• Title/Summary/Keyword: Spectrum Estimation

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Performance Test of Parabolic Type Equilibrium Shoreline Formula Using Wave Data Observed in East Sea (동해 파랑관측 자료를 활용한 포물선형 평형해안선 식의 타당성 조사)

  • Lim, Chang Bin;Lee, Jung Lyul
    • Journal of Ocean Engineering and Technology
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    • v.32 no.2
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    • pp.123-130
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    • 2018
  • The present study investigated the validity of an equilibrium shoreline empirical formula for real phenomena. Among three types of equilibrium shoreline formulas, Hsu's parabolic type static formula was employed, which is well-known and the most practical for shoreline estimation after coastal or harbor structure construction. The wave data observed at Maengbang beach and the CERC formula on longshore sediment transport were used in the present investigation. A comparison study was only conducted for the case of a shoreline change after the construction of a groyne. Reasonable agreement was seen between the observed wave data and the data obtained under a wave angle spreading function S = 3.5. However, significant changes were observed when S increased. Thus, careful application is required when using Hsu's formula.

GPS Output Signal Processing considering both Correlated/White Measurement Noise for Optimal Navigation Filtering

  • Kim, Do-Myung;Suk, Jinyoung
    • International Journal of Aeronautical and Space Sciences
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    • v.13 no.4
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    • pp.499-506
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    • 2012
  • In this paper, a dynamic modeling for the velocity and position information of a single frequency stand-alone GPS(Global Positioning System) receiver is described. In static condition, the position error dynamic model is identified as a first/second order transfer function, and the velocity error model is identified as a band-limited Gaussian white noise via non-parametric method of a PSD(Power Spectrum Density) estimation in continuous time domain. A Kalman filter is proposed considering both correlated/white measurements noise based on identified GPS error model. The performance of the proposed Kalman filtering method is verified via numerical simulation.

Estimation of Vibration Source and Sound Radiation of a Refrigerator Fan by using Measured Acceleration Signals (가속도 측정신호를 이용한 냉장고 홴의 진동원과 방사소음의 예측)

  • Jung, Byung-Kyoo;Jeong, Weui-Bong
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.21 no.9
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    • pp.834-841
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    • 2011
  • Obtaining the real exciting force is important for the analysis of structural vibration or sound radiation to represent the actual condition. But in most cases, it is so difficult to get the actual force signals by direct measurement using sensors due to complex geometry. This paper suggests advanced source identification method which can be applied to the prediction of radiated noise considering correlations between measured signals. This method was implemented to the identification of the fan force in the refrigerator. The analysis of structural vibration and radiated noise caused by the fan force was also performed. The comparison between predicted SPL and measured SPL of the radiated noise by the refrigerator fan showed good agreement.

Detection of Rotating Speed of Induction Motor Using the Rotor Slot Harmonic (회전자 슬롯 고조파를 이용한 유도전동기의 회전속도 검출)

  • Yang, Chul-Oh;Lee, Gyeong-Seok;Lee, Dae-Sung;Parkk, Kyu-Nam;Song, Myung-Hyun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.2077-2078
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    • 2011
  • Now a days, the induction motor is widely used in industry automation. Without monitoring the motor fault, maintenance cost is increased undesirably high. The slip frequency is included in the feature frequency, so rotating rotor speed is needed. In this paper, a sensorless motor speed estimation method, rotor slot harmonic(RSH) method is suggested and a solution of rotor bar diagnosis is proposed for motor running with light-load. When the rotor is rotating, it shows the harmonic signal of back-emf voltage related with number of rotor slot. So from the power spectrum of current signal, we can find the rotor speed.

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Performance Analysis of Noisy Speech Recognition Depending on Parameters for Noise and Signal Power Estimation in MMSE-STSA Based Speech Enhancement (MMSE-STSA 기반의 음성개선 기법에서 잡음 및 신호 전력 추정에 사용되는 파라미터 값의 변화에 따른 잡음음성의 인식성능 분석)

  • Park Chul-Ho;Bae Keun-Sung
    • MALSORI
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    • no.57
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    • pp.153-164
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    • 2006
  • The MMSE-STSA based speech enhancement algorithm is widely used as a preprocessing for noise robust speech recognition. It weighs the gain of each spectral bin of the noisy speech using the estimate of noise and signal power spectrum. In this paper, we investigate the influence of parameters used to estimate the speech signal and noise power in MMSE-STSA upon the recognition performance of noisy speech. For experiments, we use the Aurora2 DB which contains noisy speech with subway, babble, car, and exhibition noises. The HTK-based continuous HMM system is constructed for recognition experiments. Experimental results are presented and discussed with our findings.

