WO2007142234A1 - 能動型騒音制御装置 - Google Patents
能動型騒音制御装置 Download PDFInfo
- Publication number
- WO2007142234A1 WO2007142234A1 PCT/JP2007/061371 JP2007061371W WO2007142234A1 WO 2007142234 A1 WO2007142234 A1 WO 2007142234A1 JP 2007061371 W JP2007061371 W JP 2007061371W WO 2007142234 A1 WO2007142234 A1 WO 2007142234A1
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- WIPO (PCT)
- Prior art keywords
- noise
- frequency
- signal
- digital filter
- error signal
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Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods 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
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods 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
- G10K11/1785—Methods, e.g. algorithms; Devices
- G10K11/17853—Methods, e.g. algorithms; Devices of the filter
- G10K11/17854—Methods, e.g. algorithms; Devices of the filter the filter being an adaptive filter
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods 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
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods 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
- G10K11/1787—General system configurations
- G10K11/17879—General system configurations using both a reference signal and an error signal
- G10K11/17883—General system configurations using both a reference signal and an error signal the reference signal being derived from a machine operating condition, e.g. engine RPM or vehicle speed
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/30—Means
- G10K2210/301—Computational
- G10K2210/3028—Filtering, e.g. Kalman filters or special analogue or digital filters
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
- G10K2210/30—Means
- G10K2210/301—Computational
- G10K2210/3053—Speeding up computation or convergence, or decreasing the computational load
Definitions
- the present invention relates to an active noise reduction device that actively reduces vibration noise generated by the force of rotating equipment such as a vehicle engine.
- Patent Document 1 a method for performing adaptive control using an adaptive notch filter is known (see, for example, Patent Document 1).
- FIG. 7 is a block diagram showing a configuration of a conventional active noise reduction device described in Patent Document 1.
- the discrete calculation for realizing the active noise reduction apparatus is executed in the discrete calculation processing unit 115.
- the engine speed detector 101 outputs a pulse train having a frequency proportional to the engine speed as an engine pulse P. For example, this engine pulse p is generated by taking the output of the crank angle sensor.
- the frequency detector 102 calculates and outputs a noise frequency f based on the engine pulse p.
- the reference signal generation unit 116 has a sine wave table 103 that holds values of points obtained by equally dividing one cycle of the sine wave in a memory.
- the selection unit 117 selects data from the sine wave table 103, and generates and outputs a reference sine wave signal xl [n] and a reference cosine wave signal X 2 [n] whose frequency is equal to the noise frequency f.
- the reference signal generation unit 118 obtains a reference sine wave signal correction value at a frequency f (Hz) based on a reference sine wave signal correction value table 119 simulating the transfer characteristic value from the speaker 110 to the microphone 111 by CI [f
- the reference cosine wave signal correction value table 120 (the reference cosine wave signal correction value at the frequency f (Hz) is expressed as C2 [f]) and the reference sine wave signal rl [n] and Generate and output a reference cosine wave signal r2 [n].
- the first one-tap digital filter 107 filters X l [n] with a filter coefficient Wl [n] held therein to generate a first control signal yl [n].
- the second 1-tap digital filter 108 filters the reference cosine wave signal x2 [n] with the filter coefficient W2 [n] held therein, and generates the second control signal y2 [n].
- the power amplifier 109 amplifies a signal obtained by adding the first control signal yl [n] and the second control signal y2 [n].
- the speaker 110 outputs the output signal from the power amplifier 109 as noise canceling sound.
- the microphone 111 detects sound generated as a result of interference between noise and noise cancellation sound as an error signal ⁇ [ ⁇ ].
- the first adaptive control algorithm calculation unit 112 is based on a reference sine wave signal rl [n] and an error signal ⁇ [ ⁇ ], for example, based on an LMS (Least Mean Square) algorithm which is a kind of steepest descent method.
- the filter coefficient Wl [n] is updated sequentially.
- the second adaptive control algorithm calculation unit 113 sequentially updates the filter coefficient W2 [ ⁇ ] based on the reference cosine wave signal r2 [n] and the error signal ⁇ [ ⁇ ].
- Patent Document 1 Japanese Patent Application Laid-Open No. 2004-361721
- the present invention provides an active noise control device that reduces the calculation load necessary for noise suppression control by minimizing the execution of product calculation.
- the active noise control device of the present invention includes a control target noise frequency detection unit that detects a frequency of noise to be controlled due to a noise source, and the same noise frequency detected by the control target noise frequency detection unit.
