• 제목/요약/키워드: background estimate

검색결과 726건 처리시간 0.024초

Single-Channel Non-Causal Speech Enhancement to Suppress Reverberation and Background Noise

  • Song, Myung-Suk;Kang, Hong-Goo
    • 한국음향학회지
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    • 제31권8호
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    • pp.487-506
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    • 2012
  • This paper proposes a speech enhancement algorithm to improve the speech intelligibility by suppressing both reverberation and background noise. The algorithm adopts a non-causal single-channel minimum variance distortionless response (MVDR) filter to exploit an additional information that is included in the noisy-reverberant signals in subsequent frames. The noisy-reverberant signals are decomposed into the parts of the desired signal and the interference that is not correlated to the desired signal. Then, the filter equation is derived based on the MVDR criterion to minimize the residual interference without bringing speech distortion. The estimation of the correlation parameter, which plays an important role to determine the overall performance of the system, is mathematically derived based on the general statistical reverberation model. Furthermore, the practical implementation methods to estimate sub-parameters required to estimate the correlation parameter are developed. The efficiency of the proposed enhancement algorithm is verified by performance evaluation. From the results, the proposed algorithm achieves significant performance improvement in all studied conditions and shows the superiority especially for the severely noisy and strongly reverberant environment.

Influence of Offspring on Quality of Life among Cancer Patients and Survivors: Results from the Korean Longitudinal Study of Aging (KLoSA), 2008-2011

  • Kim, Jae-Hyun;Park, Eun-Cheol
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권23호
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    • pp.10531-10537
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    • 2015
  • Background: To examine whether offspring improve or reduce quality of life (QOL) among cancer patients and survivors. Materials and Methods: We used data from the Korean Longitudinal Study of Aging (KLoSA) from 2008 to 2011. There were 490 research subjects in our study: 245 cancer patients and survivors and 245 controls matched using propensity scores. Results: For cancer patients and survivors with no offspring, the QOL estimate was -2.831 lower (SE: 5.508, p-value: 0.623) than that of those with two offspring, while for those with five or more offspring, the QOL estimate was 7.336 higher (SE: 2.840, p-value: 0.036). For non-cancer patients and survivors with one child, the QOL estimate was -11.258 lower (SE: 2.430, p-value: 0.002) than that of those with two offspring, while for those with five or more offspring, the QOL estimate was -4.881 lower (SE: 2.484, p-value: 0.090). Conclusions: This article provides evidence for a beneficial effect of offspring upon QOL in cancer patients and survivors, indicating that offspring are important for them.

에어로졸의 배경농도 산정기법에 관한 연구 (On the Determination Method of Background Aerosol Concentration)

  • 허정화;김상우;윤순창;김지형;김만해;김유미
    • 대기
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    • 제23권4호
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    • pp.501-511
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    • 2013
  • In this study, we estimate the background concentration of black carbon (BC) mass concentration measured at Gosan Climate Observatory from January 2008 to December 2011 by applying six methods: (1) Mean and Median (2) Trimmed mean method deployed in Interagency Monitoring of Protected Visual Environments (IMPROVE) network program (hereafter, IMPROVE method), (3) Concentration-frequency distribution analysis method, (4) Advanced Global Atmospheric Gases Experiment (AGAGE) method (hereafter, AGAGE method), (5) Kaufman et al. (2001) method (hereafter, Kaufman method), and (6) Airmass sector analysis. The background concentration of BC mass concentrations is estimated to be about 400~900 ng $m^{-3}$, but each method shows a large difference. The estimated background concentration, in general, is arranged in the order of: mean > IMPROVE method > median > Kaufman method > concentration-frequency distribution analysis method > AGAGE method. The background concentration estimated by the airmass sector analysis is found to be about 550 ng $m^{-3}$ which is lower than those estimated by other methods. When we apply the same analytical period (i.e., 4-day and 6-day) to both AGAGE and Kaufman methods, the estimated background concentrations are quite similar. However, further researches on the development of statistical method for estimating background concentration for various gas-phase and particulate pollutants under different environment are needed.