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A Study of Flow Induced Noise for Multilayered Cylinder due to Turbulent Boundary Layer (난류경계층에 의한 다층재질 원통형 실린더의 유체소음 해석 연구)

  • 신구균;홍진숙;이헌곤
    • Journal of KSNVE
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    • v.6 no.5
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    • pp.671-677
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    • 1996
  • This paper presents the analytical method for predicting turbulence- induced noise in the multilayered cylinder composed of an outer hose, an inner fluid and an internal core. It is assumed that an infinite axisymmetric cylinder is located horizontally in water with free stream velocity and the turbulent boundary layer (TBL) surrounding the outer hose is fully developed and homogeneous. The transfer function at the core surface due to the propagation of the pressure fluctuation within the TBL is formulated using the linearized Navier-Stockes equation for solid and fluid. In the estimation of the energy spectrum of wall pressure fluctuation, the empirical formula proposed by Strawderman based on the Corcos model is used. A general algorithm for the calculation of the pressure level at the surface of a core, that is, turbulence- induced noise, is presented. Through the detailed numerical simulation, it is found that the major noise mechanism is the propagation of the bulge wave along hose.

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Active Sonar Target/Nontarget Classification Using Real Sea-trial Data (실제 해상 실험 데이터를 이용한 능동소나 표적/비표적 식별)

  • Seok, J.W.
    • Journal of Korea Multimedia Society
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    • v.20 no.10
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    • pp.1637-1645
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    • 2017
  • Target/Nontarget classification can be divided into the study of shape estimation of the target analysing reflected echo signal and of type classification of the target using acoustical features. In active sonar system, the feature vectors are extracted from the signal reflected from the target, and an classification algorithm is applied to determine whether the received signal is a target or not. However, received sonar signals can be distorted in the underwater environments, and the spatio-temporal characteristics of active sonar signals change according to the aspect of the target. In addition, it is very difficult to collect real sea-trial data for research. In this paper, target/non-target classification were performed using real sea-trial data. Feature vectors are extracted using MFCC(Mel-Frequency Cepstral Coefficients), filterbank energy in the Fourier spectrum and wavelet domain. For the performance verification, classification experiments were performed using backpropagation neural network classifiers.

A Study on Estimation of Formant and Articulatory Motion using RLSL Adaptive Linear Prediction Filter (RLSL 적응선형예측필터를 이용한 형성음 및 조음운동 궤적 추정에 관한 연구)

  • Kim, Dong-Jun;Song, Young-Soo;Yoon, Tae-Sung;Park, Sang-Hui
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.05
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    • pp.163-166
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    • 1992
  • In this study, the extractions of formant and articulately motion trajectorles from Korean diphthongs are performed by using the RISL adaptive linear prediction filter. This enables us to extract spectrum transition of speech signal accurately. This study showes that the RISL algorithm is superior to the Levinson algorithm, specially in transition part of speech.

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A Study on a New Pre-emphasis Method Using the Short-Term Energy Difference of Speech Signal (음성 신호의 다구간 에너지 차를 이용한 새로운 프리엠퍼시스 방법에 관한 연구)

  • Kim, Dong-Jun;Kim, Ju-Lee
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.12
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    • pp.590-596
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    • 2001
  • The pre-emphasis is an essential process for speech signal processing. Widely used two methods are the typical method using a fixed value near unity and te optimal method using the autocorrelation ratio of the signal. This study proposes a new pre-emphasis method using the short-term energy difference of speech signal, which can effectively compensate the glottal source characteristics and lip radiation characteristics. Using the proposed pre-emphasis, speech analysis, such as spectrum estimation, formant detection, is performed and the results are compared with those of the conventional two pre-emphasis methods. The speech analysis with 5 single vowels showed that the proposed method enhanced the spectral shapes and gave nearly constant formant frequencies and could escape the overlapping of adjacent two formants. comparison with FFT spectra had verified the above results and showed the accuracy of the proposed method. The computational complexity of the proposed method reduced to about 50% of the optimal method.

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Measurement Method of Ultrasonic Velocity by Correction of Non-Linear Propagation Delay (비선형 전파지연의 보정에 의한 음속의 측정법)

  • Ko, Duck-Young;Choi, Jong-Ho;Lee, Jong-Arc
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.7
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    • pp.98-105
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    • 1989
  • To characterize the biological tissue, the new method to measure the ultrasonic velocity is presented in this paper. The influence of the dispersion effect on the estimation of the ultrasonic velocity is mostly neglected. A more efficient method determining the minimum phase spectrum is developed to characterize the frequency dispersion form the spectral magnitude function. To eliminate the frequency dispersion, the signal-decomposition method is also proposed. Computer simulations are performed to verify the algorithms.

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