• 제목/요약/키워드: signal and noise

검색결과 6,706건 처리시간 0.033초

Order Tracking without a Tacho Signal - A new Method and Its Applicability for Rotating Machinery Diagnostics

  • Pedersen, Thorkiid Find;Konstantin-Hansenf, Hans
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계학술대회논문집
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    • pp.271-274
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    • 2005
  • For noise and vibration order-analysis on rotating machinery, it is compulsory to measure the RPM of the rotating part of the machine. Normally the RPM is measured using dedicated tacho-probes. In this paper we describe a new method that in real-time synthesizes a tacho signal from the measured noise or vibration signal thus eliminating the tacho probe. The method strengths and weaknesses are evaluated on practical signals.

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길쌈부호를 사용한 Embedded DPCM 방식에 관한 연구 (A Study on an Embedded DPCM with Convolutional Coding)

  • 임종수;이상곤;문상재
    • 전자공학회논문지A
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    • 제28A권1호
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    • pp.1-7
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    • 1991
  • Degradation of communication quality is due to transmission error rather than quantization noise when DPCM signal is transmitted over a heavily noise channel. The communication quality can be improved by employing an error correcting code to the DPCM signal transmission over such a channel. We considered both quantization noise and transmission error simultaneously in evaluating the signal to noise ratio. To efficiently improve the signal to noise ratio, we analyze the unequal symbol error probability of convolutional code, and encoded to more protect significant symbols from channel errors than least ones, so that the signal to noise ratio is improved. We derived related formulas and also made computer simulations.

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적응디지털필터를 사용한 음질향상 방법 (A New Speech Enhancement Method Using Adaptive Digital Filter)

  • 임용훈;김완구;차일환;윤대희
    • 전자공학회논문지B
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    • 제30B권10호
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    • pp.35-41
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    • 1993
  • In this paper, a new speech enhancement method for speech signal corrupted by environmental noise is proposed. Two signals are obtained from the microphone and from the accelerometer attached to the neck, respectively. Since two signals are generated from same source signal, both signals are closely correlated. And environmental noise has no effect on the accelerometer signal. The speech enhancement system identifies the optimum linear system between two signals on the basis of the dependence between the signals. The enhanced speech can be obtained by filtering the noise-free accelerometer signal. Since the characteristcs of the speech signal and environmental noise are changing with time, adaptive filtering system has to be used for characterizing the time-varing system. Simulation results show 7dB enhancement with 0dB speech signal level relative to the white noise.

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심리음향모델에 근거한 잡음 형상화 (Noise Shaping Based on Psychoacoustic Model)

  • 이진걸
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2000년도 하계학술발표대회 논문집 제19권 1호
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    • pp.335-336
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    • 2000
  • A psychoacoustic model based noise shaping method is proposed, where noise's presence with a host signal will not be perceptually noticeable. The derivation of imperceptible noise levels from the masking thresholds of the signal involves a deconvolution associated with the spreading function in the psychoacoustic model, which results in an ill-conditioned problem. In this paper, the problem is formulated as a constrained optimization, and it is demonstrated that the solution provides noise shaping where the noise excitation level conforms to the masking thresholds of the signal.

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교통소음의 모노럴과 바이노럴 청감 비교 연구 I: 측정 및 분석 (Comparison of Human Responses to Transportation Noise in Monaural and Binaural Hearing, Part I: Measurement and Analysis)

  • 김재환;임창우;정원태;홍지영;정완섭;이수갑
    • 한국소음진동공학회논문집
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    • 제14권12호
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    • pp.1268-1278
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    • 2004
  • Measurement of noise is not only to know the information of acoustic pressure but to assess human response to noise. To find human response to transportation noise through the laboratory study we have to measure and reproduce noise. The method of noise reproduction is largely divided into monaural and binaural techniques. But human fundamentally hears sound through both ears, referred as binaural hearing. Binaural signal is different from monaural signal because it includes more information of physical phenomena like acoustical reflection, diffraction and refraction. Especially head and pinna play an important role in perceiving change of signal origin. So, the amplitude of binaural signal is higher than that of monaural signal and spectrum of both signals is discriminated. Most of assessment and regulation of transportation noise are, however, based on monaural measurement techniques. The quantitative difference between monaural and binaural measurement is investigated in this study. Comparison on several transportation noisesshows defect of information in monaural measurements.

