• 한국음향학회지
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• 제31권6호
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• pp.367-372
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• 2012

본 논문은 64채널 디지털 보청기를 위한 소음 차폐 알고리즘을 소개한다. 125 Hz에서 8000 Hz 주파수 대역 사이에서 64채널을 위해, 125 Hz의 주파수 분해도를 유지하였다. 사람의 달팽이관과 유사한 스펙트럼 차폐 처리 효과를 보청기 소음 감쇠 처리 알고리즘에 적용하였다. 이론적 알고리즘은 어셈블러 언어의 프로그램 소프트웨어로 변환하여 디지털 보청기용 DSP IC 칩으로 이식하였다. 일부 소음 차폐 프로그램 코드를 보여주며 설명하였고, 실시간으로 소음 처리 되는 결과를 전기음향 실험에 의해 증명하였다.

• Imaging Science in Dentistry
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• 제43권3호
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• pp.185-190
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• 2013

Purpose: The aim of the present study was to evaluate the measurement accuracy of endodontic file length on periapical digital radiography after application of noise reduction digital enhancement. Materials and Methods: Thirty-five human single-rooted permanent teeth with canals measuring 20-24 mm in length were selected. ISO #08 endodontic files were placed in the root canals of the teeth. The file lengths were measured with a digital caliper as the standard value. Standard periapical digital images were obtained using the Digora digital radiographic system and a dental X-ray unit. In order to produce the enhanced images, the noise reduction option was applied. Two blinded radiologists measured the file lengths on the original and enhanced images. The measurements were compared by repeated measures ANOVA and the Bonferroni test (${\alpha}=0.05$). Results: Both the original and enhanced digital images provided significantly longer measurements compared with the standard value (P<0.05). There were no significant differences between the measurement accuracy of the original and enhanced images (P>0.05). Conclusion: Noise reduction digital enhancement did not influence the measurement accuracy of the length of the thin endodontic files on the digital periapical radiographs despite the fact that noise reduction could result in the elimination of fine details of the images.

• 한국콘텐츠학회논문지
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• 제9권5호
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• pp.91-98
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• 2009

최근 디지털카메라의 기술 개발은 빛이 부족한 상황에서도 사진용 플래시와 같은 장비를 사용하지 않고서 사진을 촬영할 수 있는 다양한 고감도 기능을 탑재하는 경향이다. 또한 다양한 고감도에 적용시킬 수 있는 디지털카메라의 노이즈감소기능도 동시에 개발되고 있다. 그러나 노이즈가 발생하기 쉬운 고감도 상황에서 디지털카메라의 노이즈감소기능은 노이즈를 감소시키는 동시에 이미지의 해상도도 감소시키는 경향을 보인다. 따라서 본 연구에서는 디지털카메라의 노이즈감소기능이 이미지 해상도에 미치는 영향을 실험을 통해 양적으로 수치화 하고자 한다. 실험은 해상도와 노이즈 타깃을 디지털카메라의 감도별로 촬영하고, 측정값을 분석한 결과 노이즈감소기능이 적용될 때 최대 15%까지 해상도가 감소하는 것을 확인할 수 있었다. 이와 같은 연구는 디지털카메라의 사용자에게는 노이즈감소기능의 정확한 활용을 가능하게 하며 제조사에게는 노이즈감소기능을 검증해 볼 수 있게 할 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권10호
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• pp.4930-4951
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• 2018

The deep learning based speech enhancement has shown considerable success. However, it still suffers performance degradation under mismatch conditions. In this paper, an adaptation method is proposed to improve the performance under noise mismatch conditions. Firstly, we advise a noise aware training by supplying identity vectors (i-vectors) as parallel input features to adapt deep neural network (DNN) acoustic models with the target noise. Secondly, given a small amount of adaptation data, the noise-dependent DNN is obtained by using $L_2$ regularization from a noise-independent DNN, and forcing the estimated masks to be close to the unadapted condition. Finally, experiments were carried out on different noise and SNR conditions, and the proposed method has achieved significantly 0.1%-9.6% benefits of STOI, and provided consistent improvement in PESQ and segSNR against the baseline systems.

• 디지털산업정보학회논문지
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• 제10권4호
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• pp.161-170
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• 2014

Analog cassette tapes are easily changed due to environmental factors. To digitize is the best way to preserve a sound source. The way to digitize is to deal with the original sound to be enhanced to a variety of sources by playing through the audio card after recording. In this process to occur, it's the most important to remove various noise and equalizing sound in a method for preserving. It's studied about how to remove noise by using one of softwares, Cubase 5. 5, to remove hiss noise, which happens changing analog tape into digitalization. A amount of hiss noise is reduced to use X-Noise software of Wave which uses in Cubase 5.0, one of PLUG-IN. The noise is removed changing value of threshold and reduction every 10 times in no change of origin sound. To keep regular condition, the experiment to remove the hiss noise is conducted based on sound meondle, which is one of sound Nonmaegi. The noise is removed easily when the value of threshold is getting high in spite of giving a little value of reduction. However, as it gives a amount of reduction high, the damage rate of the sound source gets high.

