• Title/Summary/Keyword: Digital noise

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Design and implementation of digital delay locked loop (디지털 지연동기루프의 설계 및 구현)

  • 박형근;김성철;차균현
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.8
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    • pp.2043-2054
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    • 1996
  • In this paper, Digital Delay Locked Loop(DDLL) is designed, implemented and analysed by experiment whose results show that it is possible to track the received signal by this scheme. Designed digital DLL has an advantage that it is not needed to maintain gain balance between early and late channels, which has been problem with an analog DLL. Also DDLL has more improved noise performance compared to analog DLL due to noise level limitation and noise cancellation characteristics. For various loop parameters, their effects on loop performance are analysed and simulated. Proposed DDLL is the first attempt as a digital approach in code tracking loop and it is expected to be a good reference for spread spectrum communication research.

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Sensitivity Improvement Method for Color Capture Device At Low Illumination Conditions (Color Capture Device의 저조도 감도 향상 방안)

  • Kim, Il-Do;Jun, Jae-Sung;Choi, Byung-Sun;Park, Sahng-Gyu
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.235-236
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    • 2007
  • CCD(Charge-Coupled Device) 혹은 CMOS (Complementary Metal Oxide Semiconductor)와 같은 소자를 이용하여 빛을 전기적 신호인 Image로 재구성하는 촬상소자(Color Capture Device)는 촬영환경이 어두워지면 Dynamic Range가 작아지고, Noise가 상대적으로 심해진다[1][2]. 본 논문에서는 촬영 환경이 어두울 때, Resolution을 Preserving하는 Pixel Pitch가 큰 촬상 소자와 Motion Blur를 억제하는 Exposure Time이 긴 촬상 소자의 조합을 신호처리로 구현하여, 신호의 Power를 향상시켜 Dynamic Range를 키우고 Noise의 Boost-up을 억제하여 SNR(Signal to Noise Ratio)을 향상시키는 방식으로, 촬상 장치의 감도를 향상시켜 화질을 개선하는 방법을 제안한다.

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Noise Boost-up Prevention Method for Standard Color Transformation of Sensor Image Information (센서 이미지 정보의 표준 칼라 변환시 노이즈 Boost UP 방지 방안)

  • Jun, Jae-Sung;Kim, Il-Do;Choi, Byung-Sun;Park, Sahng-Gyu
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.247-248
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    • 2007
  • 본 논문에서는 이미지 센서의 Channel Spectral Sensitivity 특성과 CIE-Color Matching Function과의 관계를 고려하여, Color를 재구성함으로써 기존 영상의 색 정보를 그대로 복원하고, Color Error를 줄이는 방법을 제안한다. 특히 색변환 과정 중 Color Error를 줄일 때, 영상의 Edge와 Noise를 판별하여 Noise boost-up을 방지하고, 화질을 개선하는 방안을 제시한다.

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The Study on the Design and Implementation of SHF band Low Noise Amplifier of Digital Satellite Communication (디지털 위성 중계기용 SHF 대역 저잡음 증폭장치 설계 및 구현에 대한 연구)

  • Kim, Ki-Jung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.12
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    • pp.1159-1164
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    • 2016
  • This study describes the design and implementation of SHF band Low Noise Amplifier of Digital Satellite Communication. We have applied to HEMT part to minimize Noise Figure of system. and minimized the potential for the occurrence of such erroneous operation of equipment through the simulations of the space environment. We designed a reliable Low Noise Amplifier through simulation for a TID according to the vibration generated during the launch and space radiation environment, and compared pre-simulation of main performance results to test results about main performances of Low Noise Amplifier after production.

Image Restoration Algorithm using Lagrange Interpolation in Mixed Noise Environments (복합잡음 환경에서 Lagrange 보간법을 이용한 영상복원 알고리즘)

  • Kwon, Se-Ik;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.2
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    • pp.455-462
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    • 2015
  • Image media is used for the internet, computers and digital cameras as part of the core services of multimedia. Digital images can be easily acquired and processed, due to the development of digital home appliances and personal computers' application software. However, image degradation occurs by various external causes in the acquisition, processing and transmitting process of digital images, and its main cause is known to be noise. Therefore, this study proposed and conducted the simulation of image restoration filter algorithm that processes impulse noise and Gaussian noise by applying Lagrange interpolation and spatial weighted method according to distance, respectively. The proposed algorithm improved 8.77[dB], 8.83[dB] and 10.02[dB], respectively, compared to existing A-TMF, AWMF and MMF, as a result of processing by applying the damaged Girl images to impulse noise(P=60%) and Gaussian noise(${\sigma}=10$).