- a sine wave generator that generates a sine wave of the same frequency
- a cosine wave generator that generates a cosine wave
- a first one-tap digital filter that receives a sine wave signal from the sine wave generator, and a cosine wave generator
- the input of the second one-tap digital filter to which the cosine wave signal of the force is input, the output from the first one-tap digital filter and the output from the second one-tap digital filter are added, and the noise source Drive signal generation unit that outputs a drive signal for interfering with noise to be controlled due to noise, and interference between the drive signal output from the drive signal generation unit and noise to be controlled due to the noise source Mistake Signal
- An error signal detection unit for detecting the first coefficient, a first coefficient updating unit for updating the filter coefficient of the first one-tap digital
- the first coefficient updating unit and the second coefficient updating unit have the same fundamental frequency as the error signal detected by the error signal detection unit force and the noise frequency detected by the control target noise frequency detection unit.
- the coefficients of the first 1-tap digital filter and the second 1-tap digital filter are updated so that the noise in the error signal detection unit is reduced based on the reference signals of the equilateral triangular wave.
- the reference signal is an isosceles triangular wave
- a value related to the phase characteristic in the transfer characteristic from the drive signal generation unit to the error signal detection unit can be determined without product calculation. Therefore, the calculation load is reduced.
- the calculation load can be reduced.
- FIG. 1 is a block diagram showing a configuration of an active noise control apparatus according to Embodiment 1 of the present invention.
- FIG. 2 is a characteristic diagram showing an example of a sine wave table included in the active noise control apparatus according to Embodiment 1 of the present invention.
- FIG. 3 is a diagram showing an example of a sine wave table included in the active noise control apparatus according to Embodiment 1 of the present invention.
- FIG. 4A is a characteristic diagram showing an example of transfer characteristics from the speaker to the microphone of the active noise control apparatus according to Embodiment 1 of the present invention.
- FIG. 4B is a characteristic diagram showing an example of transfer characteristics from the speaker to the microphone of the active noise control apparatus according to Embodiment 1 of the present invention.
- FIG. 5A is a diagram showing an example of an amplitude characteristic array corresponding to the transfer characteristic from the speaker to the microphone of the active noise control apparatus according to Embodiment 1 of the present invention.
- FIG. 5B is a diagram showing an example of a phase characteristic converted value array corresponding to the transfer characteristic from the speaker to the microphone of the active noise control apparatus according to Embodiment 1 of the present invention.
- FIG. 6A is a characteristic diagram showing a time axis waveform of an isosceles triangular wave.
- FIG. 6B is a characteristic diagram showing a time-axis waveform of a square wave.
- FIG. 6C is a characteristic diagram showing a time axis waveform of an isosceles trapezoidal wave.
- FIG. 6D is a characteristic diagram showing harmonic analysis of an isosceles triangular wave.
- FIG. 6E is a characteristic diagram showing harmonic analysis of a square wave.
- FIG. 6F is a characteristic diagram showing harmonic analysis of an isosceles trapezoidal wave.
- FIG. 7 is a block diagram showing a configuration of a conventional active noise reduction device.
- Second adaptive control algorithm computation unit (second coefficient update unit)
- FIG. 1 is a block diagram of an active noise reduction apparatus according to Embodiment 1 of the present invention.
- an engine speed detector 1 outputs a pulse train having a frequency proportional to the engine speed as a noise source mounted on a vehicle as an engine noise p.
- System The frequency detection unit 2, which is the target noise frequency detection unit calculates the control target noise frequency f (Hz) from the engine pulse p and outputs it.
- the sine wave table 3 having discretized sine wave data holds the sine value of each point obtained by dividing one period of the sine wave into N equal parts in the memory.
- the sine wave generation unit 5 reads data from the sine wave table 3 at predetermined intervals based on the control target noise frequency f for each sampling period, and generates a reference sine wave signal xl [n].
- the cosine wave generation unit 6 reads data from the sine wave table 3 at predetermined intervals based on the control target noise frequency f for each sampling period.
- the reference cosine wave signal x2 [n] is generated by reading the point that precedes the sine wave generator 5 by NZ4. When the read point exceeds N, the point obtained by subtracting N from the read point is set as the new read point.
- the characteristic table 4 holds the phase characteristic conversion value P [f] for each frequency.
- the phase characteristic conversion value P [f] is the value obtained by converting the amplitude characteristic G [f] of the transmission characteristic from the speaker 10 to the microphone 11 and the phase characteristic into the relative point movement amount N of points in the sine wave table 3. is there.