• 전기전자학회논문지
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• 제23권2호
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• pp.474-478
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• 2019

본 논문에서는 휴대단말기 내의 디지털 노이즈와 안테나 사이의 결합(coupling)으로 인한 수신감도 저하 현상을 특성 모드(characteristic mode)를 사용해서 분석한다. 우선, 안테나와 디지털 잡음의 결합 메커니즘(mechanism)을 분석하고, 카메라 노이즈로 인한 안테나 수신감도 열화현상의 개선 방법 중 하나인 그라운드(ground) 선의 디커플링 커패시터(decoupling capacitor, decap)의 역할에 대해서도 분석한다. 분석을 위해서 카메라 모듈의 FPCB의 디지털 신호 선과 그라운드 선을 PCB 그라운드의 특성 모드를 여기(excitation) 시키는 루프(loop)형 피더(feeder)로 모델링 했고, 그라운드 선과 커패시터를 추가한 개선 모델에 대해서 분석을 했다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.562-564
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• 2002

Noise reduction and a simplification of a precision measurement system has been performed by changing analog output mode of a load cell into digital output mode. Usually, analog output signal of a few $\mu V$ from a load cell are amplified by amp and acquired by A/D converter. If the distance from a load cell to a DAS(Data Acquisition System) increases, more noise signals are mixed. So, a microprocessor has been integrated into a load cell so that the amplification and A/D conversion of output signals could be done in close proximity to the lode cell for the reduction in mixing of noise. Obtained data from the load cell like this manner are transferred to a computer with digital values(of TTL level). To simplify the configuration of a multi-channel DAS, RS-485 communication system has used for data transfer.

• 한국전자파학회논문지
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• 제13권6호
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• pp.599-604
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• 2002

본 논문에서는 편광기를 부착한 차동검출기의 부하저항으로 디지털가변저항을 사용하여 잡음소거 능력을 개선하였다. 이 구조에서는 차동검출기를 구성하는 2개의 포토다이오드에서 검출된 잡음전압의 크기가 항상 동일한 값이 되도록 디지털 가변저항의 크기를 제어하여 잡음광을 소거한다. 이 방식에서는 고정된 부하저항을 사용한 구조에 비하여 신호대잡음비가 약 23 dB 더 향상되었다.

• 전기학회논문지
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• 제58권4호
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• pp.857-866
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• 2009

In this paper, a noise cancellation-method using microphone array for digital hearing aids is proposed. The microphone array is located around the ear of a dummy. Speech sound is generated from the forward speaker positioned in the front of the dummy and noise sound is generated from the backward speaker. The speech and noise are mixed in the air space and entered into the microphones. VAD(voice activity detector) and ANC(adaptive noise cancellation) methods were used to eliminate noise in the sound of the microphones. 10 two-syllable words and 4 sentences were used for speech signals. Babble and car interior noise were used for noise signals. The performance of the proposed algorithm was evaluated by SNR(signal-to-noise ratio) and PESQ-MOS(perceptual evaluation of speech quality-mean opinion score). In babble noise condition, SNR was improved as much as $7.963{\pm}1.3620dB\;and\;3.968{\pm}0.6659dB$ for words and sentences respectively. In the case of car interior noise, SNR was improved as $10.512{\pm}2.0665dB\;and\;6.000{\pm}1.7642dB$ for words and sentences respectively. PESQ-MOS of the babble noise was improved as much as $0.1722{\pm}0.0861$ score for words and $0.083{\pm}0.0417$ score for sentences. And PESQ-MOS of the car interior noise was improved as $0.2661{\pm}0.0335$ score and $0.040{\pm}0.0201$ score for words and sentences respectively. It is verified that the proposed algorithm has a good performance in noise cancellation of microphone array for digital hearing aids.

• 한국자동차공학회논문집
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• 제1권3호
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• pp.55-62
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• 1993

Autoregressive moving average(ARMA) model which is a time domain parametric modeling method is implemented for modeling and reproducing characteristics of exhaust noise of an automobile in various RPM range. Experiments have been carried out using 9 set of exhaust noise signals measured at 1,000-3,000 RPM range. Characteristics of sampled signals were estimated using ARMA modeling and Akaike's FPE(final prediction error) criterion to define exact model structure and for model validation. The digital filter consisted of the esitmated ARMA(70,1) model parameters was programed to reproduce exhaust noise. The spectral analysis of reproduced noise is very close to original. The results show that our approaching technique for reproducing acoustic characteristics is valid and feasible to apply in the field of noise quality control.