Digital Switching Filter Algorithm using Modified Fuzzy Weights and Combined Weights in Mixed Image Noise Environment (복합 영상 잡음 환경에서 변형된 퍼지가중치 및 결합가중치를 사용한 디지털 스위칭 필터 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.5
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    • pp.645-651
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    • 2021
  • With the advent of the Fourth Industrial Revolution, modern society uses a diverse pool of devices. In this context, there is increasing interest in removing various kinds of noise arising in data transmission. However, it is difficult to restore image that damaged by mixed noise, and a digital filter that effectively restores an image according to the characteristics of the noise is required. In this paper, we propose a digital switching filter algorithm to remove mixed noise generated during digital image transmission. The proposed algorithm switches the filtering process through noise judgment and reconstructs the image using fuzzy weights and combined weights based on the pixel values inside the mask. To evaluate the proposed algorithm, we compared it with existing filter algorithms through simulation. Filtering results were expanded and compared for visual evaluation, and PSNR comparison was used for quantitative evaluation.

Local Adaptive Noise Cancellation for MCG Signals Based on Wavelet Transform (웨이브릿 변환을 기반으로 한 심자도 신호의 국소 적응잡음제거)

  • 김용주;박희준;원철호;이용호;김인선;김명남;조진호
    • Progress in Superconductivity
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    • v.5 no.1
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    • pp.26-30
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    • 2003
  • Magneto-cardiogram(MCG) signals may be highly distorted by the environmental noise, such as power-line interference, broadband white noise, surrounding magnetic noise, and baseline wondering. Several kinds of digital filters and noise cancellation methods have been designed and realized by many researchers, but these methods gave some problems that the original signal may be distorted by digital filter due to the wideband characteristics of background noise. To eliminate noise effectively without distortion of MCG signals, we performed multi-level frequency decomposition using wavelet packets and local adaptive noise cancellation in each local frequency range. In addition to the proposed wavelet filter to eliminate these various non-stationary noise elements, the local adaptive filter using the least mean square(LMS) algorithm and the soft threshold do-noising method are introduced in this paper. The signal to noise ratio(SNR) and the reconstruction square error(RSE) are calculated to evaluate the performance of the proposed method and compared with the results of the conventional wavelet filter and adaptive filter. The experimental results show that the proposed local adaptive filtering method is better than the conventional methods.

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Image Restoration using Switching Filter in Mixed Noise Environment (복합잡음 환경에서 스위칭 필터를 이용한 영상 복원)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.484-486
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    • 2018
  • Recently, with the increase in use of digital equipment in various fields, the importance of image and signal processing is increasing. However, many types of noise are generated during transmission and reception of digital signal, causing errors. For this reason, noise removal is mandatorily performed during pre-processing phase in many fields. In the present paper, noise is classified through noise evaluation, and noise removal is performed to remove impulse noise and noise with AWGN-added noise. And, proposed is an algorithm which utilizes modified Gaussian filter and directional effective pixels according to noise type. Simulation results show superior noise-removal characteristics, and for objective evaluation, compared with conventional methods.

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A Study on Modified Median Filter Algorithm for Degraded Image of Impulse Noise (임펄스 잡음에 훼손된 영상을 위한 변형된 메디안 필터 알고리즘에 관한 연구)

  • Hong, Sang-Woo;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.798-800
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    • 2014
  • In recent years, according to the improvement of Digital image technology have been recently developed most of communication technology from multimedia communication service as well as image data transmission. But In the process of storing and transmitting noise is still generated in noise and the image degrades rapidly quality of a lot of image impulse noise. To eliminate this noise, SMF, CWMF, SWMF etc. The filters have been proposed to interfere with the noise characteristics of the filter are somewhat sufficient. Therefore, in this paper, in order to remove impulse noise is proposed a modified median filter. And impulse noise removal algorithms to confirm the existed PSNR(peak signal to noise ratio) from using conventional methods were compared.

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Simultaneous Switching Noise Reduction Technique in Multi-Layer Boards using Conductive Dielectric Substrate (전도성 운전기판을 이용한 다층기판에서의 Simultaneous Switching Noise 감소 기법)

  • 김성진;전철규;이해영
    • Proceedings of the International Microelectronics And Packaging Society Conference
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    • 1999.11a
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    • pp.33-36
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    • 1999
  • In this paper, we proposed a simultaneous switching noise(SSN) reduction technique in muti-layer beards(MLB) for high-speed digital applications and analyzed them using the Finite Difference Time Domain(FDTD) method. The new method by conductive dielectric substrates reduces SSN couplings and resonances, significantly, which cause series malfunctions in the modem high-speed digital applications.

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