• 한국멀티미디어학회논문지
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• 제17권9호
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• pp.1064-1069
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• 2014

In this paper, we propose a novel approach to improve the performance of a voice activity detection(VAD) which is based on the adaptive band-partitioning with the likelihood ratio(LR). The previous method based on the adaptive band-partitioning use the weights that are derived from the variance of the spectral. In our VAD algorithm, the weights are derived from LR, and then the weights are incorporated with the entropy. The proposed algorithm discriminates the voice activity by comparing the weighted entropy with the adaptive threshold. Experimental results show that the proposed algorithm yields better results compared to the conventional VAD algorithms. Especially, the proposed algorithm shows superior improvement in non-stationary noise environments.

• Bulletin of the Korean Chemical Society
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• 제31권5호
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• pp.1233-1236
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• 2010

2,3-Dichloro-1,4-naphtoquinone 1 compound was reacted with octadecanethiol 2 in two different mole ratio. Compound 3 was obtained from the reaction of 1 and 2 in 1:2 mole/mole ratio. Compounds 7 and 8 were obtained from reaction of 1 and 2 in 1:1 mole/mole ratio and known compound 9 was synthesized as by-product in this reaction. Novel compounds 5a-e were obtained from reaction of 1 and related thiols 4a-e. Known compounds 6c and 6e were synthesized as by-product in this reaction. The structures of the compounds were characterized by elemental analysis, UV-vis, FTIR, $^1H$-NMR, $^{13}C$-NMR and Mass spectroscopies.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2003년도 춘계 학술발표회논문집
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• pp.61-68
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• 2003

The H/V ratio (Horizontal to Vertical spectral ratio) has been used to infer site amplification without previous knowledge of near-surface geology and in fact may provide useful general site condition information. This method is used to classify the site characteristics of seismic stations in Korea by comparison with known H/V ratios representative of various sites all over the world. In addition, differences between horizontal and vertical kappa values were evaluated for each seismic stations by comparing WV ratio and Weak Motion amplification derived from inversion of stochastic ground motion parameters and were used as index to quantitatively classify the site characteristics.

• Smart Structures and Systems
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• 제17권3호
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• pp.471-489
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• 2016

Modal identification based on ambient vibration data has attracted extensive attention in the past few decades. Since the excitation for ambient vibration tests is mainly from the environmental effects such as wind and traffic loading and no artificial excitation is applied, the signal to noise (s/n) ratio of the data acquired plays an important role in mode identifiability. Under ambient vibration conditions, certain modes may not be identifiable due to a low s/n ratio. This paper presents a study on the mode identifiability of an instrumented cable-stayed bridge with the use of acceleration response data measured by a long-term structural health monitoring system. A recently developed fast Bayesian FFT method is utilized to perform output-only modal identification. In addition to identifying the most probable values (MPVs) of modal parameters, the associated posterior uncertainties can be obtained by this method. Likewise, the power spectral density of modal force can be identified, and thus it is possible to obtain the modal s/n ratio. This provides an efficient way to investigate the mode identifiability. Three groups of data are utilized in this study: the first one is 10 data sets including six collected under normal wind conditions and four collected during typhoons; the second one is three data sets with wind speeds of about 7.5 m/s; and the third one is some blind data. The first two groups of data are used to perform ambient modal identification and help to estimate a critical value of the s/n ratio above which the deficient mode is identifiable, while the third group of data is used to perform verification. A couple of fundamental modes are identified, including the ones in the vertical and transverse directions respectively and coupled in both directions. The uncertainty and s/n ratio of the deficient mode are investigated and discussed. A critical value of the modal s/n ratio is suggested to evaluate the mode identifiability of the deficient mode. The work presented in this paper could provide a base for the vibration-based condition assessment in future.

• 대한전기학회논문지:시스템및제어부문D
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• 제50권12호
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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.

• 한국통신학회논문지
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• 제34권5C호
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• pp.527-539
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• 2009