Mura 검출을 위한 Model Fitting 및 Least Square Estimator의 비교 (Comparison of Model Fitting & Least Square Estimator for Detecting Mura)

  • 오창환;주효남;류근호
    • 제어로봇시스템학회논문지
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    • 제14권5호
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    • pp.415-419
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    • 2008
  • Detecting and correcting defects on LCD glasses early in the manufacturing process becomes important for panel makers to reduce the manufacturing costs and to improve productivity. Many attempts have been made and were successfully applied to detect and identify simple defects such as scratches, dents, and foreign objects on glasses. However, it is still difficult to robustly detect low-contrast defect region, called Mura or blemish area on glasses. Typically, these defect areas are roughly defined as relatively large, several millimeters of diameter, and relatively dark and/or bright region of low Signal-to-Noise Ratio (SNR) against background of low-frequency signal. The aim of this article is to present a robust algorithm to segment these blemish defects. Early 90's, a highly robust estimator, known as the Model-Fitting (MF) estimator was developed by X. Zhuang et. al. and have been successfully used in many computer vision application. Compared to the conventional Least-Square (LS) estimator the MF estimator can successfully estimate model parameters from a dataset of contaminated Gaussian mixture. Such a noise model is defined as a regular white Gaussian noise model with probability $1-\varepsilon$ plus an outlier process with probability $varepsilon$. In the sense of robust estimation, the blemish defect in images can be considered as being a group of outliers in the process of estimating image background model parameters. The algorithm developed in this paper uses a modified MF estimator to robustly estimate the background model and as a by-product to segment the blemish defects, the outliers.

이동하는 단안 카메라 환경에서 이동물체 검출을 위한 격자 기반 배경 움직임 보상방법 (Lattice-Based Background Motion Compensation for Detection of Moving Objects with a Single Moving Camera)

  • 명윤석;김경환
    • 한국통신학회논문지
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    • 제40권1호
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    • pp.52-54
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    • 2015
  • 본 논문은 이동하는 단안 카메라 환경에서 차영상 기반 이동물체 검출 시스템을 위한 새로운 배경 움직임 보상방법을 제안한다. 제안하는 방법은 특징점 대응쌍의 움직임 정보와 카메라 움직임 추정결과를 통해 입력영상에 배치한 격자점들의 배경 움직임을 추정하며 각각의 개별적인 대응 패치간의 영상워핑을 수행한다. 기존 방법과의 비교실험 결과는 약 50% 빠른 처리속도와 약 8dB 더 높은 PSNR을 보였다.

화학공정 주변지역에 미치는 위험성(사회적 위험성 및 개인적 위험성) 평가방법에 관한 비교 연구 (A Comparative Study on the Risk(Individual and Societal) Assessment for Surrounding Areas of Chemical Processes)

  • 김윤화;엄성인;고재욱
    • 한국안전학회지
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    • 제10권1호
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    • pp.56-63
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    • 1995
  • Two methods of the numerical method of CPQRA(Chemical Process Quantitative Risk Analysis) and the manual method of IAEA(International Atomic Energy Agency) were used to estimate the individual risk and societal risk around the chemical plant. Where, the CPQRA is introduced to verify the theoritical background of the manual of international atomic energy agency. The Gaussian plume model which has a weather stability class D with velocity of 5m/s was applied to calculate dispersion of hazard material. Also, 8-point method was employed to the effects of accidents for wind distribution. Furthermore, historical record, FTA(Fault Tree Analysis) and ETA(Event Tree Analysis) were used to estimate the probability or frequency of accidents. Eventually, the individual risk shows isorisk contour and the societal risk shows F-N curve around hazard facility, especially in chemical plants. Caulculated results, which both individual and societal risk, by using IAEA manual show simillar results to those of calculation by numerical method of CPQRA.

