• Title/Summary/Keyword: 백색 잡음

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Simple Lower Bound for MPSK Symbol Error Probability (M진 위상 천이 변조 심볼 오류 확률의 간단한 하한식)

  • 윤동원
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.11 no.3
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    • pp.352-357
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    • 2000
  • The symbol error probability for the coherent detection of MPSK signals in additive white Gaussian noise(AWGN) can be evaluated exactly for M=2 and M=4. The MPSK symbol error probability bounds obtained in the past are simple to calculate, but not accurate. More recently, very tight bounds have been proposed, but they are complex to calculate. In this paper to obtain a simple and accurate lower bound for coherent MPSK symbol error probability in AWGN, we consider the symbol error probability for MPSK in Nakagami fading case first. Then as the Nakagami fading index m approaches to infinity, we obtain the symbol error probability for the MPSK in AWGN.

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Speech/Silence Discrimination of Noisy Speech (잡음이 섞인 음성에서의 음성/무언의 구별)

  • 은종관;김현수
    • The Journal of the Acoustical Society of Korea
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    • v.3 no.1
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    • pp.36-42
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    • 1984
  • 본 논문에서는 음성이 백색 Gaussian 잡음에 섞여 있을 때 음성의 유무를 구별하는 방법에 관해 서 연구되었다 제안된 방법은 음성과 무언이 입력신호의 에너지와 자기상관함수의 합에 의해서 구별된 다. 에너지의 threshold 치는 입력되는 잡음음성의 에너지와 자기상관함수를 비교함으로써 적응되도록 하였다. 이 방법을 시험하기 위해서 잡음이 없는 음성, 0, 10, 및 20 dB의 잡음이 섞인 음성을 사용하여 computer simulation을 하였다. SNR이 20dB일 때 구별의 오차율은 2%로 나왔다.

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Analysis on random vibration of a non-linear system in flying vehicle due to stochastic disturbances (불규칙 교란을 받는 비행체에 장착된 비선형 시스템의 난진동 해석)

  • 구제선
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.14 no.6
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    • pp.1426-1435
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    • 1990
  • Dynamic behaviour of point tracking system mounted on flying vehicle shaking in a random manner is investigated and the system dynamic is represented by nonlinear stochastic equations. 2-D.O.F. nonlinear stochastic equations are successfully transformed to linear stochastic equations via equivalent linearization procedure in stochastic sense. Newly developed hybrid technique is used to obtain response statistics of the system under non-white random excitation, which is proved to be remarkably accurate one by performing stochastic simulation.

Robust Code Acquisition System in Rayleigh Fading Channel (Rayleigh 페이딩 채널에서 강인한 동기 획득 시스템)

  • 장경운;김기채;박용완
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.11 no.5
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    • pp.723-730
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    • 2000
  • In this paper, we perform a performance analysis of serial acquisition scheme using AWGN rejection filter in Rayleigh fading channel and propose robust acquisition scheme using Reference filter, which is utilized to vary threshold at fading rate, in Rayleigh fading channel. AWGN rejection filter is utilized to evaluate running average for compensating channel gain. The JAKE model, which a channel model, is used for the analysis. The simulation result shows that the mean acquisition time of the proposed acquisition system is minimized than acquisition system using AWGN rejection filter and serial-search acquisition system.

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Echo and Noise Reduction Using Modifed AP Algorithm Combined with Linear Predictor (선형예측기와 개선된 AP(affine projection) 알고리즘을 결합한 반향 및 잡음 제거)

  • Kim, Hyun-Tae;Do, Jin-Gyu;Park, Jang-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.839-842
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    • 2010
  • In this paper, we propose a residual echo and noise reduction scheme for hands-free telephony applications. The proposed algorithm uses a noise robust modified AP algorithm which estimate well echo path in noisy and whitens residual echo signal using linear prediction at non double-talk duration. It is confirmed that the proposed algorithm shows better performance from acoustic interference cancellation (AIC) viewpoint.

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The Hearing Ability of Black Rockfish Sebastes inermis to Underwater Audible Sound 2. The Auditory Critical Ratio (수중 가청음에 의한 볼락의 청각 능력 2. 청각 임계비)

  • LEE Chang-Heon;SEO Du-Ok
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.34 no.2
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    • pp.151-155
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    • 2001
  • In order to obtain the fundamental data on the auditory thresholds of fishes for marine ranching, the auditory thresholds of black rockfish Sebastes inermis were measured in the presence of masking noise in the spectrum level range of $73\~83$ dB (0 dB re $1{\mu}Pa/\sqrt{Hz}$) with a classical cardiac conditioning technique. Critical ratios were about $28\~34$ dB at $80\~300$ Hz and $47\~52$ dB at $500\~800$ Hz. The ratio increased almost linearly with increasing frequency to 500 Hz. The noise spectrum level at the start of masking was about 70 dB within the frequency range of $80\~800$ Hz excepting 65 dB at 300 Hz. It means that hearing of the black rockfish is masked in the natural environment with the noise spectrum level above 65 dB. The sound pressure level of $200\~300$ Hz recognized by black rockfish was above 96 dB under the ambient noise and the critical ratio of them was above 26 dB.

