CN112562629A - Device and method for reducing wind noise of automobile air conditioner pipeline - Google Patents

Device and method for reducing wind noise of automobile air conditioner pipeline Download PDF

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CN112562629A
CN112562629A CN202011435644.5A CN202011435644A CN112562629A CN 112562629 A CN112562629 A CN 112562629A CN 202011435644 A CN202011435644 A CN 202011435644A CN 112562629 A CN112562629 A CN 112562629A
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noise
module
automobile air
microphone array
conditioning pipeline
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李红元
孙朋和
张童鑫
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Bestar Holding Co ltd
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Nanjing Handeli Intelligent Technology 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
    • G10K11/17821Methods 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 input signals only
    • G10K11/17823Reference signals, e.g. ambient acoustic environment
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F13/00Details common to, or for air-conditioning, air-humidification, ventilation or use of air currents for screening
    • F24F13/24Means for preventing or suppressing noise
    • 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
    • G10K11/17821Methods 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 input signals only
    • G10K11/17825Error signals
    • 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
    • G10K11/17861Methods, e.g. algorithms; Devices using additional means for damping sound, e.g. using sound absorbing panels

Abstract

The invention relates to and discloses a device and a method for reducing the noise of an automobile air conditioner pipeline, wherein the device comprises a reference signal acquisition unit, an error signal acquisition unit, a main control unit and an audio signal output unit, wherein the reference signal acquisition unit comprises a reference microphone array acquisition module, the error signal acquisition unit comprises an error microphone array acquisition module, the main control unit comprises a DSP (digital signal processor) system, a memory and necessary peripheral systems, and the audio signal output unit comprises 1 loudspeaker module; the device and the method for reducing the wind noise of the automobile air-conditioning pipeline effectively overcome various defects in the prior art and have high industrial utilization value.