본 논문에서는 3GPP LTE (3rd Generation Partnership Project Long Term Evolution) MIMO-OFDMA(multiple-input multiple-output-orthogonal frequency division multiple access) 시스템의 하향 링크 수신기를 위한 asynchronous ICI (Inter-Cell Interference) 완화 기법을 제안한다. Multi-cell 환경을 고려한 celluar OFDMA 시스템에서는 기본적으로 frequency reuse factor가 1로 설정되기 때문에 셀 경계에 위치한 UE (User Equipment)의 경우 ICI 영향을 받게 되며, 특히 각기 다른 셀 반경 및 nodeB 간의 거리 차이 등 현실적인 celluar 환경을 고려 할 경우에는 UE 간 타이밍 오류가 가중되어 수신 신호의 주파수 영역의 직교성이 파괴될 가능성이 있다. 따라서 이러한 인접 셀 간섭을 제거 및 완화하기 위하여 수신 OFDM 심볼에 대한 SCM (Spatial Covariance Matrix) 추정이 필요하다. 일반적으로 SCM 추정은 training symbol을 이용함을 가정하지만, 긴 시간 동안 간섭의 통계적 특성을 측정하는 것은 어려울 뿐만 아니라 training symbol이 고려되지 않는 LTE와 같은 MIMO-OFDMA 시스템에는 적합하지 않다. 또한 추정의 정확성을 높이기 위하여 noise reduction 방식이 적용된 추정 기법이 제시되고 있으나, 기존 time-domain low-pass type weighting 방식은 spectral leakage에 의한 추정 에러를 유발하는 단점이 있다. 따라서, 본 논문에서는 noise reduction 효과를 얻으면서 spectral leakage에 의한 SCM 추정 오류를 최소화할 수 있으며, 주파수 영역에의 moving average filter로 구현 가능한 time-domain sinc-type weighting 방식의 SCM 추정 기법을 제안하였으며, 다양한 환경에서의 컴퓨터 모의 실험을 통하여 제안된 방식이 기존의 방식보다 약 3dB 의 SIR (Signal to Interference Ratio) 이득을 보임을 입증하였다.

• ETRI Journal
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• 제36권5호
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• pp.721-729
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• 2014

We propose a novel phase-based method for single-channel speech enhancement to extract and enhance the desired signals in noisy environments by utilizing the phase information. In the method, a phase-dependent a priori signal-to-noise ratio (SNR) is estimated in the log-mel spectral domain to utilize both the magnitude and phase information of input speech signals. The phase-dependent estimator is incorporated into the conventional magnitude-based decision-directed approach that recursively computes the a priori SNR from noisy speech. Additionally, we reduce the performance degradation owing to the one-frame delay of the estimated phase-dependent a priori SNR by using a minimum mean square error (MMSE)-based and maximum a posteriori (MAP)-based estimator. In our speech enhancement experiments, the proposed phase-dependent a priori SNR estimator is shown to improve the output SNR by 2.6 dB for both the MMSE-based and MAP-based estimator cases as compared to a conventional magnitude-based estimator.

• 한국통신학회논문지
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• 제19권6호
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• pp.994-1003
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• 1994

본 논문에서는 차량 잡음 환경하에서 하나의 마이크로폰 구조를 사용하여 스펙트럼 차감법을 이용한 잡음 제거 방법을 제안하였다. 변화하는 잡음에 의하여 손상된 음성신호에서 잡음의 성분을 제거하기 위하여 여러 상황에서의 차량 잡음을 분석하고 특성을 알아보았다. 음성/비음성의 분류와 잡음의 스펙트럼을 추정하기 위하여 잡음 분석을 바탕으로 음성/비음성 분류함수를 제안하였다. 이 분류함수에 의하여 적은 계산량으로 간단하게 정확한 음성/비음성의 분류가 가능하다. 또한 정확한 잡음의 스펙트럼 추정이 가능하다. 제안된 음성/비음성 분류함수에 의한 잡음의 스펙트럼 추정으로 인하여 왜곡이 거의 없는 깨끗한 음성신호를 추출할 수 있었다.

• 천문학회지
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• 제45권2호
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• pp.25-29
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• 2012

New methods are developed to estimate the effective temperature (Te), surface gravity (log g), and metallicity ([A/H]) simultaneously with the spectral line depth ratios. Using the model atmosphere grids, depth values are calculated for the wavelength range of $4000{\AA}-5600{\AA}$ for various temperatures, gravities, and metallicities. All possible different combinations of line depth ratios for different pairs of ratios are investigated. A graphical 3D figure is produced with X, Y, and Z axes corresponding to Te, log g, and [A/H], respectively. By reading a cross point of two curves plotted by a connection of three parameters obtained from spectral line depth ratio pairs on each of the three projected planes, Te, log g, and [A/H] are determined simultaneously. In addition, an analytical method is devised based on the similar algorithm developed for the graphical method. Our methods were applied to estimate the fundamental atmospheric parameters of the Sun and Arcturus.

• 한국통신학회논문지
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• 제39C권1호
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• pp.60-69
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• 2014

감시경계 분야에서 진동센서를 이용한 발자국 탐지방안 연구가 지속적으로 이루어지고 있다. 진동센서는 탐지성능은 우수하나 야외 환경에서 사용 시 잡음에 매우 민감하게 반응한다. 본 논문에서는 비선형 주파수 차감 후 기본 발자국 모델 신호와 입력 신호 간의 교차상관을 수행하여 잡음은 감쇄시키고 발자국 신호는 증대시켜 탐지성능을 높일 수 있는 NSSC 방법을 제안한다. 이러한 잡음 제거과정 이후 탐지 이벤트 구간에 대한 식별 과정을 수행함으로써 실제 사람 발자국 여부를 최종 판단한다. 제시된 알고리즘의 성능 검증을 위하여 맑은 날, 비 오는날에 수집된 발자국 신호에 대한 실험 결과를 제시하였다.