• Title/Summary/Keyword: 잡음원

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Adaptive Prediction Approach to Active Noise Cancellation (능동 잡음제거를 위한 적응 예측방식)

  • 강명훈;부인형;강철호
    • The Journal of the Acoustical Society of Korea
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    • v.12 no.5
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    • pp.54-63
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    • 1993
  • 적응 능동 잡음제거를 위한 새로운 방식을 기술했으며, 잡음원이 존재하는 환경에서 물리적인 잡음 제거를 하는데 목표를 두었다. 기존의 시스템 식별 방식과 달리 적응 예측기를 사용하였으며 신호를 검출하는데 쓰이는 마이크를 하나로 구성하였다. 잡음 신호 자체를 예측함으로써 적극적인 대처를 할 수 있으며 적응 알고리즘은 한번만 사용되고 적응 제어형 시스템 식별 방식에서 필요로 하는 피드백 항을 제거시킴으로써 시스템을 간략화시켰다. 컴퓨터 모의 실험 결과를 통하여 제안한 방식이 주기성을 갖거나 혹은 대역 제한된 잡음에 대해서 매우 유용함을 보였다.

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Analytical Formula of the Excess Noise in Homogeneous Semiconductors (균질 반도체의 과잉 잡음에 관한 해석적 식)

  • Park, Chan-Hyeong;Hong, Sung-Min;Min, Hong-Shick;Park, Young-June
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.9
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    • pp.8-13
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    • 2008
  • Noise in homogeneous extrinsic semiconductor samples is calculated due to distributed diffusion noise sources. As the length of the device shrinks at a fixed bias voltage, the ac-wise short-circuit noise current shows excess noise as well as thermal noise spectra. This excess noise behaves like a full shot noise when the channel length becomes very small compared with the extrinsic Debye length. For the first time, the analytic formula of the excess noise in extrinsic semiconductors from velocity-fluctuation noise sources is given for finite frequencies. This formula shows the interplay between transit time, dielectric relaxation time, and velocity relaxation time in determining the terminal noise current as well as the carrier density fluctuation. As frequency increases, the power spectral density of the excess noise rolls off. This formula sheds light on noise in nanoscale MOSFETs where quasi-ballistic transport plays an important role in carrier transport and noise.

A Study on the SNR Margin Performance of Digital Subscriber Line in Complex Noises Environment (복합 잡음환경에서 디지털 가입자 회선의 SNR 마진 성능에 관한 연구)

  • 김용환;조평동;박상준;강영흥
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.9C
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    • pp.829-835
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    • 2002
  • DSL(digital subscriber line) transceiver designers have concerned the impulsive noise as well as NEXT(near-end crosstalk) and FEXT(far-end crosstalk) immunities Down as the strongest sources that limit the DSL channel capacity. In these noise environment the analysis on the performance of DSL should be needed. Therefore, in this paper we have estimated and simulated the SNR(signal-to-noise ratio) margin of DMT(discrete multi-tone) signal in Gauss, NEXT, FEXT and impulse noise environment by modeling an Middleton's Class A impulse signal with the test Cook pulses. As a result, it is known that the transmission rate of uplink is limited by noise characteristics rather than by loop length, but that of downlink limited complexly by both of noise characteristics and loop length. In conclusion, these results will be utilized as the threshold of ADSL performance in the complex noise environment including impulse noise.

A Study on Improvement of QoS through Analyzing Transmission Characteristics of TDMA Noise in the GSM Mobile Set (GSM 휴대폰 TDMA 잡음 전달 특성 분석을 통한 통화 품질 개선에 관한 연구)

  • Ha, Jeung-Uk;Oh, Tae-Hoon;Kang, Jin-Seok;Yoon, Young-Joong
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.19 no.4
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    • pp.470-476
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    • 2008
  • In this paper, we describe the cause of TDMA noise and distinction method of TDMA noise source in a GSM mobile phone. The causes of TDMA noise are composed of RF(Radio Frequency) energy coupling and low frequency energy coupling by burst ripple. We propose the distinction method of TDMA noise source from output(TDMA noise measurement) and frequency response of a system(audio path). Especially we propose a method of insertion loss($S_{21}$) analysis and the improvement method for RF energy coupling. Capacitor(40 pF) is a solution to reduce RF energy coupling and therefore TDMA noise was reduced by 10 dB.

Optimization Numeral Recognition Using Wavelet Feature Based Neural Network. (웨이브렛 특징 추출을 이용한 숫자인식 의 최적화)

  • 황성욱;임인빈;박태윤;최재호
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.94-97
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    • 2003
  • In this Paper, propose for MLP(multilayer perception) neural network that uses optimization recognition training scheme for the wavelet transform and the numeral image add to noise, and apply this system in Numeral Recognition. As important part of original image information preserves maximum using the wavelet transform, node number of neural network and the loaming convergence time did size of input vector so that decrease. Apply in training vector, examine about change of the recognition rate as optimization recognition training scheme raises noise of data gradually. We used original image and original image added 0, 10, 20, 30, 40, 50㏈ noise (or the increase of numeral recognition rate. In case of test image added 30∼50㏈, numeral recognition rate between the original image and image added noise for training Is a little But, in case of test image added 0∼20㏈ noise, the image added 0, 10, 20, 30, 40 , 50㏈ noise is used training. Then numeral recognition rate improved 9 percent.

