rear-end control filter.
And 8, updating the back-end control filter in a frequency domain by adopting a least mean square method according to the obtained time domain coefficient of the back-end control filter.
Step 9, the coefficient smoother smoothes the time domain coefficient of the back-end control filter and updates the front-end control filter according to the following formula:
Figure 958424DEST_PATH_IMAGE018
wherein,
Figure 78827DEST_PATH_IMAGE003
is a sequence of frames of data frames,
Figure 592984DEST_PATH_IMAGE004
is that the front-end controls the filter at
Figure 457035DEST_PATH_IMAGE003
First of frame
Figure 474670DEST_PATH_IMAGE005
The order time-domain coefficients are then processed,
Figure 31553DEST_PATH_IMAGE006
is that the back-end control filter is in
Figure 767428DEST_PATH_IMAGE003
First of frame
Figure 169590DEST_PATH_IMAGE005
The order time-domain coefficients are then processed,
Figure 307311DEST_PATH_IMAGE007
is an operation of taking a real number symbol,
Figure 35095DEST_PATH_IMAGE008
is the operation of taking the minimum value,
Figure 992687DEST_PATH_IMAGE009
is an operation on the absolute value of the value,
Figure 464120DEST_PATH_IMAGE010
is a smoothing factor, a smoothing factor
Figure 453417DEST_PATH_IMAGE010
The value range of (A):
Figure 86523DEST_PATH_IMAGE012
Figure 796990DEST_PATH_IMAGE011
is to update the upper threshold.
As shown in fig. 1, the time domain coefficient of the back-end control filter of the back-end controller is updated through the extracted first half section coefficient, so as to obtain an updated back-end control filter; and smoothing the time domain coefficient of the updated rear-end control filter, and updating the time domain coefficient of the front-end control filter by using the smoothed time domain coefficient of the rear-end control filter to obtain the updated front-end control filter.
Step 10, reference signal
Figure 806535DEST_PATH_IMAGE001
And entering the updated front-end control filter to obtain a secondary source output signal. The obtained secondary source output signal passes through an acoustic path to obtain a control signal, the control signal and a noise signal
Figure 653268DEST_PATH_IMAGE016
Adding to obtain an error signal
Figure 722855DEST_PATH_IMAGE015
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.

Claims (4)

