• 제목/요약/키워드: Channel Noise

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근거리 레이더용 K대역 다채널 전단 수신기 설계 및 제작 (Design and Fabrication of K-band multi-channel receiver for short-range RADAR)

  • 김상일;이승준;이정수;이복형
    • 한국통신학회논문지
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    • 제37권7A호
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    • pp.545-551
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    • 2012
  • 본 논문에서는 K대역의 신호를 수신하여 저잡음 증폭 및 L대역으로 하향 변환하는 다채널 전단 수신기를 설계 및 제작하였다. 제작된 다채널 전단 수신기는 잡음지수 2.3 dB 이하의 특성을 가지는 GaAs-HEMT 기반의 저잡음 증폭소자, 이미지 성분의 억제를 위한 IR(Image Rejection) Filter, 이미지 성분 억제와 IMD (Intermodulation Distortion) 특성 개선을 위한 IR(Image rejection) 믹서를 포함한다. 제작된 다채널 전단 수신기의 시험결과, 3.8 dB 이하의 잡음지수와 27 dB 이상의 변환이득을 가지며 입력신호 기준 -9.5 dBm 이상의 P1dB(1dB Gain Compression Point) 특성을 나타내었다.

협대역 ISDN을 위한 디지털 시스템 모델링과 통신로 용량의 한계 결정 (A Digital System Modelling for Narrow Band ISDN and A Decision Methodology of Channel Capacity Limitation)

  • 이종현;성태경;신용옥
    • 대한전자공학회논문지
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    • 제25권6호
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    • pp.591-597
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    • 1988
  • In this paper, we have studied a channel capacity affected by noise which produces burst errors in the ISDN(approx 140Kbps) data transmission using a existing PSTN. First, a digital communication system model to apply a subscriber line to a narrow band ISDN channel is presented. Second, the decision methodology of a channel capacity limitation whether the pdf of the noise generated by a waveform synthesizer is Pisson or Laplacian is described. As a result of the simulation, we have obtained that the Poission distributed noise is approached to the Guassian rather than the Laplacian under the same SNR condition.

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Matlab을 이용한 전력선 통신 시뮬레이션 (Simulation for PLC using Matlab)

  • 홍덕표;이진목;최재호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 B
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    • pp.1002-1003
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    • 2006
  • Power line communication: PLC which easy to install at anywhere near outlet for electric machine. PLC uses transmission line for voltage of which is 60 Hz. One of the important thing is the processes of adding signal to power line and extracting the signal from power line, another is to choose the strong modulation method which sends signals to long distance without loosing in PLC channel. but PLC channel have very high and variable noise and attenuation and then it is very hard to transmit optimally between the transmitter and the receiver. AWGN, impulse noise and attenuation are created. To overcome the noise and attenuation. Multi-carrier Modulation methods like as OFDM and DMT which divide the channel into many sub-channel are powerful communication methods for PLC. In this paper, PLC channels are simulated for getting BER by Matlab simulink

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잡음환경에서의 음성인식 성능 향상을 위한 이중채널 음성의 CASA 기반 전처리 방법 (CASA-based Front-end Using Two-channel Speech for the Performance Improvement of Speech Recognition in Noisy Environments)

  • 박지훈;윤재삼;김홍국
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.289-290
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    • 2007
  • In order to improve the performance of a speech recognition system in the presence of noise, we propose a noise robust front-end using two-channel speech signals by separating speech from noise based on the computational auditory scene analysis (CASA). The main cues for the separation are interaural time difference (ITD) and interaural level difference (ILD) between two-channel signal. As a result, we can extract 39 cepstral coefficients are extracted from separated speech components. It is shown from speech recognition experiments that proposed front-end has outperforms the ETSI front-end with single-channel speech.

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다중채널 LMS 알고리즘을 이용한 능동방음벽 구현 (Implementation of Active Noise Barriers Using Multiple Channel LMS Algorithms)

  • 남현도;서성대
    • 조명전기설비학회논문지
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    • 제17권6호
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    • pp.147-153
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    • 2003
  • 본 논문에서는 외부에 위치하는 소음원에 의하여, 창문 등과 같이 부분적인 개구부를 가지는 실내 공간에 소음이 전파될 때, 적응필터를 이용하여 이를 제어하는 능동 방음벽을 구현하였다. 적응필터의 수렴성을 증가시키기 위하여 다중채널 leaky LMS 알고리즘을 사용하였으며 창문 등의 개구부를 통하여 들어오는 소음을 제거하기 위하여 새로운 형태의 능동방음벽을 제안하였다. 기존의 ANC 기법을 이용한 기법과 제안한 기법을 TMS320C33 DSP를 이용한 실험을 통해 비교 분석하였다. 오차 마이크로폰의 위치에서는 ANB가 다소 좋은 결과를 얻었으나 두 경우 모두 비교적 좋은 결과를 얻을 수 있었지만, 전체 위치에서 소음의 감쇄를 소음계를 이용해 측정한 결과 ANB가 훨씬 좋은 결과를 보였다. ANC의 경우 보일러 소음의 경우는 평균적으로 차이가 거의 없었으며 위치에 따라서는 증가하는 곳도 있었으나, ANB의 경우는 단일 소음 및 보일러 소음 모두 증가하는 곳은 한 곳도 없었으며 평균적으로도 ANC의 경우보다 훨씬 좋은 결과를 보였다.

