• 제목/요약/키워드: 백색 변환

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Underwater transient signal detection based on CFAR Power-Law using Doubel-Density Discerte Wavelet Transform coefficient (Double-Density 이산 웨이블렛 변환의 계수를 이용한 CFAR Power-Law기반의 수중 천이 신호 탐지)

  • Jung, Seung-Taek;Cha, Dae-Hyun;Lim, Tae-Gyun;Kim, Jong-Hoon;Hwang, Chan-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.175-179
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    • 2007
  • To existing method which uses energy variation and spectrum deviation to detect the underwater transient signal is useful to detect white noise environment, but it is not useful to do colored noise environment. To improve capacity of detecting the underwater transient signal both in white noise environment and colored noise environment, this study takes advantage of Double Density Discrete Wavelet Transform and CFAR Power-Law.

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A Method of White Noise Reduction for Recognizing Cattle's Gulp Downing Sounds

  • Kwak, Ho-Young;Kim, Woo-Chan;Chang, Jin-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.153-161
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    • 2019
  • In this paper, we proposed a method to measure the feed intake of cattle using the cattle's gulp downing sounds. To measure the sound of cattle's gulp downing, the recording is performed through a wearable device attached to the cattle's neck. A lot of noises are recorded according to the ranching environment. This paper proposed a method for spectralizing raw gulping sound data containing white noise and removing white noise through the signal transformation using a filter. This allows the feed intake to be measured. Through the proposed white noise reduction method, it was possible to extract only the cattle's gulp downing sound, and through this, the number of cattle's gulp downing could be measured. The proposed method in this paper makes it possible to measure cattle's feed intake easily, so that estrus prediction, health care for cattle, and feed management can be done efficiently.

${\cdot}$병렬 회로의 백색 LED 조명램프 금속배선용 포토마스크 설계 및 제작

  • 송상옥;송민규;김태화;김영권;김근주
    • Proceedings of the Korean Society Of Semiconductor Equipment Technology
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    • 2005.05a
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    • pp.84-88
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    • 2005
  • 본 연구에서는 백색광원용 조명램프에 필요한 고밀도로 집적된 LED 어레이를 제작하기 위하여 반도체제조 공정에 필요한 포토마스크를 AutoCAD 상에서 설계하였으며 레이저 리소그래피 장비를 이용하여 포토마스크를 제작하였다. 웨이퍼상에 LED칩을 개별적으로 제작한 후 이들을 직렬 및 병렬로 금속배선하여 연결하였다. 특히 AutoCAD로 각 공정의 포토마스크 패턴을 설계 작업한 후 DWG 파일을 DXF 파일로 변환하여 레이저빔으로 스캔닝하였다. 이를 소다라임 유리판 위에 크롬을 증착한 후 각 패턴에 맞추어 식각 함으로써 포토마스크를 제작하였다. 또한 2인치 InGaN/GaN 다중 양자우물구조의 광소자용 에피박막이 증착된 사파이어 웨이퍼에 포토마스크를 활용하여 반도체 제조공정을 수행하였으며, 금속배선된 백색LED램프를 제작하였다.

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Prewhitening Method for LFM Reverberation by Linear Dechirping (선형 Dechirping 기법을 이용한 LFM 잔향의 백색화 기법)

  • Choi, Byung-Woong;Kim, Jeong-Soo;Lee, Kyun-Kyung
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.3
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    • pp.129-135
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    • 2007
  • In this paper. we propose a prewhitening method for the km reverberation to enhance the target signal. The proposed algorithm uses the dechirping method which inversely compensates the frequency chirp rate of LFM and transforms the LFM reverberation to have stationary frequency property in each data block. Also, using the left and right adjacent beam signals as reference signals. we model frequency response of each data block by AR coefficients. From these coefficients, we implement inverse filter and prewhiten the LFM reverberation of the center beam efficiently.

Voiced-Unvoiced-Silence Detection Algorithm using Perceptron Neural Network (퍼셉트론 신경회로망을 사용한 유성음, 무성음, 묵음 구간의 검출 알고리즘)

  • Choi, Jae-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.2
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    • pp.237-242
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    • 2011
  • This paper proposes a detection algorithm for each section which detects the voiced section, unvoiced section, and the silence section at each frame using a multi-layer perceptron neural network. First, a power spectrum and FFT (fast Fourier transform) coefficients obtained by FFT are used as the input to the neural network for each frame, then the neural network is trained using these power spectrum and FFT coefficients. In this experiment, the performance of the proposed algorithm for detection of the voiced section, unvoiced section, and silence section was evaluated based on the detection rates using various speeches, which are degraded by white noise and used as the input data of the neural network. In this experiment, the detection rates were 92% or more for such speech and white noise when training data and evaluation data were the different.