Description

Device and method for reducing wind noise of automobile air conditioner pipeline
Technical Field
The invention relates to the technical field of wind noise reduction of automobile air conditioner pipelines, in particular to a device and a method for wind noise reduction of an automobile air conditioner pipeline.
Background
With the great increase of living standard of people, automobiles become daily tools for riding instead of walk for many people, the number of automobile families is more and more, and people not only need to ride instead of walk with automobiles, but also pursue the dynamic property and comfort of riding. For the comfort of the automobile, the problem of noise in the automobile becomes the focus of attention of consumers, besides engine noise and tire noise, the noise of the air conditioner of the automobile is one of the main noise sources in the automobile, especially, the noise of the air conditioner system is prominent because the new energy automobile has no background noise generated by the traditional engine.
According to different noise generation mechanisms, the noise of the automobile air conditioner can be divided into: mechanical noise, fluid noise, electromagnetic noise. The present document deals with fluid noises that are mainly applied to automotive air conditioning noises.
At present, the main methods for noise reduction of a common household automobile air conditioning system are as follows: the sound-absorbing material is used for wrapping the air-conditioning pipeline so as to achieve the purpose of reducing noise; the purpose of noise reduction is achieved by optimizing the pipeline structure and reducing vibration. The methods belong to passive noise reduction, noise reduction needs to be carried out on a noise source, and although the methods have good effect on high-frequency noise, the methods have almost no effect on medium-low frequency noise.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides the following technical scheme: a device for reducing the wind noise of an automobile air-conditioning pipeline comprises a reference signal acquisition unit, an error signal acquisition unit, a main control unit and an audio signal output unit, and is characterized in that the reference signal acquisition unit comprises a reference microphone array acquisition module, the error signal acquisition unit comprises an error microphone acquisition array set module, the main control unit comprises a DSP processor system, a memory and necessary peripheral systems, the audio signal output unit comprises 1 loudspeaker module, the reference microphone array acquisition module is arranged at an air inlet of the automobile air-conditioning pipeline, a sound absorption ball is arranged on a microphone, the noise signal of the air inlet of the automobile air-conditioning pipeline is mainly acquired and then transmitted to the DSP processor system, the error microphone acquisition array module is arranged at an air outlet of the automobile air-conditioning pipeline, and a sound absorption ball is arranged on a microphone, and is mainly used for collecting a noise signal of an air outlet of an automobile air-conditioning pipeline and transmitting the noise signal to the DSP processor system, the DSP processor system is arranged at the axial midpoint of the automobile air-conditioning pipeline, is mainly used for processing the noise signals transmitted by the reference microphone array collection module and the error microphone array collection module and outputting the processed noise signals to the loudspeaker module for audio output, and the loudspeaker module is arranged under the main control unit and is mainly used for audio output of the processed signals.
A method for reducing the noise of wind noise of an automobile air conditioner pipeline comprises the following steps:
step one, establishing a model;
step two, numerical analysis;
and step three, optimizing parameters.
Preferably, the model building means that a curve form of the wind noise of the automobile air conditioner pipeline is simulated in an audio curve synthesis mode, and the model is as follows:
Figure RE-GDA0002940542550000021
wherein:
k is a discrete independent variable;
f (k) is a discrete dependent variable;
f is the frequency, in the range of [100,1000] Hz;
psi is the phase, in the range [0,2 π ];
n is the number of frequency points,
if the frequency resolution is 1Hz, n is 900; if the frequency resolution is 2Hz, n is 450, the calculation amount is reduced once recursion along with the increase of the resolution, and the frequency point number can be adjusted according to the actual situation according to the noise reduction condition and the system frequency.
Preferably, the numerical analysis is to perform discrete fourier transform on data collected by the reference microphone array module and the error microphone array module by using discrete fourier transform to obtain an amplitude value and a phase value corresponding to each frequency with the same resolution as the formula 1, and then obtain the following values:
f1:A1and
Figure RE-GDA0002940542550000031
fn:Anand
Figure RE-GDA0002940542550000032
preferably, the parameter optimization refers to adjusting the adjusting parameters in the model by referring to the data collected by the microphone array module and the error microphone array module, so that the model approaches to the form of the wind noise curve of the automobile air-conditioning pipeline from a random noise curve, and the adjusting parameters comprise the adjusting parameters in the formula
