• Title/Summary/Keyword: EM noise

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Design of Engineering Model Oscillator with Low Phase Noise for Ka-band Satellite Transponder (위상잡음을 개선한 Ka-band 위성 중계기용 Engineering Model 발진기의 설계)

  • 류근관;이문규;염인복;이성팔
    • Proceedings of the Korea Electromagnetic Engineering Society Conference
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    • 2001.11a
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    • pp.209-212
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    • 2001
  • 본 논문에서는 Ka-band 위성 중계기용 국부 발진기에 사용하게 될 전압제어 발진기의 EM (Engineering Model)을 비선형 방법으로 설계하였다. 전압제어 발진기의 위상잡음을 개선하기 위하여 공진기로 사용되는 유전체 공진기와 결합하는 마이크로스트립 라인을 high impedance inverter로 구현함으로써 공진회로의 quality factor를 우수하게 유지하여 능동소자에 전달되도록 하였다. 개발된 전압제어 발진기는 0~12V의 제어전압으로 9.7965~9.8032GHz의 발진범위를 갖으며 공급전력은 8V, 17mA을 필요로 한다. 제작된 전압제어 발진기의 위상잡음은 -96.51dB/Hz @10KHz와 -116.5dBc/Hz @100KHz의 특성을 나타내며 출력전력은 7.33dBm을 얻었다.

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A Pilot Symbol Based Coherent QAM Decoder for a Wireless Channel (파일럿 패턴을 이용한 무선 QAM 송수신 기술 연구)

  • Kim, Han-Il;Han, Jae-Choong
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.8
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    • pp.400-405
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    • 2001
  • Quadrature Amplitude Modulation(QAM) is well known a bandwidth efficient modulation scheme. However, its use for mobile communications has been limited due to noise and signal distortion. Recently, the QAM scheme is emerging as a new modulation scheme for a band-limited wireless system. In this paper, we propose an iterative decoding algorithm assuming QAM signal for a narrow-band mobile channel. The Algorithm is based on the EM(Expectation Maximization) Algorithm, and the performances of the proposed decoder are assessed using computer simulation. The simulation results show that the proposed decoder perform better compared to that of other schemes.

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Feasibility of Alternative Physical Parameters by Subjective Evaluation for Urban Environmental Sounds (도시 환경음의 쾌적성 평가를 통한 새로운 지수 적용가능성 분석)

  • Park, Hyeon-Ku;Jang, Gil-Soo
    • KIEAE Journal
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    • v.8 no.1
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    • pp.31-36
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    • 2008
  • For the comfortable housing life, comfortable and pleasant urban environment should be created for the people living in house and in city. There are lots of environmental conditions in city affecting house and life. Also most of all the noise pollution have been become major factor that makes people's life uncomfortable. Recently soundscape researches have been performed to create comfortable urban environment and various studies on the evaluation of urban environmental sounds are now undergoing. This study aimed to analyse the subjective characteristics through the subjective evaluation to the sounds measured with physical parameters and eventually to find out alternative evaluation method for urban environmental sounds. Adjectives applied to previous studies were used for the subjective evaluation and sound sources recorded in specific places were presented with picture at the same time. As a result, new physical parameters such as Lmax, Unbiased Annoyance, G, N and EmT have a feasibility to evaluation of urban environment sounds in terms of acoustic comfort.

Evaluation of Measurement Precisions Using Approximate F Tests and EMS in the Gauge R&R Studies (게이지 R&R 연구에서 근사 F검정과 EMS를 이용한 측정 정밀도의 평가)

  • Choi, Sung-Woon
    • Journal of the Korea Safety Management & Science
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    • v.11 no.3
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    • pp.209-216
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    • 2009
  • A development in method of evaluating the measurement precisions using approximate F tests and variance components from expected mean square (EMS) is investigated. The research proposes three-factor mixed measurement models with the fixed and random factors. Unrestricted and unconstrained design work was rarely studied, while restricted and constrained designs have been significantly discussed. The unrestricted and unconstrained designs assume to be an independence of interaction. The proposed evaluation method about the measurement precisions can be extended to four-factor random measurement model or mixed measurement model. The study also presents the three evaluation indexes of precisions such as R&RTR (Reproducibility & Repeatability-To-Total Precision Ratio), PTR (Precision-To-Tolerance Ratio), and SNR (Signal-To-Noise Ratio). Numerical examples are proposed to evaluate the approximate F tests with Satterthwaite degrees of freedom and three indexes using the measurement precisions from EMS.

LLC Resonant Converter using Spread Spectrum Technique for Reducing EM Noise (스위칭 주파수의 대역 확산을 통해 전자방해잡음을 저감할 수 있는 LLC 공진형 컨버터)

  • Kim, Mina;Park, Hwa-Pyeong;Jung, Jee-Hoon
    • Proceedings of the KIPE Conference
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    • 2018.07a
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    • pp.162-164
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    • 2018
  • 스위칭 주파수의 대역 확산 (Spread Spectrum) 기법은 전력 변환 장치의 전자 방해 잡음 (Electromagnetic Interference; EMI)를 줄일 수 있다. 하지만 공진형 컨버터는 스위칭 주파수 가변을 통해 출력 전압을 제어하기 때문에 스위칭 주파수의 대역 확산 기법을 적용하게 되면 출력 전압이 크게 흔들리게 된다. 본 논문은 LLC 공진형 컨버터에 대역 확산 기법을 사용함과 동시에 확산된 스위칭 주파수 대역의 위상 제어를 통해 출력 전압을 제어하는 방법을 제시하고자 한다. 제안하는 출력 전압 제어 성능 향상 및 전자방해잡음 감소 성능은 500 W 프로토타입 컨버터를 사용하여 검증하고자 한다.