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An Active Noise Canceller with Blind Source Separation (Blind 신호원 분류를 갖는 능동 소음 제거기)

  • Sohn Jun-il;Lee Minho
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.109-112
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    • 1999
  • 본 연구에서는 신호원에 대한 사전 정보 없이 혼합된 신호로부터 잡음 신호만을 선택적으로 제거할 수 있는 새로운 형태의 능동 소음 제거기(Active noise canceller)를 제안한다. 음성신호와 같은 독특성을 갖는 신호의 분리에 효과적으로 사용되는 동적 재귀 신경망 (Dynamic recurrent neural network)을 원하는 신호원에 섞인 잡음신호를 분리하여 선택적으로 제거하기 위한 능동소음제거기의 전처리기로 미용한다. 능동 소음 제거기는 분리된 잡음 신호에 대한 역 위상 신호를 적응적으로 발생함으로써 특정 위치에서 원하는 신호만을 선택적으로 남길 수 있도록 한다. 컴퓨터를 이용한 시뮬레이션에서는 제안된 시스템이 선택적인 소음제거에 효과적임을 보인다.

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An Active Noise Canceller with Blind Source Separation (Blind 신호원 분류를 갖는 능동 소음 제거기)

  • 손준일;이민호
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.6
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    • pp.3-8
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    • 1999
  • In this paper, we propose a new active noise control system that cancels the only noise signal from the mixture selectively. A blind source separation realized by a dynamic recurrent neural network is used as a preprocessor of the active noise control system and separates the desired signal and the noise signal. The active noise control system adaptively generates an anti-noise signal to remove the only noise signal separated by the blind source separation. Computer simulation results show that the proposed scheme is effective to construct a selective attention system.

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Correlation between the distribution of cultural noise source and MT data (인공잡음원의 공간분포와 MT자료의 상관관계)

  • Lee Choon-Ki;Lee Heuisoon;Kwon Byung-Doo
    • 한국지구물리탐사학회:학술대회논문집
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    • 2005.05a
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    • pp.209-214
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    • 2005
  • In the present age, the quality of MT(magnetotellurics) data highly depends on the level of industrial interference in data. We analyzed the correlation between the spatial distributions of man-made EM noise source and the characteristics of MT data. The noise source analysis shows the correlation between the noise source density and the power spectral density of measured magnetic field in the frequency band of 60 Hz harmonics. In the MT 'dead band', the strong polarization observed on the magnetic field reveals that the severe artificial noises are caused by the adjacent metropolis.

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The Noise Environment on Subscriber Loop and it′s Effects on the ADSL Services (가입자 통신회선에서의 잡음특성 및 ADSL 전송성능에의 영향)

  • 오호석;홍상기
    • Proceedings of the Korea Electromagnetic Engineering Society Conference
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    • 2000.11a
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    • pp.211-215
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    • 2000
  • 가입자망의 대다수를 차지하는 동케이블(copper cable)을 이용한 고속데이터 서비스가 증가, 발전하고 있는데 전송로상에서의 낙뢰, 전력유도 등 외부 전자기적 환경에 의해 통신회선에 잡응이 발생하고 이러한 잡음은 고속데이터서비스의 전송풀질에 영향을 미치게 된다. 본 고에서는 가입자 통신회선에서 나타나는 잡음분포를 분석하고 ADSL 서비스에 있어 전송속도와의 관계를 보였다. 주로 AM방송주파수가 주요 잡음원으로 나타났으며, 전송속도는 배경잡음 및 방송주파수와 매우 밀접한 관계를 보인다.

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Measurement of Noise Parameters Using 6-Port Network (Invited Paper) (6-포트 회로망을 이용한 잡음 파라미터 측정)

  • Yeom, Kyung-Whan;Ahmed, Abdule-Rahman
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.26 no.2
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    • pp.119-126
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    • 2015
  • The information about noise parameters is essential in the design of low noise amplifier. In the past, the noise parameters were measured using an impedance tuner and noise figure analyzer. Recently, the authors proposed the method of measuring the noise parameters using the 8-port network without the aid of the mechanically driven impedance tuner. However, the 8-port method still requires the noise source and causes the complexity in the measurements. In this paper, a novel measurement method of the noise parameters without the noise source using 6-port network is proposed. Based on the proposed 6-port method, the noise parameters of 10 dB attenuator whose noise parameters can be theoretically determined were measured and the measured noise parameters are compared with those measured using the previous 8-port network method. As a result, the accuracy of the measured noise parameters using 6-port network is found to be comparable to the previous 8-port network method.