• 제목/요약/키워드: source separation

검색결과 450건 처리시간 0.032초

직류 전원 분할용 커패시터의 용량 변화에 따른 ZVS-HB형 고주파 공진 인버터의 특성해석 (Characteristics Analysis of ZVS-HB Type High Frequency Resonant Inverter According to the Variable Capacitance of the DC Voltage Source Separation Capacitor)

  • 문창수;김종해;김동희;오승훈;심광열;민병재
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제49권5호
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    • pp.352-357
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    • 2000
  • This paper presents about an example of circuit design and characteristics of inverter according to the variable capacitance of the DC voltage source separation capacitor used in ZVS-HB type high frequency resonant inverter. The soft switching technology known as ZVS is used to reduce turn off loss at switching. In the event the capacitance of the DC voltage source separation capacitor is varied, the analysis of inverter circuit has generally described by using normalized parameter and operating characteristics have been evaluated in terms of switching frequency and parameters. According to the calculated characteristics value, a method of the circuit designs and operating characteristic of the inverter is also presented in this paper. In addition, this paper proves the validity of theoretical analysis through the experiment. This proposed inverter shows that it can be practically used in future as power source system for the lighting equipment of discharge lamp, DC-DC converter etc.

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이차 통계치를 이용한 블라인드 신호분리 알고리즘 (Blind Source Separation Algorithm using the Second-Order Statistics)

  • 김천수;양완철;이병섭
    • 한국전자파학회논문지
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    • 제13권2호
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    • pp.107-114
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    • 2002
  • 미지의 신호원들의z 합성으로부터 관측된 신호만을 이용하여 통계적으로 독립인 원신호를 추출하는 문제를 블라인드 신호분리라 한다. 본 논문에서는 보통의 실내에서 얻어진 비정상(non-stationary) 합성신호로부터 원신호론 추출해내는 블라인드 신호분리 기법을 제안한다. 제안된 기법은 관측 신호들 간의 이타 상호상관 값이 제로가 될 때만 최소값을 가지는 비용함수를 최소화시키는 방식으로 블라인드 신호분리를 구현한다. 제안된 기법의 유효성을 컴퓨터 시뮬레이션과 보통의 실내에서 관측된 2개의 합성신호로부터 2개의 원신호를 추출해내는 실험을 통하여 증명한다.

Underdetermined Blind Source Separation from Time-delayed Mixtures Based on Prior Information Exploitation

  • Zhang, Liangjun;Yang, Jie;Guo, Zhiqiang;Zhou, Yanwei
    • Journal of Electrical Engineering and Technology
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    • 제10권5호
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    • pp.2179-2188
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    • 2015
  • Recently, many researches have been done to solve the challenging problem of Blind Source Separation (BSS) problems in the underdetermined cases, and the “Two-step” method is widely used, which estimates the mixing matrix first and then extracts the sources. To estimate the mixing matrix, conventional algorithms such as Single-Source-Points (SSPs) detection only exploits the sparsity of original signals. This paper proposes a new underdetermined mixing matrix estimation method for time-delayed mixtures based on the receiver prior exploitation. The prior information is extracted from the specific structure of the complex-valued mixing matrix, which is used to derive a special criterion to determine the SSPs. Moreover, after selecting the SSPs, Agglomerative Hierarchical Clustering (AHC) is used to automaticly cluster, suppress, and estimate all the elements of mixing matrix. Finally, a convex-model based subspace method is applied for signal separation. Simulation results show that the proposed algorithm can estimate the mixing matrix and extract the original source signals with higher accuracy especially in low SNR environments, and does not need the number of sources before hand, which is more reliable in the real non-cooperative environment.

PLANETARY CAUSTIC PERTURBATIONS OF A CLOSE-SEPARATION PLANET ON MICROLENSING

  • Ryu, Yoon-Hyun;Kim, Han-Seek;Chung, Sun-Ju;Kim, Dong-Jin
    • 천문학회보
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    • 제41권1호
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    • pp.77.1-77.1
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    • 2016
  • We investigate the properties and detection conditions for the planetary caustic perturbation of close-separation planets. To find the properties of the planetary caustic perturbation, we construct deviation maps by subtracting the single-lensing magnification of the lens star from the planetary lensing magnification for various lensing parameters. We find that each deviation area of the positive and negative perturbations disappears at the same normalized source radius according to a given deviation threshold regardless of mass ratio but disappears at a different normalized source radius according to the separation. We also estimate the upper limit of the normalized source radius to detect the planetary caustic perturbation. We find simple relations between the upper limit of the normalized source radius and the lensing parameters. From the relations, we obtain an analytic condition for the detection limit of the planet, and which show that we can sufficiently discover a planet with the mass of sub-Earth for typical microlensing events. Therefore, we expect to add the number of low-mass planets in the next-generation microlensing experiments and conclude that our detection condition of the planet can be used as a important criteria for maximal planet detections considering the source type and the photometric accuracy.

