• 한국전자파학회논문지
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• 제17권7호
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• pp.638-647
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• 2006

최근에 PAPR(Peak to Average Power Ratio)을 저감하기 위하여 DFT-Spread OFDM(Discrete Fourier Transform-Spread Orthogonal Frequency Division Multiplexing) 이 많이 연구되고 있다. 그러나 DFT-Spread OFDM 시스템에서는 발진기에서 발생하는 위상 잡음에 의한 DFT 확산 코드의 위상 오프셋 불일치로 인하여 기존 OFDM 시스템에 비하여 상대적으로 더 많은 간섭 즉 ICI(Inter-sub-Carrier-Interference)와 SCI(Self-Channel- Interference) 성분이 발생하여 성능이 나빠진다. 본 논문에서는 먼저 DFT-Spread OFDM 시스템의 위상 잡음에 의한 통신 성능의 영향을 분석한다. 그리고 위상 잡음 보상을 위한 기존의 ICI 제거 기법 (ICI self-cancellation method)을 검토하고, 2 가지 새로운 ICI 제거 기법을 제안한다. 또한, PAPR을 저감하고 동시에 위상 잡음에 의해 간섭을 제거하기 위하여, 기존 방법과 새로이 제안한 ICI 제거 기법을 사용하는 새로운 시스템을 구성하고 그 성능을 비교 분석한다. 분석 결과, DFT-Spread OFDM 시스템에 ICI 제거 기법을 적용한 새로운 시스템은 낮은 PAPR 특성을 유지하면서 위상 잡음에 의한 성능 악화를 최소화할 수 있다. 그 중에서 data-conjugate 기법과 새로 제안한 symmetric data-conjugate 기법을 적용한 DFT-Spread OFDM 시스템이 제일 우수하여 DFT-Spread OFDM 보다 크게 성능이 개선되며, data-conjugate 기법을 적용한 DFT-Spread OFDM이 좀 더 우수하다.

• 전기학회논문지
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• 제64권2호
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• pp.276-279
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• 2015

This paper propose a method to reduce the backscatter field of the curved aluminum plate using the cancellation system. The cancellation circuit is composed of a circulator, a LNA(Low Noise Amplifier), a VGA(Variable Gain Amplifier) and two phase shifters. Prior to experiment, we performed simulations to confirm the possibility using FDTD(Finite Difference Time Domain) simulator. We confirmed that the backscatter field could be reduced by the cancellation circuit when we changed the appropriate gain and phase. Finally, we performed an experiment to verify the performance of the cancellation circuit.

• 한국도로학회논문집
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• 제15권4호
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• pp.75-83
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• 2013

PURPOSES: The purpose of study is to understand the characteristic of driving noise from the front and rear tire for effective active noise cancellation application. METHODS : As literature review, noise measurement methods were reviewed. Noise measurement conducted at three kind of section by road slope using CPX(Close Proximity Method). Noise data was compared by total sound pressure level and 1/3 octave band frequency sound pressure level. Also, each section was compared by T-test using SPSS. RESULTS : In the case of the uphill section, it was shown that the sound pressure level of the front tire at Sugwang-Ri and Sinchon-RI sections was higher than that of the rear tire in low and high frequency band. In the case of high slope section of Sangsaek-Ri, the sound pressure level of the front tire was higher than that of the rear tire in high frequency. Also, in the case of the downhill section, it was shown that the sound pressure level of the front tire at Sugwang-Ri and Sinchon-RI sections was higher than that of the rear tire in low frequency band. However, the sound pressure levels of both the front and rear tires were approximately the same in the high slope section of Sangsaek-Ri. The result of T-test showed that total sound pressures of the front and rear tires were not different from each other in the case of high slope and high speed. CONCLUSIONS: Road slope was not an important variable for effective active noise cancellation.

• Nuclear Engineering and Technology
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• 제55권12호
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• pp.4570-4575
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• 2023

Noise and Radio-frequency interference or RFI causes a significant restriction on the Free induction Decay or FID signal detection of the Nuclear Quadrupole Resonance procedure. Therefore, using this method in non-isolated environments such as industry and ports requires extraordinary measures. For this purpose, noise reduction algorithms and increasing signal-to-noise-and-interference ratio or SNIR have been used. In this research, sodium nitrite has been used as a sample and algorithms have been tested in a non-isolated environment. The resonant frequencies for the 150 g of test sample were measured at 303 K at about 1 MHz and 3.4 MHz. The main novelty in this study was, (1) using two types of antennas in the receiver to improve adaptive noise and interference cancellation, (2) using a separate helical antenna in the transmitter to eliminate the duplexer, (3) estimating the noise before sending the pulse to calculate the weighting factors and reduce the noise by adaptive noise cancellation, (3) reject the interference by blanking algorithm, (4) pulse integration in the frequency domain to increase the SNR, and (5) increasing the detection speed by new pulse integration technique. By interference rejection and noise cancellation, the SNIR is improved to 9.24 dB at 1 MHz and to 7.28 dB at 3.4 MHz, and by pulse integration 44.8 dB FID signal amplification is achieved, and the FID signals are detected at 1.057 MHz and 3.402 MHz at room temperature.

