• 제목/요약/키워드: fast-algorithm

검색결과 3,694건 처리시간 0.035초

A Frequency Domain Equalization Algorithm for Fast Time-Varying Fading Channels

  • Tran, Le-Nam;Hong, Een-Kee;Liu, Huaping
    • Journal of Communications and Networks
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    • 제11권5호
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    • pp.473-479
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    • 2009
  • Conventional frequency domain equalization (FDE) schemes were originally devised for quasi-static channels. Thus, such equalization schemes could suffer from significant performance degradation in fast-fading channels. This paper proposes a frequency domain equalization algorithm to mitigate the effect of fast time-varying fading. First, a mathematical expression is derived to quantify the total interference resulting from the time variation of the channel. Then, the proposed approach attempts to eliminate the effect of time-variations of the channel. This cancellation allows efficient use of the classical FDE structures in fast time-varying fading environments, although they are built upon the quasi-static channel model. Simulation results of bit-error-rate performance are provided to demonstrate the effectiveness of the proposed algorithm.

고속하다마드 변환을 이용한 적응 필터의 구현 (Implementation of adaptive filters using fast hadamard transform)

  • 곽대연;박진배;윤태성
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.1379-1382
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    • 1997
  • We introduce a fast implementation of the adaptive transversal filter which uses least-mean-square(LMS) algorithm. The fast Hadamard transform(FHT) is used for the implementation of the filter. By using the proposed filter we can get the significant time reduction in computatioin over the conventional time domain LMS filter at the cost of a little performance. By computer simulation, we show the comparison of the propsed Hadamard-domain filter and the time domain filter in the view of multiplication time, mean-square error and robustness for noise.

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움직임 벡터 추정을 위한 고속 적응 블럭 정합 알고리즘 (Fast adaptive block matching algorithm for motion vector estimation)

  • 신용달;이승진;김경규;정원식;김영춘;이봉락;장종국;이건일
    • 전자공학회논문지S
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    • 제34S권9호
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    • pp.77-83
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    • 1997
  • We present a fast adaptive block matching algorithm using variable search area and subsampling to estimate motion vector more exactly. In the presented method, the block is classified into one of three motion categories: zero motion vector block, medium-motion bolck or high-motion block according to mean absolute difference of the block. By the simulation, the computation amount of the presented methoe comparable to three step search algorithm and new three step search algorithm. In the fast image sequence, the PSNR of our algorithm increased more than TSS and NTSS, because our algorithm estimated motion vector more accurately.

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ModifiedFAST: A New Optimal Feature Subset Selection Algorithm

  • Nagpal, Arpita;Gaur, Deepti
    • Journal of information and communication convergence engineering
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    • 제13권2호
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    • pp.113-122
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    • 2015
  • Feature subset selection is as a pre-processing step in learning algorithms. In this paper, we propose an efficient algorithm, ModifiedFAST, for feature subset selection. This algorithm is suitable for text datasets, and uses the concept of information gain to remove irrelevant and redundant features. A new optimal value of the threshold for symmetric uncertainty, used to identify relevant features, is found. The thresholds used by previous feature selection algorithms such as FAST, Relief, and CFS were not optimal. It has been proven that the threshold value greatly affects the percentage of selected features and the classification accuracy. A new performance unified metric that combines accuracy and the number of features selected has been proposed and applied in the proposed algorithm. It was experimentally shown that the percentage of selected features obtained by the proposed algorithm was lower than that obtained using existing algorithms in most of the datasets. The effectiveness of our algorithm on the optimal threshold was statistically validated with other algorithms.

FHT를 이용한 RM부호 인식 알고리즘 (Recognition Algorithm for RM Codes Using Fast Hadamard Transform)

  • 강인식;이현;이재환;윤상범;박철순;송영준
    • 한국통신학회논문지
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    • 제37권1A호
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    • pp.43-50
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    • 2012
  • 잡음이 존재하는 채널을 통하여 디지털 통신을 하는 경우 잡음으로 인한 오류를 검출, 정정하기 위하여 채널 부호화 기법이 사용된다. 채널 부호화 된 신호가 전송이 되었을 때 수신 측에서 채널 부호화 기법의 종류와 생성 파라미터를 알지 못한다면 신호의 복호는 어렵게 된다. 본 논문에서는 FHT(Fast Hadamard Transform)를 사용한 RM(Reed-Muller) 부호 파라미터 인식 알고리즘을 제안한다. 제안된 알고리즘은 FHT 결과 값의 특성을 이용하여 RM 부호를 판별하고 생성 파라미터를 추정한 후 복호를 수행한다. 또한 제안된 알고리즘을 AWGN 채널 환경에서 시뮬레이션을 통하여 검증한다.