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Text-Independent Speaker Verification Using Variational Gaussian Mixture Model

  • Moattar, Mohammad Hossein;Homayounpour, Mohammad Mehdi
    • ETRI Journal
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    • v.33 no.6
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    • pp.914-923
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    • 2011
  • This paper concerns robust and reliable speaker model training for text-independent speaker verification. The baseline speaker modeling approach is the Gaussian mixture model (GMM). In text-independent speaker verification, the amount of speech data may be different for speakers. However, we still wish the modeling approach to perform equally well for all speakers. Besides, the modeling technique must be least vulnerable against unseen data. A traditional approach for GMM training is expectation maximization (EM) method, which is known for its overfitting problem and its weakness in handling insufficient training data. To tackle these problems, variational approximation is proposed. Variational approaches are known to be robust against overtraining and data insufficiency. We evaluated the proposed approach on two different databases, namely KING and TFarsdat. The experiments show that the proposed approach improves the performance on TFarsdat and KING databases by 0.56% and 4.81%, respectively. Also, the experiments show that the variationally optimized GMM is more robust against noise and the verification error rate in noisy environments for TFarsdat dataset decreases by 1.52%.

Design of a Frequency Oscillator Using A Novel DGS (새로운 DGS 구조를 이용한 주파수 발진기 설계)

  • Joung, Myung-Sup;Kim, Jong-Ok;Park, Jun-Seok;Lim, Jae-Bong;Cho, Hong-Goo
    • Proceedings of the KIEE Conference
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    • 2003.07c
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    • pp.1955-1957
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    • 2003
  • This paper presents a novel defected ground structure (DGS) and its application to a microwave oscillator. The presented oscillator is designed so as to use the suggested defected ground structure as a feedback loop inducing a negative resistance as well as a frequency-selective circuit. Applying the feedback loop between the drain and the gate of a FET device produces precise phase conversion in the feedback loop. The equivalent circuit parameters of the DGS are extracted by using a three-dimensional EM calculations and simple circuit analysis method. The implemented 1.07 GHz oscillator exhibits 0 dBm output power with over 15% dc-to-RF power efficiency and -106 dBc/Hz phase noise at 100 kHz offset from carrier.

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Study on Soft-Switching Forward-Flyback PWM DC/DC Converter using Assistant-Circuit (보조회로를 응용한 소프트 스위칭 Forward-Flyback PWM DC/DC 컨버터에 관한 연구)

  • 박성준;오세욱;계문호;김광태;김철우
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.12 no.4
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    • pp.90-99
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    • 1998
  • The DC/DC power converter increase switching frequency in order to achieve small size, a low noise, and light weight. However, the power switches have high power losses and switching stresses as the switching frequency is increased. Therefore in this paper, the author propose the Soft-Switching Forward-Flyback PWM DC/DC converter using assistant-circuit, based on forward-flyback operation of a high-frequency transformer. The proposed converter scheme is verified by simulation and experiment.

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A Sequential LiDAR Waveform Decomposition Algorithm

  • Jung, Jin-Ha;Crawford, Melba M.;Lee, Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.26 no.6
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    • pp.681-691
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    • 2010
  • LiDAR waveform decomposition plays an important role in LiDAR data processing since the resulting decomposed components are assumed to represent reflection surfaces within waveform footprints and the decomposition results ultimately affect the interpretation of LiDAR waveform data. Decomposing the waveform into a mixture of Gaussians involves two related problems; 1) determining the number of Gaussian components in the waveform, and 2) estimating the parameters of each Gaussian component of the mixture. Previous studies estimated the number of components in the mixture before the parameter optimization step, and it tended to suggest a larger number of components than is required due to the inherent noise embedded in the waveform data. In order to tackle these issues, a new LiDAR waveform decomposition algorithm based on the sequential approach has been proposed in this study and applied to the ICESat waveform data. Experimental results indicated that the proposed algorithm utilized a smaller number of components to decompose waveforms, while resulting IMP value is higher than the GLA14 products.

Correlation-based Automatic Image Captioning (상호 관계 기반 자동 이미지 주석 생성)

  • Hyungjeong, Yang;Pinar, Duygulu;Christos, Falout
    • Journal of KIISE:Software and Applications
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    • v.31 no.10
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    • pp.1386-1399
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    • 2004
  • This paper presents correlation-based automatic image captioning. Given a training set of annotated images, we want to discover correlations between visual features and textual features, so that we can automatically generate descriptive textual features for a new unseen image. We develop models with multiple design alternatives such as 1) adaptively clustering visual features, 2) weighting visual features and textual features, and 3) reducing dimensionality for noise sup-Pression. We experiment thoroughly on 10 data sets of various content styles from the Corel image database, about 680MB. The major contributions of this work are: (a) we show that careful weighting visual and textual features, as well as clustering visual features adaptively leads to consistent performance improvements, and (b) our proposed methods achieve a relative improvement of up to 45% on annotation accuracy over the state-of-the-art, EM approach.