1. A frequency domain active noise control system based on coefficient smoothing, characterized by: the device comprises a reference signal input module, an error signal output module, a rear-end control filter, a coefficient smoother, a front-end control filter, a primary path, an acoustic path, an adding operation module, a first fast Fourier transform module, a Fourier transform module of the acoustic path, a conjugate operation module, a multiplication module, a step length multiplication module, a second fast Fourier transform module and a fast inverse Fourier transform module, wherein: the reference signal input module is respectively connected with a primary path, a first fast Fourier transform module and a front-end control filter, the adding operation module is respectively connected with the primary path, an acoustic path, an error signal output module and a second fast Fourier transform module, the multiplying module is respectively connected with a conjugate operation module, a step length multiplying module and a second fast Fourier transform module, the first fast Fourier transform module, the Fourier transform module and the conjugate operation module of the acoustic path are sequentially connected, the step length multiplying module, the fast inverse Fourier transform module, a rear-end control filter, a coefficient smoother and a front-end control filter are connected, the front-end control filter is connected with the acoustic path, and the front-half section coefficient of a signal after Fourier transform is performed through the Fourier transform module of the acoustic path is extracted, wherein:
the back end control filter is used for filtering the front half section coefficient to obtain a back end control filter time domain coefficient; updating the back-end control filter by adopting a least mean square method according to the obtained time domain coefficient of the back-end control filter;
the coefficient smoother smoothes the time domain coefficient of the front-end control filter according to the obtained time domain coefficient of the rear-end control filter, and updates the front-end control filter;
the coefficient smoother smoothes the front-end control filter time domain coefficients by:
Figure 472041DEST_PATH_IMAGE002
wherein,
Figure 771435DEST_PATH_IMAGE004
is a sequence of frames of data frames,
Figure 76514DEST_PATH_IMAGE006
is that the front-end controls the filter at
Figure 410544DEST_PATH_IMAGE004
First of frame
Figure 378762DEST_PATH_IMAGE008
The order time-domain coefficients are then processed,
Figure DEST_PATH_IMAGE010
is that the back-end control filter is in
Figure 758928DEST_PATH_IMAGE004
First of frame
Figure 602119DEST_PATH_IMAGE008
The order time-domain coefficients are then processed,
Figure DEST_PATH_IMAGE012
is an operation of taking a real number symbol,
Figure DEST_PATH_IMAGE014
is the operation of taking the minimum value,
Figure DEST_PATH_IMAGE016
is an operation on the absolute value of the value,
Figure DEST_PATH_IMAGE018
is the factor of the smoothing factor that is,
Figure DEST_PATH_IMAGE020
is the update upper threshold;
the front-end control filter is used for controlling the filter to reference signals according to the updated front-end control filter
Figure DEST_PATH_IMAGE022
Filtering to obtain a filtered reference signal; and sending the filtered reference signal to an acoustic path of a frequency domain active noise control system to obtain a control signal.
2. The frequency domain active noise control system based on coefficient smoothing of claim 1, wherein: the smoothing factor
Figure DEST_PATH_IMAGE023
The value range of (A):
Figure DEST_PATH_IMAGE024
3. the frequency-domain active noise control system based on coefficient smoothing of claim 2, wherein: the updated upper threshold
Figure DEST_PATH_IMAGE025
The value range of (A):
Figure DEST_PATH_IMAGE026
4. the frequency domain active noise control system based on coefficient smoothing of claim 3, wherein: determining an updated upper threshold based on acoustic environment
Figure 14822DEST_PATH_IMAGE025
The value of (a).
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JPH06230786A (en) * 1993-01-29 1994-08-19 Haruo Hamada Active noise controller
CN101393736A (en) * 2008-10-28 2009-03-25 南京大学 Active Noise Control Method Without Secondary Channel Modeling
CN101473370A (en) * 2006-06-26 2009-07-01 伯斯有限公司 Active noise reduction adaptive filter leakage adjusting
CN102187387A (en) * 2008-10-20 2011-09-14 伯斯有限公司 Adjusting leakage factors of an active noise reduction filter
CN105321524A (en) * 2015-09-29 2016-02-10 深圳东方酷音信息技术有限公司 Digital feed-forward adaptive hybrid active noise control method and device
CN105741828A (en) * 2016-01-29 2016-07-06 南京大学 Separable active noise control system
CN106796783A (en) * 2015-07-09 2017-05-31 松下知识产权经营株式会社 Active type noise reduction apparatus
CN109741727A (en) * 2019-01-07 2019-05-10 哈尔滨工业大学(深圳) Active noise reduction earphone, noise reduction method and storage medium based on active noise control algorithm
CN113194378A (en) * 2021-06-30 2021-07-30 深圳市汇顶科技股份有限公司 Noise reduction method for audio signal, audio signal processing device and electronic equipment

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0492680A2 (en) * 1990-12-03 1992-07-01 General Motors Corporation Method and apparatus for attenuating noise
JPH06230786A (en) * 1993-01-29 1994-08-19 Haruo Hamada Active noise controller
CN101473370A (en) * 2006-06-26 2009-07-01 伯斯有限公司 Active noise reduction adaptive filter leakage adjusting
CN102187387A (en) * 2008-10-20 2011-09-14 伯斯有限公司 Adjusting leakage factors of an active noise reduction filter
CN101393736A (en) * 2008-10-28 2009-03-25 南京大学 Active Noise Control Method Without Secondary Channel Modeling
CN106796783A (en) * 2015-07-09 2017-05-31 松下知识产权经营株式会社 Active type noise reduction apparatus
CN105321524A (en) * 2015-09-29 2016-02-10 深圳东方酷音信息技术有限公司 Digital feed-forward adaptive hybrid active noise control method and device
CN105741828A (en) * 2016-01-29 2016-07-06 南京大学 Separable active noise control system
CN109741727A (en) * 2019-01-07 2019-05-10 哈尔滨工业大学(深圳) Active noise reduction earphone, noise reduction method and storage medium based on active noise control algorithm
CN113194378A (en) * 2021-06-30 2021-07-30 深圳市汇顶科技股份有限公司 Noise reduction method for audio signal, audio signal processing device and electronic equipment

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