Figure RE-GDA0002940542550000033
And
Figure RE-GDA0002940542550000034
the optimization criteria were chosen as follows:
Figure RE-GDA0002940542550000035
wherein:
n is the length of data acquired each time;
e (k) discrete data collected by the error microphone array module;
y (k) is discrete data collected by the reference microphone array module;
(2) the equation reduces to a vector form as follows:
Figure RE-GDA0002940542550000041
the parameters can be matched according to formula 3
Figure RE-GDA0002940542550000042
And
Figure RE-GDA0002940542550000043
and (6) adjusting.
Compared with the prior art, the invention has the following beneficial effects: the invention effectively overcomes various defects in the prior art and has high industrial utilization value by acquiring and processing the noise signal of the automobile air conditioner pipeline, optimizing the model parameter and synthesizing the offset noise which is opposite to the original noise to achieve the purpose of actively reducing the noise of the pipeline.
Drawings
FIG. 1 is a schematic view of the installation of the components of the present invention;
FIG. 2 is a block diagram of an embodiment of the present invention;
FIG. 3 is a flow chart of processor software according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, a device for reducing noise of a duct of an automotive air conditioner comprises a reference signal collecting unit, an error signal collecting unit, a main control unit and an audio signal output unit, wherein the reference signal collecting unit comprises a reference microphone array collecting module, the error signal collecting unit comprises an error microphone array collecting module, the main control unit comprises a DSP processor system, a memory and necessary peripheral systems, the audio signal output unit comprises 1 speaker module, the reference microphone array collecting module is arranged at an air inlet of the duct of the automotive air conditioner, a sound absorbing ball is arranged on a microphone, and mainly collects a noise signal at the air inlet of the duct of the automotive air conditioner and then transmits the noise signal to the DSP processor system, the error microphone array collecting module is arranged at an air outlet of the duct of the automotive air conditioner, and a sound absorption ball is arranged on a microphone, and is mainly used for collecting a noise signal of an air outlet of an automobile air-conditioning pipeline and transmitting the noise signal to the DSP processor system, the DSP processor system is arranged at the axial midpoint of the automobile air-conditioning pipeline, is mainly used for processing the noise signals transmitted by the reference microphone array collection module and the error microphone array collection module and outputting the processed noise signals to the loudspeaker module for audio output, and the loudspeaker module is arranged under the main control unit and is mainly used for audio output of the processed signals.
A method for reducing the noise of wind noise of an automobile air conditioner pipeline comprises the following steps:
step one, establishing a model;
step two, numerical analysis;
and step three, optimizing parameters.
Preferably, the model building means that a curve form of the wind noise of the automobile air conditioner pipeline is simulated in an audio curve synthesis mode, and the model is as follows:
Figure DA00028280162544454453
wherein:
k is a discrete independent variable;
f (k) is a discrete dependent variable;
f is the frequency, in the range of [100,1000] Hz;
psi is the phase, in the range [0,2 π ];
n is the number of frequency points,
if the frequency resolution is 1Hz, n is 900; if the frequency resolution is 2Hz, n is 450, the calculation amount is reduced once recursion along with the increase of the resolution, and the frequency point number can be adjusted according to the actual situation according to the noise reduction condition and the system frequency.
Preferably, the numerical analysis is to perform discrete fourier transform on data collected by the reference microphone array module and the error microphone array module by using discrete fourier transform to obtain an amplitude value and a phase value corresponding to each frequency with the same resolution as the formula 1, and then obtain the following values:
f1:A1and
Figure RE-GDA0002940542550000061
fn:Anand
Figure RE-GDA0002940542550000062
preferably, the parameter optimization refers to adjusting the adjusting parameters in the model by referring to the data collected by the microphone array module and the error microphone array module, so that the model approaches to the form of the wind noise curve of the automobile air-conditioning pipeline from a random noise curve, and the adjusting parameters comprise the adjusting parameters in the formula
Figure RE-GDA0002940542550000063
And
Figure RE-GDA0002940542550000064
the optimization criteria were chosen as follows:
Figure DA00028280162544473828
wherein:
n is the length of data acquired each time;
e (k) discrete data collected by the error microphone array module;
y (k) is discrete data collected by the reference microphone array module;
(2) the equation reduces to a vector form as follows:
Figure DA00028280162544491109
the parameters can be matched according to formula 3
Figure RE-GDA0002940542550000072
And
Figure RE-GDA0002940542550000073
and (6) adjusting.