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Blind Source Separation for OFDM with Filtering Colored Noise and Jamming Signal

  • Sriyananda, M.G.S.;Joutsensalo, Jyrki;Hamalainen, Timo
    • Journal of Communications and Networks
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    • 제14권4호
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    • pp.410-417
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    • 2012
  • One of the premier mechanisms used in extracting unobserved signals from observed mixtures in signal processing is employing a blind source separation (BSS) algorithm. Orthogonal frequency division multiplexing (OFDM) techniques are playing a prominent role in the sphere of multicarrier communication. A set of remedial solutions taken to mitigate deteriorative effects caused within the air interface of OFDM transmission with aid of BSS schemes is presented. Four energy functions are used in deriving the filter coefficients. Energy criterion functions to be optimized and the performance is justified. These functions together with iterative fixed point rule for receive signal are used in determining the filter coefficients. Time correlation properties of the channel are taken advantage for BSS. It is tried to remove colored noise and jamming components from themixture at the receiver. Themethod is tested in a slow fading channel with a receiver containing equal gain combining to treat the channel state information values. The importance is that, these are quite low computational complexity mechanisms.

Experimental study on bridge structural health monitoring using blind source separation method: arch bridge

  • Huang, Chaojun;Nagarajaiah, Satish
    • Structural Monitoring and Maintenance
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    • 제1권1호
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    • pp.69-87
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    • 2014
  • A new output only modal analysis method is developed in this paper. This method uses continuous wavelet transform to modify a popular blind source separation algorithm, second order blind identification (SOBI). The wavelet modified SOBI (WMSOBI) method replaces original time domain signal with selected time-frequency domain wavelet coefficients, which overcomes the shortcomings of SOBI. Both numerical and experimental studies on bridge models are carried out when there are limited number of sensors. Identified modal properties from WMSOBI are analyzed and compared with fast Fourier transform (FFT), SOBI and eigensystem realization algorithm (ERA). The comparison shows WMSOBI can identify as many results as FFT and ERA. Further case study of structural health monitoring (SHM) on an arch bridge verifies the capability to detect damages by combining WMSOBI with incomplete flexibility difference method.

Active Noise Cancellation using a Teacher Forced BSS Learning Algorithm

  • 손준일;이민호;이왕하
    • 센서학회지
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    • 제13권3호
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    • pp.224-229
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    • 2004
  • In this paper, we propose a new Active Noise Control (ANC) system using a teacher forced Blind Source Separation (BSS) algorithm. The Blind Source Separation based on the Independent Component Analysis (ICA) separates the desired sound signal from the unwanted noise signal. In the proposed system, the BSS algorithm is used as a preprocessor of ANC system. Also, we develop a teacher forced BSS learning algorithm to enhance the performance of BSS. The teacher signal is obtained from the output signal of the ANC system. Computer experimental results show that the proposed ANC system in conjunction with the BSS algorithm effectively cancels only the ship engine noise signal from the linear and convolved mixtures with human voice.

Blind 신호원 분류를 갖는 능동 소음 제거기 (An Active Noise Canceller with Blind Source Separation)

  • 손준일;이민호
    • 한국음향학회지
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    • 제18권6호
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    • pp.3-8
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    • 1999
  • 본 연구에서는 신호원에 대한 사전 정보 없이 혼합된 신호로부터 잡음 신호만을 선택적으로 제거할 수 있는 새로운 형태의 능동 소음 제거기(Active noise canceller)를 제안한다. 음성신호와 같은 동특성을 갖는 신호의 분리에 효과적으로 사용되는 동적 재귀 신경망(Dynamic recurrent neural network)을 원하는 신호원에 섞인 잡음신호를 분리하여 선택적으로 제거하기 위한 능동 소음 제거기의 전처리기로 이용한다. 능동 소음 제거기는 분리된 잡음 신호에 대한 역위상 신호를 적응적으로 발생함으로써 특정 위치에서 원하는 신호만을 선택적으로 남길 수 있도록 한다. 컴퓨터 시뮬레이션을 통하여 제안된 시스템이 선택적인 소음제거에 효과적임을 보인다.

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폐기물의 분리 수거 및 재활용에 대한 의식조사 (Cititude to the source separation and recycling of domesticwaste.)

  • 정재춘;이무춘
    • 한국환경교육학회지:환경교육
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    • 제5권1호
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    • pp.62-70
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    • 1993
  • The study was performed to investigate the present situation of sourceseparation, recycling of domestic waste and citizen's attitude to them. The selected study area were Dobonggu in Seoul, Siheung city, Kimpogun. The result showed that most of the citizen in the selected area is performing source separation effort by group activity basis. However, there is no strong economic incentives for continuous source separation effect since the price of the recyclables is relatively low. For the recycled products, most people appears to think that the diversification of the product should be necessary for a bitter market competativeness. For the disporsable product, most citizen feels that free that supply in the public facilities should be prohibited.

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잡음 상황에서 DUET 블라인드 신호 분리 알고리즘과 스케일 계수 추정을 이용한 음향 반향신호 제거 (Acoustic Echo Cancellation using the DUET Algorithm and Scaling Factor Estimation)

  • 김경재;서재범;남상원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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    • pp.416-418
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    • 2006
  • In this paper, a new acoustic echo cancellation approach based on the DUET algorithm and scaling factor estimation is proposed to solve the scaling ambiguity in case of blind separation based acoustic echo cancellation in a noisy environment. In hands-free full-duplex communication system. acoustic noises picked up by the microphone are mixed with echo signal. For this reason, the echo cancellation system may provide poor performance. For that purpose, a degenerate unmixing estimation technique, adjusted in the time-frequency domain, is employed to separate undesired echo signals and noises. Also, since scaling and permutation ambiguities have not been solved in the blind source separation algorithm, kurtosis for the desired signal selection and a scaling factor estimation algorithm are utilized in this rarer for the separation of an echo signal. Simulation results demonstrate that the proposed approach yields better echo cancellation and noise reduction performances, compared with conventional methods.

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