VHDL을 이용한 고속 움직임 예측기 설계 (Design of Fast Search Algorithm for The Motion Estimation using VHDL)

  • 김진연;박노경;진현준;윤의중;박상봉
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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    • pp.183-186
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    • 2000
  • Motion estimation technique has been used to increase video compression rates in motion video applications. One of the important algorithms to implement the motion estimation technique is search algorithm. Among many search algorithms, the H.263 adopted the Nearest Neighbors algorithm for fast search. In this paper, motion estimation block for the Nearest Neighbors algorithm is designed on FPGA and coded using VHDL and simulated under the Xilinx foundation environments. In the experiment results, we verified that the algorithm was properly designed and performed on the Xilinx FPGA(XCV300Q240)

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A COOLEY-TUKEY MODIFIED ALGORITHM IN FAST FOURIER TRANSFORM

  • Kim, HwaJoon;Lekcharoen, Somchai
    • Korean Journal of Mathematics
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    • 제19권3호
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    • pp.243-253
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    • 2011
  • We would like to propose a Cooley-Tukey modied algorithm in fast Fourier transform(FFT). Of course, this is a kind of Cooley-Tukey twiddle factor algorithm and we focused on the choice of integers. The proposed algorithm is better than existing ones in speeding up the calculation of the FFT.

고속 웨이브렛 변환 적응알고리즘을 이용한 적응잡음제거기에 관한 연구 (Adaptive Noise Canceler Using Fast Wavelet Transform Adaptive Algorithm)

  • 이채욱;박세기;오신범;강명수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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    • pp.179-182
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    • 2002
  • In this paper, we propose a wavelet based adaptive algorithm which improves the convergence speed and reduces computational complexity using the fast running FIR filtering efficiently We compared the performance of the proposed algorithm with time and frequence domain adaptive algorithm using computer simulation of adaptive noise canceler based on synthesis speech. As the result, the proposed algorithm is suitable for adaptive signal processing area using speech or acoustic field.

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270 MHz Full HD H.264/AVC High Profile Encoder with Shared Multibank Memory-Based Fast Motion Estimation

  • Lee, Suk-Ho;Park, Seong-Mo;Park, Jong-Won
    • ETRI Journal
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    • 제31권6호
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    • pp.784-794
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    • 2009
  • We present a full HD (1080p) H.264/AVC High Profile hardware encoder based on fast motion estimation (ME). Most processing cycles are occupied with ME and use external memory access to fetch samples, which degrades the performance of the encoder. A novel approach to fast ME which uses shared multibank memory can solve these problems. The proposed pixel subsampling ME algorithm is suitable for fast motion vector searches for high-quality resolution images. The proposed algorithm achieves an 87.5% reduction of computational complexity compared with the full search algorithm in the JM reference software, while sustaining the video quality without any conspicuous PSNR loss. The usage amount of shared multibank memory between the coarse ME and fine ME blocks is 93.6%, which saves external memory access cycles and speeds up ME. It is feasible to perform the algorithm at a 270 MHz clock speed for 30 frame/s real-time full HD encoding. Its total gate count is 872k, and internal SRAM size is 41.8 kB.

새로운 Fast running FIR filter구조를 이용한 웨이블렛 기반 적응 알고리즘에 관한 연구 (A Wavelet based Adaptive Algorithm using New Fast Running FIR Filter Structure)

  • 이재균;박재훈;이채욱
    • 한국통신학회논문지
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    • 제32권1C호
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    • pp.1-8
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    • 2007
  • 적응신호처리 분야에서 LMS(Least Mean Squar) 알고리즘은 수식이 간단하고, 적은 계산량으로 인해 널리 사용되고 있지만, 시간영역의 적응알고리즘은 입력신호의 고유치 분포폭이 넓게 분포할 때는 수렴속도가 느려지는 단점이 있다. 본 논문에서는 적응 신호처리의 수렴속도를 향상 시키고, 기존의 wavelet 변환을 고속으로 처리하는 고속화 알고리즘과 비교하여 적은 계산량으로 동일한 성능을 보이는 새로운 형태의 fast running FIR 필터 구조를 제안한다. 제안한 구조를 웨이블렛 기반 적응 알고리즘에 적용하였다. 실제로 합성 음성을 사용하여 컴퓨터 시뮬레이션을 통해 기존의 알고리즘과 비교 및 분석한 결과 제안한 알고리즘의 성능이 우수한 것을 알 수 있었다.