- the reference signal generation unit 14 Based on the control target noise frequency f, the reference signal generation unit 14 reads the amplitude characteristic G [f] and the phase characteristic conversion value P [f] at the control target noise frequency f from the characteristic table 4.
- the first one-tap digital filter 7 holds the first filter coefficient Wl [n] therein, and the reference sine wave signal xl [n] and the first filter coefficient Wl [n] Based on the above, the first control signal yl [n] is output.
- the second 1-tap digital filter 8 holds the second filter coefficient W2 [n] inside, and is based on the reference cosine wave signal x2 [n] and the second filter coefficient W2 [n]. Then, the second control signal y2 [n] is output.
- the power amplifier 9 amplifies a signal obtained by adding the first control signal yl [n] and the second control signal y2 [n].
- the speaker 10 which is a drive signal generation unit outputs the output signal from the power amplifier 9 as noise canceling sound.
- the microphone 11 serving as an error signal detection unit detects a sound generated as a result of interference between the control target noise generated due to the engine vibration and the noise canceling sound as an error signal ⁇ [ ⁇ ].
- the first adaptive control algorithm computing unit 12 serving as the first coefficient updating unit has a sine reference signal.
- the filter coefficient Wl [n] of the first one-tap digital filter 7 is sequentially updated based on the signal rl [n] and the error signal ⁇ [ ⁇ ].
- the second adaptive control algorithm calculation unit 13 serving as the second coefficient update unit 13 generates a second one-tap digital filter 8 based on the cosine reference signal r2 [n] and the error signal ⁇ [ ⁇ ].
- the filter coefficient W2 [n] is sequentially updated. In this way, the discrete arithmetic processing unit 15 is configured by software.
- the frequency detection unit 2 generates an interrupt at each rising edge of the engine pulse p, for example, measures the time between the rising edges, and calculates the frequency f of the control target noise based on the measurement result.
- the sine wave table 3 equally divides one cycle of the sine wave into N, and holds discrete data of sine values at each point in the memory.
- the array storing the sine values from the 0th point to N — 1st point is expressed by z [m] (0 ⁇ m ⁇ N)
- relational expression (1) holds.
- FIGS. 2 and 3 are characteristic diagrams showing examples of a sine wave table included in the active noise control apparatus according to Embodiment 1 of the present invention.
- the characteristic table 4 includes the amplitude characteristic array G [f] representing the amplitude characteristic of the transmission characteristic from the speaker 10 to the microphone 11 and the phase characteristic as the relative point movement amount of the number of points N in the sine wave table 3.
- the converted phase characteristic conversion value array P [f] is stored in the memory. Where f is the frequency (Hz).
- FIG. 4A and FIG. 4B are characteristic diagrams showing an example of transmission characteristics to the speaker force microphone of the active noise control apparatus according to Embodiment 1 of the present invention.
- FIG. 5A is a diagram showing an example of an amplitude characteristic array corresponding to the transfer characteristic from the speaker to the microphone of the active noise control apparatus according to Embodiment 1 of the present invention.
- the amplitude characteristic array G [f] corresponding to the amplitude characteristic ⁇ [f] in Fig. 4A is shown.
- FIG. 5B is a diagram showing an example of a phase characteristic converted value array corresponding to the transfer characteristic from the speaker to the microphone of the active noise control apparatus according to the first embodiment of the present invention.
- the phase characteristic array P [f] corresponding to the phase characteristic ⁇ [f] in Fig. 4B is shown.
- the sine wave generation unit 5 stores the current read position i [n] of the sine wave table 3 in the memory, and the current read position based on the control target noise frequency f is expressed by Equation (3). To move every cycle.
- Equation (3) if the calculation result on the right side of Equation (3) is N or more, i [n + l] is obtained by subtracting the calculation result N on the right side of Equation (3).
- the sine wave generation unit 5 generates a reference sine wave signal xl [n] having the same frequency as the control target noise frequency f by Expressions (4) and (5).
- the cosine wave generation unit 6 calculates a reference cosine wave signal x2 [n] having the same frequency as the control target noise frequency f and advanced by a quarter of a period from the reference sine wave signal xl [n]. Generated by (6) and (7).
- Equation (6) if the calculation result on the right side of Equation (6) is N or more, ix2 is the value obtained by subtracting the calculation result N on the right side of Equation (6).
- the reference signal generation unit 14 uses the amplitude characteristic value and the phase characteristic of the transfer characteristic from the speaker 10 to the microphone 11 at the control target noise frequency f to calculate the relative point movement amount of the number of points N in the sine wave table 3.