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The Auditory Critical Ratio of the Black Rock Fish Sebastes Schlegeli (조피볼락의 청각 임계비)

  • Park, Yong-Seok;Lee, Chang-Heon;Kim, Ko-Hwan;Seo, Du-Ok
    • Journal of Fisheries and Marine Sciences Education
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    • v.12 no.1
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    • pp.1-10
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    • 2000
  • In order to obtain the fundamental data on the auditory thresholds of fishes for marine ranching, the auditory thresholds of black rock fish Sebastes Schlegeli were measured in the presence of masking noise in the spectrum level range of 73 - 83dB (0dB re $1{\mu}Pa/{\sqrt{Hz}}$) with a classical cardiac conditioning technique. Critical ratios were about 19 - 30dB at 80 - 300Hz and 46 - 54dB at 500 - 800Hz. The ratio increased almost linearly with increasing frequency to 500Hz. The noise spectrum level at the start of masking was about 70dB within the frequency range of 80 - 800Hz excepting 65dB at 300Hz. This suggests that hearing of the black rock fish is masked in the natural environment with the noise spectrum level above 65dB. The sound pressure level of which the signal sound of 100 - 200Hz is recognized by black rock fish under the ambient noise is above 90dB and the critical ratio of them is above 20dB.

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An Application of the Kalman Filter for Attenuation of Colored Noise Superimposed on Speech Signal (칼만필터를 이용한 음성신호에 중첩된 유색잡음의 감쇠)

  • Gu, Bon-Eung
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.2
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    • pp.76-85
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    • 1994
  • A speech enhancement algorithm which attenuates nonstationary colored noise is presented In this paper. The algorithm consists of a stationary Kalman filter and the simple speech/nonspeech detector. While the conventional enhancement systems are focused on a stationary and/or white background noise, this study Is focused on the mort realistic nonstationary and nonwhite noise. An AR model-based vector Kalman filter is used as a noise suppression system and a short-time energy threshold logic is used as a speech/nonspeech classifier. For Kalman filtering. noise coefficients are estimated in the nonspeech frame, and speech coefficients are estimated by applying the EM iteration algorithm. Simulation results using the car noise are presented based on the signal-to-noise ratio and informal listening tests. According to the experimental results, background noises in the nonspeech frames are eliminated almost completely, while some distortions are noticed in the speech frames. The distortion becomes severer as the SNR is reduced to 0dB and -5dB. Intelligibility, however, is not degraded significantly.

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An Effective Selection of white Gaussian Noise Sub-band using Singular Value Decomposition (특이값 분해를 이용한 효율적인 백색가우시안 잡음대역 선정 방법)

  • Shin, Seung-Min;Kim, Young-Soo;Kim, Sang-Tae;Suk, Mi-Kyung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.3A
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    • pp.272-280
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    • 2009
  • Measurement of the background radio noise is very important process being used in survey of radio noise environment, calculating the threshold level for the frequency occupancy measurement and so forth. First step of background radio noise measurement is to select the sample sub-band which is mostly dominated by the background white Gaussian noise (WGN) within the target band. The second step is to carry out the main measurement of radio noise on this selected sample sub-band for the representative value of the noise power. In this paper, a method for selection of sample sub-band for the effective background radio noise measurement using SVD is proposed under the assumption that background radio noise is WGN. The performance of the proposed method is compared with that of the APD method which is widely used for the same purpose. Simulation results are shown to demonstrate the high performance of the proposed method in comparison with the existing APD method.

Signal Processing for Speech Recognition in Noisy Environment (잡음 환경에서 음성 인식을 위한 신호처리)

  • Kim, Weon-Goo;Lim, Yong-Hoon;Cha, Il-Whan;Youn, Dae-Hee
    • The Journal of the Acoustical Society of Korea
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    • v.11 no.2
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    • pp.73-84
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    • 1992
  • This paper studies noise subtraction methods and distance measures for speech recognition in a noisy environment, and investigates noise robustness of the distance measures applied to the problem of isolated word recognition in white Gaussian and colored noise (vehicle noise) environments. Noise subtraction methods which can be used as a pre-processor for the speech recognition system, such as the spectral subtraction method, autocorrelation subtraction method, adaptive noise cancellation and acoustic beamforming are studied, and distance measures such and Log Likelihood Ratio ($d_{LLR}$), cepstral distance measure ($d_{CEP}$), weighted cepstral distance measure ($d_{WCEP}$), spectral slope distance measure ($d_{RPS}$) and cepstral projection distance measure ($d_{CP},\;d_{BCP},\;d_{WCP},\;d_{BWCP}$) are also investigated. Testing of the distance measures for speaker-dependent isolated word recognition in a noisy environment indicate that $d_{RPS}\;and\;d_{WCEP}$ which weigh higher order cepstral coefficients more heavily give considerable performance improvement over $d_{CEP}and\;d_{LLR}$. In addition, when no pre-emphasis is performed, the recognizer can maintain higher performance under high noise conditions.

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