• 제목/요약/키워드: standard domain

검색결과 714건 처리시간 0.025초

Shuffled Discrete Sine Transform in Inter-Prediction Coding

  • Choi, Jun-woo;Kim, Nam-Uk;Lim, Sung-Chang;Kang, Jungwon;Kim, Hui Yong;Lee, Yung-Lyul
    • ETRI Journal
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    • 제39권5호
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    • pp.672-682
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    • 2017
  • Video compression exploits statistical, spatial, and temporal redundancy, as well as transform and quantization. In particular, the transform in a frequency domain plays a major role in energy compaction of spatial domain data into frequency domain data. The high efficient video coding standard uses the type-II discrete cosine transform (DCT-II) and type-VII discrete sine transform (DST-VII) to improve the coding efficiency of residual data. However, the DST-VII is applied only to the Intra $4{\times}4$ residual block because it yields relatively small gains in the larger block than in the $4{\times}4$ block. In this study, after rearranging the data of the residual block, we apply the DST-VII to the inter-residual block to achieve coding gain. The rearrangement of the residual block data is similar to the arrangement of the basis vector with a the lowest frequency component of the DST-VII. Experimental results show that the proposed method reduces the luma-chroma (Cb+Cr) BD rates by approximately 0.23% to 0.22%, 0.44% to 0.58%, and 0.46% to 0.65% for the random access, low delay B, and low delay P configurations, respectively.

DISCRETE MODEL REDUCTION OVER DISC-TYPE ANALYTIC DOMAINS AND $\infty$-NORM ERROR BOUND

  • Oh, Do-Chang;Lee, Kap-Rai;Um, Tae-Ho;Park, Hong-Bae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.64-68
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    • 1996
  • In this note, we propose the discrete model reduction method over disc-type analytic domains. We define Hankel singular value over the disc that is mapped by standard bilinear mapping. And GSPA(generalized singular perturbation approximation) and DT(direct truncation) are generalized to GSPA and DT over a disc. Furthermore we show that the reduced order model over a smaller domain has a smaller L$_{\infty}$ norm error bound..

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Scheduling for Virtual MIMO in Single Carrier FDMA (SC-FDMA) System

  • Kim, Jinwoo;Hwang, In Seok;Kang, Chung Gu
    • Journal of Communications and Networks
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    • 제17권1호
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    • pp.27-33
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    • 2015
  • In this paper, we consider a joint frequency-domain scheduling and user-pairing problem for virtual MIMO in the single carrier frequency division multiple access (SC-FDMA) system, e.g., the uplink transmission for third generation partnership project-long term evolution (3GPP-LTE) standard. Due to the subcarrier adjacency constraint inherent to SC-FDMA, its complexity becomes unmanageable. We propose a greedy heuristic algorithm for PF scheduling so as to deal with the complexity issue in this joint problem. It has been shown that its performance can reach up to 90% of its upper bound.

웨이블릿 계수 특성을 이용한 대비 개선에 관한 연구 (A new approach for contrast enhancement using the properties of wavelet coefficients)

  • 박태준;엄민영;최윤식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.175-177
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    • 2004
  • The current JPEG-2000 standard is a wavelet based scheme because wavelet transform have some advantages compare to DCT transform. In compressed images, there are some image degradation factors like contrast distortion by Quantization process. This factor is very important to HVS (Human Visual System). Therefore, In this paper, we propose a new algorithm for contrast enhancement using the properties of wavelet coefficients. This algorithm is processed in the wavelet domain and so it can be applied efficiently to JPEG-2000.

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Financial Data Mining Using Time delay Neural Networks

  • Kim, Hyun-Jung;Shin, Kyung-Shik
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.122-127
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    • 2001
  • This study investigates the effectiveness of time delay neural networks(TDNN) for the time dependent prediction domain. Although it is well-known fact that the back-propagation neural network(BPN) performs well in pattern recognition tasks, the method has some limitations in that it can only learn an input mapping of static (or spatial) patterns that are independent of time of sequences. The preliminary results show that the accuracy of TDNN is higher than the standard BPN with time lag. Our proposed approaches are demonstrated by the stork market prediction domain.

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시스템 엔지니어링 공통 프로세스 개선 연구 : 기술 프로세스를 중심으로 (A Systems Engineering Process Refinement : Focused on Technical Process)

  • 이태경;이중윤
    • 시스템엔지니어링학술지
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    • 제13권1호
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    • pp.41-50
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    • 2017
  • Systems engineering is being applied to various fields of industry such as national defense, aerospace, transportation, railway, and information technology industries. But in Korea, systems engineering has been selectively applied to government-driven projects such as space rocket development projects and unmanned flight development projects. And systems engineering processes introduced from international systems engineering standards has been directly applied to those projects. Unfortunately, this application method is not recommended as it requires highly experienced systems engineers. From our previous paper, we have proposed that domain specific engineering standards should be developed to be used as references for development of organizational engineering guide, so that more successful engineering performances can be achieved. And in this paper we have proposed a refinement of systems engineering processes from international systems engineering standards as they are bases of domain specific engineering standards.