- the phase characteristic converted value converted to, and the characteristic table 4 force are also extracted as G [f], P [f], and the sine reference signal rl [n] and cosine reference signal r2 [n] are created by the following method To do.
- the sine wave reference signal rl [n] is
- A is an arbitrary value.
- the sine wave reference signal rl [n] is
- the first and second one-tap digital filters 7 and 8 are connected to the first and second control signals yl [n], respectively.
- the first and second adaptive control algorithm computing units 12 and 13 are held by the first and second one-type digital filters 7 and 8, respectively, using, for example, the LMS (Least Mean Square) algorithm, which is a kind of steepest descent method.
- the filter coefficients Wl [n] and W2 [n] to be updated are updated using Equation (13) and Equation (14).
- ⁇ is the step size parameter and determines the convergence speed in the steepest descent method.
- the noise to be controlled can be reduced by converging the filter coefficient Wl [ ⁇ ] and the filter coefficient W2 [ ⁇ ].
- a sine wave is generally used as a reference signal.
- a sine wave is used as a reference signal.
- the mechanism for reducing the noise at the target frequency f is explained in the same way as in the case of using.
- FIG. 6A is a characteristic diagram showing a time axis waveform of an isosceles triangular wave.
- Fig. 6B is a characteristic diagram showing the time-axis waveform of a square wave.
- Fig. 6C is a characteristic diagram showing the time-axis waveform of an isosceles trapezoidal wave.
- FIG. 6D is a characteristic diagram showing harmonic analysis of an isosceles triangular wave.
- Fig. 6E is a characteristic diagram showing harmonic analysis of a square wave.
- Fig. 6F is a characteristic diagram showing harmonic analysis of an isosceles trapezoidal wave.
- ⁇ ⁇ ⁇ is proportional to the cumulative value of-X ⁇ [n] Xrl [n]) and (one X ⁇ [n] Xr2 [n]).
- ⁇ [ ⁇ ] is a sinusoidal wave Sin (2 fnZT) with frequency f
- Wl can be calculated from equations (15) and (17).
- both Wl and W2 are equivalent to using a sine wave as the reference signal.
- the noise of the target frequency f can be reduced even when an isosceles triangular wave, square wave, or isosceles trapezoidal wave is used for the reference signal, as in the case of using a sine wave for the reference signal.
- ⁇ [ ⁇ ] is a sine wave of frequency f, in addition to Sin (2 ⁇ fn / T), its harmonics, for example, the third-order component B Sin (2 ⁇ 3 ⁇ ) is considered.
- the cumulative value of the product with 1 2 is generated, which differs from the cumulative value when the reference signal is a sine wave of frequency f.
- the higher-order components included in the reference signal are smaller than the fundamental component, that is, A> A.
- Noise also has higher order components than the fundamental component.
- the isosceles trapezoidal wave has the smallest harmonic component (particularly the third harmonic) with a sufficiently small error compared to the fundamental wave as shown in Fig. 6F.
- the present invention and the method described in Patent Document 1 are compared in terms of power of calculation load.
- the reference sine wave signal correction value table 119 (simulation of the transfer characteristic value from the speaker 10 to the microphone 11 is used as the reference sine wave signal correction value at the frequency f (Hz).
- the reference cosine wave signal correction value table 120 (the reference cosine wave signal correction value at the frequency f (Hz) is expressed as C2 [f]) and the following equation (21) and From equation (22), a reference sine wave signal rl [n] and a reference cosine wave signal r2 [n] are generated, respectively.
- the input x2 [n] to the second one-tap digital filter has been described as a reference cosine wave signal.
- the phase difference between xl [n] and x2 [n] is 90 It is not limited to °, and some errors are allowed.
- the first and second one-tap digital filters 7, 8 and the first and second adaptive control algorithms It is also possible to mute the multi-order component of the noise to be controlled by preparing a plurality of the operation units 12 and 13 respectively.
- the active noise control device can reduce the calculation load by minimizing the execution of the product-sum operation, and is useful as an active noise control device that is practical at low cost.
