A Low-Power Broad-Bandwidth Noise Cancellation VLSI Circuit Design for In-Ear Headphones

Vu, Hong-Son; Chen, Kuan‐Hung

doi:10.1109/tvlsi.2015.2480425

Cited by 26 publications

(10 citation statements)

References 19 publications

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“…Several studies were published on the application of ANC headphones [4][5][6][7][8][9][10][11]. In addition, several ANC headphones are commercially available and have been carefully evaluated [12].…”

Section: Introductionmentioning

confidence: 99%

Development and Evaluation of Light-Weight Active Noise Cancellation Earphones

et al. 2018

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This paper presents the development of active noise control (ANC) for light-weight earphones, and proposes using music or natural sound to estimate the critical secondary path model instead of extra random noise. Three types of light-weight ANC earphones including in-ear, earbud, and clip phones are developed. Real-time experiments are conducted to evaluate their performance using the built-in microphone inside KEMAR's ear and to compare with commercially-available ANC headphones and earphones. Experimental results show that the developed light-weight ANC earphones achieve higher noise reduction than the commercial ANC headphones and earphones, and the in-ear ANC earphone has the best noise reduction performance.

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Section: Introductionmentioning

confidence: 99%

Development and Evaluation of Light-Weight Active Noise Cancellation Earphones

et al. 2018

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“…This hardware architecture contains the MAC FIR filter, the weight update controller W[n], and three data buffers that are used to store the synthesized data x[n], the adjusted coefficients, and the output data x' [n]. In addition, to keep tracking on the changes of S(z) due to small position variations of the in-ear headphone, we adopt the on-line secondary path estimation module as described in [4].…”

Section: Dedicated Architecture Designmentioning

confidence: 99%

“…Different from a feedforward FxLMS ANC system that can physically acquire a reference signal of the noise [1]- [4], the feedback FxLMS ANC system needs to generate a virtual reference signal based on the internal model control structure, i.e. using the estimated anti-noise signal y'(n) and the error signal e(n) to synthesize the reference signal x(n).…”

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confidence: 99%

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A 1.4 mW low-power feed-back FxLMS ANC VLSI design for in-ear headphones

Chen

2016

2016 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)

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This work proposes a dedicated VLSI hardware architecture design that considers both audio signal processing requirements and hardware costs to achieve critical real-time active noise cancellation (ANC) performance for in-ear headphones. This new approach allows ANC systems to be operated at lower operating frequency which results in lower power consumption, and facilitates higher performance than that achieved by conventional ANC headphones. Compared with the existing works, the proposed design outperforms in attenuating wider bandwidth of noises, and saves 99.41% power consumption.

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“…Specifically, identical amplitude and antiphase anti-noise is created and actively integrated with the first noise, thereby triggering the elimination of both noises [8]. Several studies were published on the application of ANC methods (such as active noise canceling for headphones using a hybrid structure, active noise control in headsets by using a low-cost microcontroller, a low-power broad-bandwidth noise cancellation for in-ear headphones, adaptive feedback active noise control headset and sound quality of the machine) [9][10][11][12][13][14][15]. Although various problems are raised and relevant studies are constantly increasing to address noise problems, studies on noise in the dental treatment room including the medical industry are inadequate.…”

Section: Introductionmentioning

confidence: 99%

Noise Reduction Using Active Vibration Control Methods in CAD/CAM Dental Milling Machines

et al. 2019

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Used in close proximity to dental practitioners, dental tools and devices, such as hand pieces, have been a possible risk factor to hearing loss due to the noises they produce. Recently, additional technologies such as CAD/CAM (Computer Aided Design/Computer Aided Manufacturing) milling machines have been used in the dental environment and have emerged as a new contributing noise source. This has created an issue in fostering a pleasant hospital environment. Currently, because of issues with installing and manufacturing noise-reducing products, the technology is impractical and insufficient relative to its costly nature. In this experiment, in order to create a safe working environment, we hoped to analyze the noise produced and determine a practical method to attenuate the noises coming from CAD/CAM dental milling machines. In this research, the cause for a noise and the noise characteristics were analyzed by observing and measuring the sound from a milling machine and the possibility of reducing noise in an experimental setting was examined using a noise recorded from a real milling machine. Since a milling machine generates noise mainly due to vibration of the dust collector, the possibility of reducing noise was examined by controlling vibration. This study was conducted to understand the cause for noise from the milling machine and verify the possibility of improving noise by a tactile transducer.

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A Low-Power Broad-Bandwidth Noise Cancellation VLSI Circuit Design for In-Ear Headphones

Cited by 26 publications

References 19 publications

Development and Evaluation of Light-Weight Active Noise Cancellation Earphones

Development and Evaluation of Light-Weight Active Noise Cancellation Earphones

A 1.4 mW low-power feed-back FxLMS ANC VLSI design for in-ear headphones

Noise Reduction Using Active Vibration Control Methods in CAD/CAM Dental Milling Machines

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