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근위축성 측삭 경화증에서의 Statistical Motor Unit Number Estimate 재연성: Size-and Number-Weighted Modifications간의 비교 (Reproducibility of Statistical Motor Unit Number Estimate in Amyotrophic Lateral Sclerosis: Comparisons between Size-and Number-Weighted Modifications)

  • 권오현;이광우
    • Annals of Clinical Neurophysiology
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    • 제5권1호
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    • pp.27-33
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    • 2003
  • Background: Motor unit number estimation (MUNE) can directly assess motor neuron populations in muscle and quantify the degree of physiologic and/or pathologic motor neuron degeneration. A high degree of reproducibility and reliability is required from a good quantitative tool. MUNE, in various ways, is being increasingly applied clinically and statistical MUNE has several advantages over alternative techniques. Nevertheless, the optimal method of applying statistical MUNE to improve reproducibility has not been established. Methods: We performed statistical MUNE by selecting the most compensated compound muscle action potential (CMAP) area as a test area and modified the results obtained by weighted mean surface-recorded motor unit potential (SMUP). Results: MUNE measures in amyotrophic lateral sclerosis (ALS) patients showed better reproducibility with sizeweighted modification. Conclusions: We suggest size-weighted MUNE testing of "neurogenically compensated"CMAP areas present an optimal method for statistical MUNE in ALS patients.

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Unveiling the Properties of FLS 1718+59: A Galaxy-Galaxy Gravitational Lens System

  • Taak, Yoon Chan;Im, Myungshin
    • 천문학회보
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    • 제39권1호
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    • pp.36.2-36.2
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    • 2014
  • We present results of the analysis of FLS 1718+59, a galaxy-galaxy gravitational lens system in the Spitzer First Look Survey (FLS) Field. A background galaxy (z = 0.245) is severely distorted by an elliptical galaxy (z = 0.08), by gravitational lensing. We analyze this system by several methods, including Ellipse and Galfit fitting, gravitational lens modeling (gravlens), and SED fitting. Properties of the lens galaxy can be obtained: from Galfit we measure the effective radius and the average surface brightness inside it, and from gravlens we estimate the total mass inside the Einstein radius (lensing mass). We use these parameters to check that the lens galaxy is located on the Fundamental Plane. Also, we conduct SED fitting for the lens galaxy and estimate the stellar mass, and compare this with the lensing mass of the lens galaxy to check the M-L relation.

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극지방 빙하량 변화 (ice-mass balance) 관측과 에러 분석 (Ice mass balance over the polar region and its uncertainty)

  • 서기원
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2007년도 특별 심포지엄 논문집
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    • pp.63-72
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    • 2007
  • Current estimates of the ice-mass balance over the Greenland and the Antarctica using retrievals of time-varying gravity from GRACE are presented. Two different GRACE gravity data, UTCSR RL01 and UTCSR RL04, are used for the estimates to examine the impact of the relative accuracy of background models in the GRACE data processing for inter-annual variations of GRACE gravity data. In addition, the ice-mass balance is appraised from the conventional GRACE data, which represents global gravity, and the filtered GRACE data, which isolates the terrestrial gravity effect from GRACE gravity data. The former estimate shows that there exists similar negative trends of ice-mass balance over the Greenland from UTCSR RL01 and UTCSR RL04 while the time series from the both GRACE data over the Antarctica differ significantly from each other, and no apparent trends are observed. The result for the Greenland from the latter calculation is similar to the former estimate. However, the latter calculation presents positive trends of ice-mass balance for the Antarctica from both GRACE data. These results imply that residual oceanic geophysical signals, particularly for ocean tides, significantly corrupt the ice-mass estimate over the Antarctica as leakage error. In addition, the spatial alias of GRACE is likely to affect the ice-mass balance because the spatial spectrum of ocean tides is not conserved via GRACE sampling, and thus ocean tides contaminate terrestrial gravity signal. To minimize the alias effect, I suggest to use the combined gravity models from GRACE, SLR and polar motion.

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A Noise Reduction Method with Linear Prediction Using Periodicity of Voiced Speech

  • Sasaoka, Naoto;Kawamura, Arata;Fujii, Kensaku;Itoh, Yoshio;Fukui, Yutaka
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.102-105
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    • 2002
  • A noise reduction technique to reduce background noise in corrupted voice is proposed. The proposed method is based on linear prediction and takes advantages of periodicity of voiced speech. A voiced sound is regarded as a periodic stationary signal in short time interval. Therefore, the current voice signal is correlated with the voice signal delayed by a pitch period. A linear predictor can estimate only the current signal correlated with the delayed signal. Therefore, the enhanced voice can be obtained as output of the linear predictor. Simulation results show that the proposed method is able to reduce the background noise.

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