수정된 엘만신경망을 이용한 외환 예측 (Predicting Exchange Rates with Modified Elman Network)

  • ;박범조
    • 지능정보연구
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    • 제3권1호
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    • pp.47-68
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    • 1997
  • This paper discusses a method of modified Elman network(1990) for nonlinear predictions and its a, pp.ication to forecasting daily exchange rate returns. The method consists of two stages that take advantages of both time domain filter and modified feedback networks. The first stage straightforwardly employs the filtering technique to remove extreme noise. In the second stage neural networks are designed to take the feedback from both hidden-layer units and the deviation of outputs from target values during learning. This combined feedback can be exploited to transfer unconsidered information on errors into the network system and, consequently, would improve predictions. The method a, pp.ars to dominate linear ARMA models and standard dynamic neural networks in one-step-ahead forecasting exchange rate returns.

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Nonlinear Feedback Linearization-H\ulcorner/Sliding Mode Controller Design for Improving Transient Stability in a Power System

  • Lee, Sang-Seung;Park, Jong-Keun
    • Journal of Electrical Engineering and information Science
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    • 제3권2호
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    • pp.193-201
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    • 1998
  • In this paper, the standard Dole, Glover, Khargoneker, and Francis (abbr. : DGKF 1989) H\ulcorner controller (H\ulcornerC) is extended to the nonlinear feedback linearization-H\ulcorner/sliding mode controller (NFL-H\ulcorner/SMC), to tackle the problem of the unmeasurable state variables as in the conventional SMC, to obtain smooth control as the linearized controller in a linear system, and to improve the time-domain performance under a worst scenario. The proposed controller is obtained by combining the H\ulcorner estimator with the nonlinear feedback linearization-sliding mode controller (NFL-SMC) and it does not need to measure all the state variables as in the traditional SMC. The proposed controller is applied as a nonlinear power system stabilizer (PSS) for the improvement of the power system damping characteristics of an single machine infinite bus system (SMIBS) connected through a double circuit line. The effectiveness of the proposed controller is verified by nonlinear time-domain simulation in case of a 3-cycle line-to-ground fault and in case of the parameter variations for the AVR gain K\ulcorner and for the inertia moment M.

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FM 방식을 이용한 디지탈 악기음 합성기의 구현 (Realization of Digital Music Synthesizer Using a Frequency Modulation)

  • 주세철;김진범;김기두
    • 전자공학회논문지B
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    • 제32B권7호
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    • pp.1025-1035
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    • 1995
  • In this paper, we realize a real time digital FM synthesizer based on genetic algorithm using a general purpose digital signal processor. Especially, we synthesize diverse music sounds nicely using a synthesis model consisting of a single modulator and multiple carriers. Also we present genetic algorithm-based technique which determines optimal parameters for reconstruction through FM synthesis of a sound after analyzing the spectrum of PCM data as a standard music sound using FFT. Using the suggested parameter extractiuon algorithm, we extract parameters of several instruments and then synthesize digital FM sounds. To verify the validity of the parameter extraction algorithm as well as realization of a real time digital music synthesizer, the evaluation is first done by listening the sound directly as subjective test. Secondly, to evaluate the synthesized sound objectively with an engineering sense, we compare the synthesized sound with an original one in a time domain and a frequency domain.

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시간 영역 유한 차분법(FDTD)을 이용한 비등분 Wilkinson 전력 분배기의 해석 (An Analysis of the Unequal Wilkinson Power Divider Using the Finite-Difference Time-Domain (FDTD) Method)

  • 김광조;김형훈;김형동
    • 한국전자파학회논문지
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    • 제9권6호
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    • pp.715-724
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    • 1998
  • 비둥분 Wilkinson 전력 분배기의 해석을 위해서 유한 차분 시간 영역 해석법올 적용하였다. 비등분 Wilkinson전력 분배기는 복잡한 구조로 이루어져 있어 기존의 Yee셀 모델링 방법을 사용하는 것은 적당하지 않다. 본 논문에서는, 비균등 직교 그리딩과 서브셀 모텔링 방법을 사용하여 비둥분 Wilkinson 전력 분배 기의 특성을 넓은 주파수 범위에서 정확하게 구하였다. 수치 해석 결과를 비교하기 위해서 회로 시뮬레이터 의 결과와 함께 제시 하였다.

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