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
Abstract
Description
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Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/297,965 US20090175461A1 (en) | 2006-06-09 | 2007-06-05 | Active noise controller |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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JP2006-160483 | 2006-06-09 | ||
JP2006160483A JP2007328219A (ja) | 2006-06-09 | 2006-06-09 | 能動型騒音制御装置 |
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WO2007142234A1 true WO2007142234A1 (ja) | 2007-12-13 |
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PCT/JP2007/061371 WO2007142234A1 (ja) | 2006-06-09 | 2007-06-05 | 能動型騒音制御装置 |
Country Status (4)
Country | Link |
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US (1) | US20090175461A1 (ja) |
JP (1) | JP2007328219A (ja) |
CN (1) | CN101427306A (ja) |
WO (1) | WO2007142234A1 (ja) |
Cited By (1)
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---|---|---|---|---|
CN105679304A (zh) * | 2014-12-08 | 2016-06-15 | 福特全球技术公司 | 用于宽带主动噪声控制系统的可变带宽无延迟子带算法 |
Families Citing this family (36)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4378391B2 (ja) * | 2007-03-28 | 2009-12-02 | 本田技研工業株式会社 | 車両用能動型騒音制御システム |
JP5359305B2 (ja) * | 2009-01-21 | 2013-12-04 | パナソニック株式会社 | 能動型騒音制御装置 |
EP2505870A1 (en) * | 2009-11-25 | 2012-10-03 | Sinfonia Technology Co., Ltd. | Vibration damping device and vehicle provided therewith |
US8908877B2 (en) | 2010-12-03 | 2014-12-09 | Cirrus Logic, Inc. | Ear-coupling detection and adjustment of adaptive response in noise-canceling in personal audio devices |
EP2647002B1 (en) | 2010-12-03 | 2024-01-31 | Cirrus Logic, Inc. | Oversight control of an adaptive noise canceler in a personal audio device |
US8948407B2 (en) | 2011-06-03 | 2015-02-03 | Cirrus Logic, Inc. | Bandlimiting anti-noise in personal audio devices having adaptive noise cancellation (ANC) |
US9318094B2 (en) | 2011-06-03 | 2016-04-19 | Cirrus Logic, Inc. | Adaptive noise canceling architecture for a personal audio device |
US8958571B2 (en) * | 2011-06-03 | 2015-02-17 | Cirrus Logic, Inc. | MIC covering detection in personal audio devices |
US9824677B2 (en) | 2011-06-03 | 2017-11-21 | Cirrus Logic, Inc. | Bandlimiting anti-noise in personal audio devices having adaptive noise cancellation (ANC) |
US9123321B2 (en) | 2012-05-10 | 2015-09-01 | Cirrus Logic, Inc. | Sequenced adaptation of anti-noise generator response and secondary path response in an adaptive noise canceling system |
US9318090B2 (en) | 2012-05-10 | 2016-04-19 | Cirrus Logic, Inc. | Downlink tone detection and adaptation of a secondary path response model in an adaptive noise canceling system |
US9319781B2 (en) | 2012-05-10 | 2016-04-19 | Cirrus Logic, Inc. | Frequency and direction-dependent ambient sound handling in personal audio devices having adaptive noise cancellation (ANC) |
JP5712348B2 (ja) * | 2012-06-28 | 2015-05-07 | パナソニックIpマネジメント株式会社 | 能動型騒音低減装置と、これを用いた能動型騒音低減システム、ならびに移動体装置、および能動型騒音低減方法 |
US9532139B1 (en) | 2012-09-14 | 2016-12-27 | Cirrus Logic, Inc. | Dual-microphone frequency amplitude response self-calibration |
US9369798B1 (en) | 2013-03-12 | 2016-06-14 | Cirrus Logic, Inc. | Internal dynamic range control in an adaptive noise cancellation (ANC) system |
US9414150B2 (en) | 2013-03-14 | 2016-08-09 | Cirrus Logic, Inc. | Low-latency multi-driver adaptive noise canceling (ANC) system for a personal audio device |
US9502020B1 (en) | 2013-03-15 | 2016-11-22 | Cirrus Logic, Inc. | Robust adaptive noise canceling (ANC) in a personal audio device |
US9191739B2 (en) * | 2013-03-25 | 2015-11-17 | Bose Corporation | Active reduction of harmonic noise from multiple rotating devices |
US9344796B2 (en) * | 2013-03-25 | 2016-05-17 | Bose Corporation | Active reduction of harmonic noise from multiple noise sources |