Inductive Switching Noise Suppression Technique for Mixed-Signal ICs Using Standard CMOS Digital Technology

  • Im, Hyungjin;Kim, Ki Hyuk
    • Journal of information and communication convergence engineering
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    • 제14권4호
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    • pp.268-271
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    • 2016
  • An efficient inductive switching noise suppression technique for mixed-signal integrated circuits (ICs) using standard CMOS digital technology is proposed. The proposed design technique uses a parallel RC circuit, which provides a damping path for the switching noise. The proposed design technique is used for designing a mixed-signal circuit composed of a ring oscillator, a digital output buffer, and an analog noise sensor node for $0.13-{\mu}m$ CMOS digital IC technology. Simulation results show a 47% reduction in the on-chip inductive switching noise coupling from the noisy digital to the analog blocks in the same substrate without an additional propagation delay. The increased power consumption due to the damping resistor is only 67% of that of the conventional source damping technique. This design can be widely used for any kind of analog and high frequency digital mixed-signal circuits in CMOS technology

Blind Signal Processing for Medical Sensing Systems with Optical-Fiber Signal Transmission

  • Kim, Namyong;Byun, Hyung-Gi
    • 센서학회지
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    • 제23권1호
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    • pp.1-6
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    • 2014
  • In many medical image devices, dc noise often prevents normal diagnosis. In wireless capsule endoscopy systems, multipath fading through indoor wireless links induces inter-symbol interference (ISI) and indoor electric devices generate impulsive noise in the received signal. Moreover, dc noise, ISI, and impulsive noise are also found in optical fiber communication that can be used in remote medical diagnosis. In this paper, a blind signal processing method based on the biased probability density functions of constant modulus error that is robust to those problems that can cause error propagation in decision feedback (DF) methods is presented. Based on this property of robustness to error propagation, a DF version of the method is proposed. In the simulation for the impulse response of optical fiber channels having slowly varying dc noise and impulsive noise, the proposed DF method yields a performance enhancement of approximately 10 dB in mean squared error over its linear counterpart.

GPS 재방송 재밍신호 검출을 위한 통합 의사잡음신호를 사용한 확장된 ELP 기법 (Extended Early-Late Phase Scheme using Combined Pseudo-Random Noise Signal to Detect GPS Repeat-Back Jamming Signals)

  • 유승수;염동진;지규인;김선용
    • 제어로봇시스템학회논문지
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    • 제22권6호
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    • pp.483-489
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    • 2016
  • This paper proposes a repeat-back jamming signal detection scheme that utilizes a combined pseudo random noise signal that is effective for processing a global positioning system (GPS) repeat-back jamming signal with the early minus late phase scheme to alleviate any existing multipath signal detection. The proposed scheme uses the combined pseudo random noise signal to treat repeat-back jamming signals like similar multipath signals and can effectively detect a repeat-back jamming signal by applying the early minus late phase scheme to a combined pseudo random noise signal. Through a Monte-Carlo simulation, the detection probability of the proposed scheme is better than the one of the conventional scheme under low jamming to signal power ratio.

웨이브렛과 원소 편차 기반의 중간값 필터를 이용한 잡음제거 알고리즘 (Denoising Algorithm using Wavelet and Element Deviation-based Median Filter)

  • 배상범;김남호
    • 한국정보통신학회논문지
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    • 제14권12호
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    • pp.2798-2804
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    • 2010
  • 음성 및 영상신호는 신호를 처리하는 과정에서 다양한 잡음에 의해 훼손되어지며, 이러한 신호를 복원하기 위한 많은 연구가 이루어지고 있다. 본 논문에서는 음성신호와 같은 1차원 신호에 복합적으로 중첩된 가우시안 잡음과 임펄스 잡음을 제거하기 위한 알고리즘을 제안하였다. 알고리즘은 임펄스 잡음을 제거한 후, 가우시안 잡음을 제거 하도록 구성되어져 있으며, 가우시안 잡음을 제거하기 위해 웨이브렛 계수 누적을 이용하였고, 임펄스 잡음을 제거하기 위해 원소 편차에 기반한 중간값 필터를 적용하였다. 그리고 개선 효과의 판단 기준으로 SNR을 사용하였으며, 객관적인 판단을 위해 기존의 방법들과 비교하였다.

문턱치에 따른 잡음제거 분석 (Analysis of De-noising by Thresholding)

  • 서정익;박은규
    • 한국정보컨버전스학회논문지
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    • 제6권2호
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    • pp.45-49
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    • 2013
  • 다른 생체신호와 마찬가지로 심전도(ECG) 신호도 측정시 백색잡음이 발생한다. 백색잡음을 효과적으로 제거하여 심장 관련 진단의 정확도를 높이고자 하였다. 심전도 신호에 백색잡음을 발생시켜 샘플링 신호를 만들었다. 웨이블릿 변환과 문턱치를 이용하여 잡음을 제거하였다. 신호대잡음비(SNR)를 이용하여 제거된 잡음을 수치적으로 비교하였다. 신호대잡음비 비교한 결과 SURE 방법은 3, 5dB에서 5.9531, 4.9301로 가장 좋은 결과를 나타내었고, uninversal 방법은 7, 9dB에서 3.6590, 1.9698로 가장 좋은 결과를 나타내었다. 문턱치를 이용한 잡음 제거시 잡음을 효과적으로 제거할 수 있었다. 심전도를 이용한 심장질환 진단에 정확도를 높일 수 있을 것으로 기대된다.

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