It should be noted that, with the rising of people's life, automobiles have become daily tools for riding instead of walk for many people, and the number of people in a family is increasing, and people's requirements for automobiles are not only to ride instead of walk with automobiles, but also pursue the dynamic property and comfort of riding. For the comfort of the automobile, the problem of noise in the automobile becomes the focus of attention of consumers, besides engine noise and tire noise, the noise of the air conditioner of the automobile is one of the main noise sources in the automobile, especially, the noise of the air conditioner system is prominent because the new energy automobile has no background noise generated by the traditional engine. Therefore, the scheme provides a device and a method for reducing the wind noise of the automobile air conditioner pipeline.
Fig. 1 is a schematic diagram of the installation of the components of the device in the scheme.
Wherein 1 is a reference microphone base 1,2 is a reference microphone 1,3 is a reference microphone base 2, 4 is a reference microphone 2, 5 is an air inlet, 6 is a pipeline section a, 7 is a main control unit and a loudspeaker base, 8 is a main control unit, 9 is a loudspeaker, 10 is a pipeline section B, 11 is an error microphone base 1,12 is an error microphone 1,13 is an error microphone base 2, 14 is an error microphone 2,15 is an air outlet.
Fig. 2 is a block diagram of the present embodiment.
S01 parameter is assigned initial value, and adjustable parameter is given after system initialization
Figure RE-GDA0002940542550000074
And
Figure RE-GDA0002940542550000075
assign an initial value, default
Figure RE-GDA0002940542550000076
The value of 1 is given to the sample,
Figure RE-GDA0002940542550000077
assigning a value of 0;
s02, collecting a reference signal and an error signal, collecting a noise signal in an automobile air conditioning pipeline through a reference microphone and an error microphone, and transmitting the collected digital signal to a processor;
s03, FFT conversion is carried out on the reference signal data and the error signal data, and time domain to frequency domain conversion is carried out on two pairs of digital signals by utilizing fast Fourier transform;
s04, extracting the amplitude and phase values corresponding to the frequency points from the FFT result, and searching the amplitude and phase corresponding to the pre-allocated frequency points in the frequency domain for subsequent calculation.
S05 substituting the amplitude and phase into the optimization standard function to adjust the parameters, determining the noise reduction frequency points, and then using the amplitude and phase of each corresponding frequency point in the original noise together with the optimization standard function (formula 3) to adjust the model parameters
Figure RE-GDA0002940542550000081
And
Figure RE-GDA0002940542550000082
optimizing;
s06 synthesizing a noise canceling curve according to the adjustment parameters, and S05
Figure RE-GDA0002940542550000083
And
Figure RE-GDA0002940542550000084
the parameters are adjusted and optimized, and then the optimal parameters are obtained
Figure RE-GDA0002940542550000085
And
Figure RE-GDA0002940542550000086
synthesizing a cancellation curve by substituting formula 1;
s07 cancels the noise using the speaker module output, and the speaker module amplifies and outputs the curve synthesized in S05.
FIG. 3 is a processor software flow diagram, which is described below:
firstly, the device is powered on, and a system, a microphone module and a loudspeaker module are initialized;
secondly, the processor sends an acquisition command to the microphone module, the microphone module starts to acquire wind noise signals in the automobile air conditioning pipeline, and the acquired wind noise signals are directly sent to the processor;
then, the processor stores data in a stack form, the stored data is divided into reference data and error data, the first half of the data in the stack is abandoned, the second half of the data is used as the first half of the data, and the collected new data is filled into the second half of the data.
After the data is stored, the processor starts to read all data in the stack, the reference data is input into the reference data processing module, the error data is input into the error data processing module, the data processing module mainly has the functions of carrying out corresponding FFT (fast Fourier transform) on the input data and then extracting respective amplitude values
Figure RE-GDA0002940542550000087
Sum phase value
Figure RE-GDA0002940542550000088
Using equation 3 and the extracted amplitude in the FFT
Figure RE-GDA0002940542550000089
Sum phase value
Figure RE-GDA00029405425500000810
For the amplitude in equation 1
Figure RE-GDA00029405425500000811
Sum phase value
Figure RE-GDA00029405425500000812
Optimizing and adjusting, then substituting the optimal solution into formula 1 to adjust the model, and generating a synthetic curve.
And finally, outputting the offset noise by utilizing the synthetic curve and a loudspeaker module, and reducing the noise of the wind noise of the automobile air conditioner pipeline.
And circularly repeating the steps.
In summary, the device and method for reducing the wind noise of the automobile air-conditioning pipeline provided by the invention can be used for optimizing the model parameters by collecting and processing the noise signal of the automobile air-conditioning pipeline and synthesizing the offset noise in opposite phase to the original noise, so as to achieve the purpose of actively reducing the noise of the pipeline. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (5)