US10206032B2 (en) | 2013-04-10 | 2019-02-12 | Cirrus Logic, Inc. | Systems and methods for multi-mode adaptive noise cancellation for audio headsets |
US9462376B2 (en) | 2013-04-16 | 2016-10-04 | Cirrus Logic, Inc. | Systems and methods for hybrid adaptive noise cancellation |
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US9578432B1 (en) | 2013-04-24 | 2017-02-21 | Cirrus Logic, Inc. | Metric and tool to evaluate secondary path design in adaptive noise cancellation systems |
US9666176B2 (en) | 2013-09-13 | 2017-05-30 | Cirrus Logic, Inc. | Systems and methods for adaptive noise cancellation by adaptively shaping internal white noise to train a secondary path |
US9620101B1 (en) | 2013-10-08 | 2017-04-11 | Cirrus Logic, Inc. | Systems and methods for maintaining playback fidelity in an audio system with adaptive noise cancellation |
US10382864B2 (en) | 2013-12-10 | 2019-08-13 | Cirrus Logic, Inc. | Systems and methods for providing adaptive playback equalization in an audio device |
US9704472B2 (en) | 2013-12-10 | 2017-07-11 | Cirrus Logic, Inc. | Systems and methods for sharing secondary path information between audio channels in an adaptive noise cancellation system |
US10219071B2 (en) | 2013-12-10 | 2019-02-26 | Cirrus Logic, Inc. | Systems and methods for bandlimiting anti-noise in personal audio devices having adaptive noise cancellation |
US9369557B2 (en) | 2014-03-05 | 2016-06-14 | Cirrus Logic, Inc. | Frequency-dependent sidetone calibration |
US9478212B1 (en) | 2014-09-03 | 2016-10-25 | Cirrus Logic, Inc. | Systems and methods for use of adaptive secondary path estimate to control equalization in an audio device |
US9552805B2 (en) | 2014-12-19 | 2017-01-24 | Cirrus Logic, Inc. | Systems and methods for performance and stability control for feedback adaptive noise cancellation |
WO2017029550A1 (en) | 2015-08-20 | 2017-02-23 | Cirrus Logic International Semiconductor Ltd | Feedback adaptive noise cancellation (anc) controller and method having a feedback response partially provided by a fixed-response filter |
US9578415B1 (en) | 2015-08-21 | 2017-02-21 | Cirrus Logic, Inc. | Hybrid adaptive noise cancellation system with filtered error microphone signal |
US10013966B2 (en) | 2016-03-15 | 2018-07-03 | Cirrus Logic, Inc. | Systems and methods for adaptive active noise cancellation for multiple-driver personal audio device |
JP6928865B2 (ja) * | 2017-03-16 | 2021-09-01 | パナソニックIpマネジメント株式会社 | 能動型騒音低減装置及び能動型騒音低減方法 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04308897A (ja) * | 1991-04-05 | 1992-10-30 | Mitsubishi Heavy Ind Ltd | 能動消音装置 |
JPH0792979A (ja) * | 1993-09-21 | 1995-04-07 | Mitsubishi Electric Corp | 電子消音装置及び電子消音方法 |
JPH0972375A (ja) * | 1995-07-04 | 1997-03-18 | Nippon Soken Inc | アクティブ制振装置 |
JP2004361721A (ja) * | 2003-06-05 | 2004-12-24 | Honda Motor Co Ltd | 能動型振動騒音制御装置 |
-
2006
- 2006-06-09 JP JP2006160483A patent/JP2007328219A/ja not_active Withdrawn
-
2007
- 2007-06-05 WO PCT/JP2007/061371 patent/WO2007142234A1/ja active Application Filing
- 2007-06-05 US US12/297,965 patent/US20090175461A1/en not_active Abandoned
- 2007-06-05 CN CNA2007800142354A patent/CN101427306A/zh active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04308897A (ja) * | 1991-04-05 | 1992-10-30 | Mitsubishi Heavy Ind Ltd | 能動消音装置 |
JPH0792979A (ja) * | 1993-09-21 | 1995-04-07 | Mitsubishi Electric Corp | 電子消音装置及び電子消音方法 |
JPH0972375A (ja) * | 1995-07-04 | 1997-03-18 | Nippon Soken Inc | アクティブ制振装置 |
JP2004361721A (ja) * | 2003-06-05 | 2004-12-24 | Honda Motor Co Ltd | 能動型振動騒音制御装置 |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105679304A (zh) * | 2014-12-08 | 2016-06-15 | 福特全球技术公司 | 用于宽带主动噪声控制系统的可变带宽无延迟子带算法 |
CN105679304B (zh) * | 2014-12-08 | 2020-11-27 | 福特全球技术公司 | 用于宽带主动噪声控制系统的可变带宽无延迟子带算法 |
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JP2007328219A (ja) | 2007-12-20 |
CN101427306A (zh) | 2009-05-06 |
US20090175461A1 (en) | 2009-07-09 |
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