향상된 SVD 필터를 이용한 Multi-lead ECG에서의 EMG 신호 제거 (EMG Signal Elimination Using Enhanced SVD Filter in Multi-Lead ECG)

  • 박광리;박세진;최호선;정기삼;이경중;윤형로
    • 대한전기학회논문지:시스템및제어부문D
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    • 제50권6호
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    • pp.302-308
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    • 2001
  • SVD(Singular Value Decomposition) filter for the suppression of EMG in multi-lead stress ECG is studied. SVD filter consists of two parts. In the first part, the basis vectors were chosen from the averaged singular vectors obtained from the decomposed noise-free ECG. The singular vector is computed from the stress ECG and is compared itself with basis vectors to know whether the noise exist in stress ECG. In the second part, the existing elimination method is used, when one(or two) channels is(or are) contaminated by noise. But the proposed enhanced SVD filter is used in case of having the noise in the many channels. During signal decomposition and reconstruction, the noise-free channel or the least noisy channel have the weight of 1, the next less noisy channel has the weight of 0.8. In this way, every channel was weighted by decreased of 0.2 in proportion to the amount of the added noise. For the evaluation of the proposed enhanced SVD filter, we compared the SNR computed by the enhanced SVD filter with the standard average filter for the noise-free signal added with artificial noise and the patient data. The proposed SVD filter showed better in the SNR than the standard average filter. In conclusion, we could find that the enhanced SVD filter is more proper in processing multi-lead stress ECG.

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On-Line Blind Channel Normalization for Noise-Robust Speech Recognition

  • Jung, Ho-Young
    • IEIE Transactions on Smart Processing and Computing
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    • 제1권3호
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    • pp.143-151
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    • 2012
  • A new data-driven method for the design of a blind modulation frequency filter that suppresses the slow-varying noise components is proposed. The proposed method is based on the temporal local decorrelation of the feature vector sequence, and is done on an utterance-by-utterance basis. Although the conventional modulation frequency filtering approaches the same form regardless of the task and environment conditions, the proposed method can provide an adaptive modulation frequency filter that outperforms conventional methods for each utterance. In addition, the method ultimately performs channel normalization in a feature domain with applications to log-spectral parameters. The performance was evaluated by speaker-independent isolated-word recognition experiments under additive noise environments. The proposed method achieved outstanding improvement for speech recognition in environments with significant noise and was also effective in a range of feature representations.

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자동 2차경로 추정기법을 이용한 안정한 능동소음제어 (Stable Active Noise Control Using Auto-Secondary Path Estimation Techniques)

  • 남현도;서성대
    • 전기학회논문지
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    • 제58권11호
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    • pp.2299-2301
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    • 2009
  • The adaptive IIR filters for active noise control systems are more effective when acoustic feedback exists, but the adaptive IIR filters could be unstable when the filter algorithm is not yet converged. In this paper, auto-secondary path estimation techniques and a stabilizing process for adaptive Multi-Channel Recursive LMS (MCRLMS) filters are developed to improve the stability of multi-channel active noise control systems. Experiments using a TMS320VC33 digital signal processor in a three dimensional enclosure have performed to show the effectiveness of the proposed algorithm.

천해 음향 통신에서 이미지 향상을 위한 디노이징 오토인코더의 성능 평가 (Performance of Denoising Autoencoder for Enhancing Image in Shallow Water Acoustic Communication)

  • Jeong, Hyun-Soo;Lee, Chae-Hui;Park, Ji-Hyun;Park, Kyu-Chil
    • 한국정보통신학회논문지
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    • 제25권2호
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    • pp.327-329
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    • 2021
  • Underwater acoustic communication channel is influenced by environmental parameters such as multipath, background noise and scattering. Therefore, a transmitted signal is influenced by the sea surface and the sea bottom boundaries, and a received signal shows a delay spread. These factors create a noise in the image and degrade the quality of underwater acoustic communication. To solve these problems, in this paper, we evaluate the performance of an underwater acoustic communication model using a denoising auto-encoder used for unsupervised learning. Noise images generated by the underwater multipath channel were collected and used as training data. Experimental results were analyzed as a PSNR parameter that expressed the noise ratio of the two images.

FXLMS 알고리듬을 이용한 사각밀폐공간의 능동소음제어 (Active Noise Control of a Closed Rectangular Cavity Using FXLMS Algorithms)

  • 류경완;홍진숙;신창주;정의봉
    • 한국소음진동공학회논문집
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    • 제21권11호
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    • pp.983-990
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    • 2011
  • This paper investigates active noise control(ANC) of a rectangular cavity using single channel filtered-x least mean square(FXLMS) algorithms to globally reduce the interior noise. To obtain the global reduction of the interior noise, multichannel active control should be incorporated in general. We, however, examined firstly the optimal location of the secondary source that produces a global reduction of the interior noise field using single channel control. We then investigated the frequency characteristics of the reduction to yield the effective frequency band of the active control system. It follows that the secondary source should be located as close to the primary source as possible in order to obtain the global reduction.