• Progress in Superconductivity
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• 제4권1호
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• pp.53-58
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• 2002

Noise from electronic instrumentation is invariably present in biomedical signals, although the art of instrumentation design is such that this noise source may be negligible. And sometimes signals of interest are contaminated or degraded by signals of similar type from another source. Biomedical signals are omni-presently contaminated by these background noises that span nearly all frequency bandwidths. In the magneto-cardiogram (MCG), several digital filters have been designed for the elimination of the power-line interference, broadband white noise, surrounding magnetic noise, and baseline wondering. In addition to the introduced FIR filter, notch, adaptive filter using the least mean square (LMS) algorithm, and recurrent neural network (RNN) filter, a new filtering method for effective noise canceling in MCG signals is proposed in this paper, which is realized by the wavelet packets. The experimental results show that the proposed filter using wavelet packet performs efficiently with respect to noise rejection. To verify this, two characteristics were analyzed and compared with LMS adaptive filter, SNR of filtered signal and attractor pattern using the nonlinear dynamics.

• 한국수자원학회논문집
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• 제42권4호
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• pp.355-363
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• 2009

본 연구에서는 카오스 특성을 보이는 수문시계열에 대한 잡음의 영향을 검토하기 위하여 카오스 특성을 보이는 자료로 알려져 있는 Lorenz 시계열과 미국 Great Salt Lake의 용적 자료계열을 이용하였다. 잡음의 영향을 고려하기 위한 방법으로 잡음의 비율을 증가시키면서 끌개, 상관차원, Close Returns Plot의 변화 특성을 살펴보면서 카오스의 특성이 어떻게 변화하는지를 검토하였다. 또한 Close Returns Plot의 점들의 도수에 의해 표현되는 Close Returns Histogram의 상대도수에 대하여 $X^2$ 검정을 수행하였다. 그 결과, Lorenz 시계열과 GSL 용적 자료계열 모두 잡음의 비율이 증가함에 따라 카오스 특성이 사라지고 선형 추계학적인 과정의 자료로 변화됨을 확인하였다. 또한 단순 이동평균 방법에 의하여 Lorenz 시계열과 GSL 용적 자료계열에 대한 잡음의 제거 효과가 있는지에 대하여 검토한 결과 단순 이동평균 방법으로 자료의 잡음을 효과적으로 제거할 수 있었고, 카오스 특성을 보이는 실측 수문시계열에 적용성이 있음을 확인할 수 있었다.

• 전자공학회논문지 IE
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• 제46권4호
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• pp.16-24
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• 2009

본 논문은 다양한 환경오염물질 (CO, $SO_2$, NOx 등)을 실시간 측정할 수 있는 NDIR 기반의 광학분석장치를 위한 새로운 잡음제거기를 제안한다. 센싱된 신호는 높은 주파수를 갖는 측정 노이즈 원과 낮은 주파수를 갖는 드리프트성 노이즈 원에 의해 오염된다. 이러한 잡음들은 시간영역 특성을 고려한 전처리 과정과 부밴드 구조에서 부-전력비를 고려한 후처리에 의해 제거 될 수 있다. 제안한 방법에서 전 후처리 잡음제거 과정은 정밀한 측정이 가능하도록 NDIR 기반의 광학분석장비의 하드웨어 구현에 유리하다.

• 한국음향학회지
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• 제21권4호
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• pp.178-178
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• 2002

In this paper, we propose an adaptive wavelet method for car interior noise cancellation. For this purpose, we use a node dependent threshold which minimizes the Bayesian risk. We propose a noise estimation method based on spectral entropy using histogram of intensity and a candidate best basis instead of Donoho's best bases. And we modify the hard threshold function. Experimental results show that the proposed algorithm is more efficient, especially to heavy noisy signal than conventional one.

• Journal of electromagnetic engineering and science
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• 제9권2호
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• pp.61-65
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• 2009

Successive interference cancellation(SIC) for the uplink of MC-CDMA mobile communications systems is an effective method to improve performance. We propose a successive interference cancellation(SIC) technique for the uplink of MC-CDMA mobile systems with multiple receive antennas. The destination uses optimum combining(OC) to combine the signals from an OFDM Demodulator with multiple receiving antennas, and applies SIC processing to the combined signals. Achieved interference cancellation order is depends on the signal to interference-plus-noise ratio (SINR) at the output of the optimum combiner. Monte-Carlo simulations are employed to verify the proposed technique.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.1183-1186
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• 1998

Adaptive nois canceller can extract the noiseremoved spech in noisy speech signal by adapting the filter-coefficients to the background noise environment. A kind of LMS algorithm is one of the most popular adaptive algorithm for noise cancellation due to low complexity, good numerical property and the merit of easy implementation. However there is the matter of increasing misadjustment at voiced speech signal. Therefore the demanded speech signal may be extracted. In this paper, we propose a fast and noise robust wavelet packet adaptive noise canceller with NLMS-SUM method LMS combined algorithm. That is, we decompose the frequency of noisy speech signal at the base of the proposed analysis tree structure. NLMS algorithm in low frequency band can efficiently dliminate the effect of the low frequency noise and SUM method LMS algorithm at each high frequency band can remove the high frequency nosie. The proposed wavelet packet adaptive noise canceller is enhanced the more in SNR and according to Itakura-Satio(IS) distance, it is closer to the clean speech signal than any other previous adaptive noise canceller.