• Geophysics and Geophysical Exploration
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• v.14 no.2
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• pp.146-151
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• 2011

A method to evaluate and to reduce the source- and receiver- consistent noise in a cross-well travel time data was proposed. These systematic noises, which can cause some serious effects on the result of a travel time tomography, can be considered as the source and receiver statics. The method evaluates the statics through a curve-fitting of the first arrival travel times in the common source and common receiver gathers. Feasibility study was conducted on a synthetic data which simulates the cross-well travel time tomography to detect a small scale tunnel in a uniform background medium. First arrival travel times at a given source and receiver points are computed by a raytracing method, and the source consistent- and receiver consistent noises are added to the record. In case of the added noise with rms amounting to 25% of the maximum expected anomalous travel time delays, it is confirmed that the method successfully extracted the noise at the 7th step of iteration.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.10A
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• pp.1579-1587
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• 1999

Bias-dependent noise models of $0.2\mu\textrm{m}$ gate length P-HEMT's which are scalable with gate width are proposed. To predict S-parameters of the P-HEMT's the intrinsic parameters except for $\tau$ subtracted the offsets introduced in this paper are normalized to the gate width and then scaled. The small-signal model parameters are expressed as fitting functions of the drain current to $\textrm{I}_{dss}$ ratio and gate width. In addition, to estimate accurately noise parameters the noise temperature $\textrm{T}_{g}$ of the intrinsic resistance, the equivalent noise conductance $\textrm{G}_{ni}$ of the gate current noise source, and the equivalent noise conductance $\textrm{G}_{no}$ of the drain current noise source are adopted as the noise model parameters. The extracted values of $\textrm{T}_{g}$ are nearly independent of drain current and gate width and their average is around the ambient temperature. The extracted values of $\textrm{G}_{ni}$ are small enough to be neglected to the circuit characteristics. From the comparison of the noise model with only $\textrm{G}_{no}$ and that having $\textrm{T}_{g}$, $\textrm{G}_{ni}$ and $\textrm{G}_{no}$ to the measured data it is fund that even the former model is in good agreement with the measured noise parameters. Thus, from a practical point of view the noise model having only the drain current noise source is confirmed as a scalable bias-dependent model.

• Journal of IKEEE
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• v.18 no.4
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• pp.625-629
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• 2014

This study derives the asymptotic phase noise formula of the oscillators perturbed by the colored noises. Based on the derived formula, this study presents a sub-1V series-tuned differential Colpitts VCO. The ADS simulation result on the phase noise shows that the presented VCO exhibits about 3dBc/Hz lower phase noise at the 1MHz offset frequency from the oscillation frequency of 4.8GHz than the existing series-tuned differential Colpitts VCO with the inductor current sources.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.8C
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• pp.795-802
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• 2003

It is very important to construct statistical model in order to exactly estimate the signal variance from a noisy image. In order to estimate variance, information of neighboring region is used generally. The size of neighbor region is varied according to the regional characteristics of image. More accurate estimation of edge variance is due to smaller region of neighbor, on the other hands, larger region of neighbor is used to estimate the variance of flat region. By using estimated variance of original image, in general, Wiener filter is constructed, and it is applied to the noisy image. In this paper, we propose a new method for determining the range of neighbors to estimate the variance in wavelet domain. Firstly, a significance map is constructed using the parent-child relationship of wavelet domain. Based on the number of the significant wavelet coefficients, the range of neighbors is determined and then the variance of the original signal is estimated using ML(maximum likelihood method. Experimental results show that the proposed method yields better results than conventional methods for image denoising.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.293-296
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• 2004

본 논문에서는 잡음이 첨가된 선형적으로 혼합된 신호들을 대상으로 뉴우턴법과 할선법의 고정점 알고리즘 각각을 적용할 때 그 분리성능을 비교 검토하였다. 여기서 뉴우턴법은 기울기 변화에 따른 속성을 이용하며, 할선법은 접선의 변화를 이용하는 속성을 가진다. 실험에 이용된 신호는 512$\times$512 픽셀의 2개 2차원 영상이며, 가우스 분포와 라플라시안 분포의 잡음을 이용하였다. 실험 결과, 할선법의 알고리즘이 뉴우턴법보다 잡음에 강인한 특성을 가짐을 알 수 있었다. 한편, 잡음이 첨가되지 않은 경우보다 가우시안 잡음 및 라프라시안 잡음을 첨가한 경우, 절대합 오차값에서 각각 약 23% 및 약 9.7%정도 원영상과의 오차를 보였다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.185-188
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• 2000