Analysis of De-noising by Thresholding (문턱치에 따른 잡음제거 분석)

  • Seo, Jung-Ick;Park, Eun-kyoo
    • Journal of the Korea society of information convergence
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    • v.6 no.2
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    • pp.45-49
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    • 2013
  • Electrocardiogram(ECG) signal noise as well as conducting other bio-signal measurement were generated. It was intened to enhance the accuracy of cadiac disease diagnosis with removing signal white-noise. Sampling signal was made with generating white-noise. The noise were removed using wavelet transforms and thresholding. Removed noise were compared numerical using SNR(signal to noise ratio). The results compared SNR showed that SURE method was 5.931, 4.9301 in 3, 5dB noise, uninversal was 3.6590, 1.9698 in 7, 9dB noise. De-noising by Thresholding removed noise effectively. ECG signal is expected to improve the accuracy of cadiac desease dianosis.

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Fast Lane Departure Warning System Based on Sub-Block Lane Detection (서브 블록 차선 검출에 기반을 둔 고속 차선이탈 경보 시스템)

  • Kim, Hye-Jin;Lee, Dong-Hee;Park, Kyeong-Won;Kang, Dong-Wook
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.11a
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    • pp.273-275
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    • 2011
  • 본 논문에서는 허프변환 및 HSV 색변환을 이용한 효율적인 차선검출의 최적화 알고리즘을 제안한다. 차선 검출의 고속화를 위해 차선과 카메라의 위치를 감안하여 고정된 관심영역(ROI_LB)을 정하고 검출 영역을 감소시킨다. 정해진 관심영역 내에서 허프변환을 적용해 차선을 검출하고 이를 위해 Sobel Mask와 Threshold를 사용한다. 또한, HSV 색 공간을 이용하여 황색 선과 백색 선을 구별해내며 차선 이동 시에 "MOVEMENT"이라는 문자열을, 중앙선을 넘어가면 "DANGEROUS"이라는 문자열을 출력한다. 제안하는 방법의 실험 결과는 복잡한 도로 동영상에서 효과적으로 차선을 인식하고 색 구별을 하였으며 제안 방법의 유효성을 검증하기 위해 다양한 실제 차선 패턴을 대상으로 한 실험결과를 제시한다.

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Denosing of images using locally adaptive wiener filter in wavelet domain (웨이브렛 변환 영역에서의 국부적응 Wiener 필터에 의한 영상 신호의 잡음 제거)

  • 장익훈;김남철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.12
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    • pp.2772-2782
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    • 1997
  • In this paepr, a Wiener filtering method in wavelet domain is proposed for restoring an image corrupted by additive white noise. The proposed method utilizes the characteristics of wavelet transform signals and the local statistics of each subband. When estimating the local statistics in each subband, the size of filter window is varied according to each scale. At this point, the local statistics in each wavelet subband is estimated only by using pixedls which have similar statistical property. Experimental results show that the proposed method has better performance over the conventional Lee filter with a window of fixed size.

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Sub-sampling Technique to Improve the Measurement Speed of White Light Scanning Interferometry (백색광 주사 간섭계의 측정 속도 개선을 위한 서브 샘플링 기법 연구)

  • Chyun, In-Bum;Joo, Ki-Nam
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.11
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    • pp.999-1006
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    • 2014
  • In this investigation, we explain the sub-sampling technique of white light scanning interferometry (WLSI) to improve the measurement speed. In addition to the previous work using Fourier domain analysis, several methods to extract the height from the correlogram of WLSI are described with the sub-sampling technique. Especially, Fourier-inverse Fourier transformation method adopting sub-sampling technique is proposed and the phase compensation technique is verified with simulation and experiments. The main advantage of sub-sampling is to speed up the measurements of WLSI but the precision such as repeatability is slightly poor. In case of measuring the sample which has high height step or difference, the proposed technique can be widely used to reduce the measurement time.