1. A device for reducing the wind noise of an automobile air-conditioning pipeline comprises a reference signal acquisition unit, an error signal acquisition unit, a main control unit and an audio signal output unit, and is characterized in that the reference signal acquisition unit comprises a reference microphone array acquisition module, the error signal acquisition unit comprises an error microphone acquisition array set module, the main control unit comprises a DSP processor system, a memory and necessary peripheral systems, the audio signal output unit comprises 1 loudspeaker module, the reference microphone array acquisition module is arranged at an air inlet of the automobile air-conditioning pipeline, a sound absorption ball is arranged on a microphone, the noise signal of the air inlet of the automobile air-conditioning pipeline is mainly acquired and then transmitted to the DSP processor system, the error microphone acquisition array module is arranged at an air outlet of the automobile air-conditioning pipeline, and a sound absorption ball is arranged on a microphone, and is mainly used for collecting a noise signal of an air outlet of an automobile air-conditioning pipeline and transmitting the noise signal to the DSP processor system, the DSP processor system is arranged at the axial midpoint of the automobile air-conditioning pipeline, is mainly used for processing the noise signals transmitted by the reference microphone array collection module and the error microphone array collection module and outputting the processed noise signals to the loudspeaker module for audio output, and the loudspeaker module is arranged under the main control unit and is mainly used for audio output of the processed signals.
2. The method for reducing the wind noise of the automobile air conditioning pipeline according to claim 1, wherein the method comprises the following steps: the method comprises the following steps:
step one, establishing a model;
step two, numerical analysis;
and step three, optimizing parameters.
3. The method for reducing the wind noise of the automobile air conditioning pipeline according to claim 2, characterized by comprising the following steps: the model establishment means that a curve form of the wind noise of the automobile air conditioner pipeline is simulated in an audio curve synthesis mode, and the model is as follows:
Figure FDA0002828016240000011
wherein:
k is a discrete independent variable;
f (k) is a discrete dependent variable;
f is the frequency, in the range of [100,1000] Hz;
psi is the phase, in the range [0,2 π ];
n is the number of frequency points,
if the frequency resolution is 1Hz, n is 900; if the frequency resolution is 2Hz, n is 450, the calculation amount is reduced once recursion along with the increase of the resolution, and the frequency point number can be adjusted according to the actual situation according to the noise reduction condition and the system frequency.
4. The method for reducing the wind noise of the automobile air conditioning pipeline according to claim 2, characterized by comprising the following steps: the numerical analysis is to perform discrete Fourier transform on data collected by the reference microphone array module and the error microphone array module by using discrete Fourier transform to obtain amplitude values and phase values corresponding to each frequency with the same resolution of the 1-mode microphone array module, and then obtain the following values:
f1:A1and
Figure FDA0002828016240000021
fn:Anand
Figure FDA0002828016240000022
5. the method for reducing the wind noise of the automobile air conditioning pipeline according to claim 2, characterized by comprising the following steps: the parameter optimization refers to adjusting the adjusting parameters in the model by referring to the data acquired by the microphone array module and the error microphone array module, so that the model approaches to the form of the wind noise curve of the automobile air conditioner pipeline from a random noise curve, and the adjusting parameters comprise the adjusting parameters in the formula
Figure FDA0002828016240000023
And
Figure FDA0002828016240000024
the optimization criteria were chosen as follows:
Figure FDA0002828016240000025
wherein:
n is the length of data acquired each time;
e (k) discrete data collected by the error microphone array module;
y (k) is discrete data collected by the reference microphone array module;
(2) the equation reduces to a vector form as follows:
Figure FDA0002828016240000031
the parameters can be matched according to formula 3
Figure FDA0002828016240000032
And
Figure FDA0002828016240000033
and (6) adjusting.
CN202011435644.5A 2020-12-10 2020-12-10 Device and method for reducing wind noise of automobile air conditioner pipeline Withdrawn CN112562629A (en)

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Publication number Priority date Publication date Assignee Title
JPH0588682A (en) * 1991-09-27 1993-04-09 Mazda Motor Corp Noise controller for vehicle
CN105529022A (en) * 2015-12-18 2016-04-27 东华大学 Self-adaptive combined integration filtering apparatus and noise control system and method
CN105575382A (en) * 2015-12-29 2016-05-11 哈尔滨工业大学 Complete parallel narrow-band active noise control method with rapid and stable convergence
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CN111524499A (en) * 2020-04-24 2020-08-11 青岛海信日立空调系统有限公司 Air conditioner and active noise reduction debugging method based on APP
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Publication number Priority date Publication date Assignee Title
CN116013239A (en) * 2022-12-07 2023-04-25 广州声博士声学技术有限公司 Active noise reduction algorithm and device for air duct
CN116013239B (en) * 2022-12-07 2023-11-17 广州声博士声学技术有限公司 Active noise reduction algorithm and device for air duct

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