현대의 잡음이 많은 환경에서 적응 음향반향제거기는 배경잡음의 영향으로 원활한 통화환경을 제공할 수 없다. 이러한 문제점을 해결하기 위하여 음향반향 제거와 더불어 배경잡음을 제거하는 결합구조의 적응 음향반향제거기가 제안되었다. 본 논문에서는 기존의 결합구조가 가지는 단점을 보완하여 적응 음향반향제거기의 성능을 향상시켰다. 제안한 결합구조는 적응 음향잡음제거기의 기준입력 신호를 적응 음향잡음제거기의 오차신호와 같게 구성함으로서 배경잡음 신호뿐만 아니라 잔여반향 신호도 효율적으로 제거할 수 있다. 성능 평가를 위한 실험결과, 제안한 방법이 기존의 방법에 비하여 ERLE 성능이 수렴 구간에서 3㏈ 이상 향상되었음을 확인하였다.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.7
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• pp.649-656
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• 2002

This paper addresses the phase noise analysis of high-speed DH-PLL(Digital Hybrid Phase-Locked Loops) frequency synthesizer. Because of the additional quantization noise of D/A converter in DH-PLL, the phase noise of DH-PLL is increased than the conventional PLL. Three kinds of noise sources such as reference input, D/A converter, and VCO(Voltage Controlled Oscillator) are considered to analyze the phase noise. It largely depends on the closed loop bandwidth and frequency synthesis division ratio(N) so that we can decide the optimal closed loop bandwidth to minimize the phase noise of DH-PLL. It is shown that the simulation results closely match with the results of analytical approach.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.3
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• pp.224-228
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• 2015

In this paper, we study the method for desired signals estimation that array antennas are received signals. We apply sub spatial method of direction of arrival algorithm and adaptive array antennas in order to remove interference and noise signal of received antenna signals. Array response vector of adaptive array antenna is probability, it is correctly estimation of direction of arrival of targets to update weight signal. Desired signals are estimated updating covariance matrix after moving interference and noise signals among received signals. We estimate signals using eigen decomposition and eigen value, high resolution direction of arrival estimation algorithm is devided signal sub spatial and noise sub spatial. Though simulation, we analyze to compare proposed method with general method.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.19 no.9
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• pp.1010-1019
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• 2008

In this paper, we present a noise analysis and measurement results of a bio-radar system that can detect human heartbeat and respiration signals. The noise analysis including various phase noise effects is very important in designing the bio-radar system, since the frequency difference between the received signal and local oscillator is very small and the received power is very low. All of the noise components in a bio-radar system are considered from the point of view of SNR. From this analysis, it can be concluded that the phase noise due to antenna leakage is a dominant factor and is a function of range correlation. Therefore, the phase noise component with range correlation effect, which is the most important noise contribution, is measured using the measurement setup and compared with the calculated results. From the measurement results, our measurement setup can measure a closed-in phase noise of a free-running oscillator. Based on these results, it is possible to design a 2.4 GHz bio-radar system quantitatively which has a detection range of 50 cm and low power of 1 mW without additional PLL circuits.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.184-187
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• 2019

본 논문에서는 영상에서 발생하는 주기적 잡음을 제거하기 위해 다양한 필터들을 이용하여 성능 비교 실험을 수행한다. 영상의 주파수 도메인에서 지역적으로 잡음이 발생하면 영상의 공간 도메인에서 주기적인 잡음이 발생한다. 우선, 영상을 주파수 도메인에서 잡음을 야기시키는 영역을 분석하여 해당 영역에 지역적으로 노치 필터를 적용한다. 이를 통해 영상의 원신호를 유지하면서 영상에서 발생했던 주기적 잡음을 제거함으로써 영상의 화질이 개선됨을 실험을 통해 검증했다. 또한 객관적 지표 비교를 통해 3 가지의 지역적인 노치 필터들의 성능을 비교하고 최적의 필터를 제시한다.