• 한국수산과학회지
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• 제30권1호
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• pp.16-30
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• 1997

Application of digital filter to the wave analysis is studied using the observed data by wave gauge. Sea wave data obtained from wave gauge always include long wave frequency components. In order to estimate the sea wave parameters, we must re-analyzed wave data by using a digital filter and the concept of mean sea level correction method. By the wave by wave analysis and spectral methods, sea wave parameters on the basis of wave data obtained by the conventional method and digital filter are compared. The best-fitted design filter determined by the necessary conditions of frequency responses, can be obtained by calculating various transfer functions. Thus, to get the best the digital filter design, both Butterworth filter and Savitzky-Golay filter of digital filter are used in the frequency and time domain, respectively. Three cases of observation wave data are calculated by applying digital filter. The components of different frequency bands in the surf zone are coexisted in three cases. The wave data for wind wave components is computed using the digital filter the surf zone and off-surf zone, and based on the filtered data, wave parameters are calculated by the spectral analysis and wave by wave analysis methods, respectively. As a results, when sea wave data observed by wave gauge are analyzed, the Savitzky-Golay method is recommended which can well appear cut-off frequency by experimental choosing filter length in the time domain. The better mean sea level correction method is the Butterworth filter in the frequency domain.

• 정보학연구
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• 제9권1호
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• pp.33-39
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• 2006

This study is for the contents of development to the hardware system and software driving algorithm to implement the frequency band of about 7KHz los pass digital filter which has the cut-off frequency of 392Hz by interfacing of a microprocessor with its peripheral analog-to-digital converter chip and digital-to-analog converter chip. The simplicity of digital filter design without difficulty and the implementation of programmed digital filter can be realized by providing the interfacing method to implement the law pass digital filter for the biological signals and the realization method of computer algorithm by a microprocessor.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.842-846
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• 1987

This paper proves that a filter for scramble spectrum is realized by a periodically time-varying digital filter. Further, we propose a design method of this filter by using a bi-frequency map. As an example, we implemented this filter with Digital Signal Processor.

• ETRI Journal
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• 제38권1호
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• pp.164-173
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• 2016

Demosaicing, or color filter array (CFA) interpolation, estimates missing color channels of raw mosaiced images from a CFA to reproduce full-color images. It is an essential process for single-sensor digital cameras with CFAs. In this paper, a new demosaicing method for digital cameras with Bayer-like W-RGB CFAs is proposed. To preserve the edge structure when reproducing full-color images, we propose an edge direction-adaptive method using color difference estimation between different channels, which can be applied to practical digital camera use. To evaluate the performance of the proposed method in terms of CPSNR, FSIM, and S-CIELAB color distance measures, we perform simulations on sets of mosaiced images captured by an actual prototype digital camera with a Bayer-like W-RGB CFA. The simulation results show that the proposed method demosaics better than a conventional one by approximately +22.4% CPSNR, +0.9% FSIM, and +36.7% S-CIELAB distance.

• 자원환경지질
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• 제20권2호
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• pp.119-123
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• 1987

0차의 Hankel 변환은 Abel 변환과 Fourier 변환의 결합으로 나타낼 수 있다. 이 Abel-Fourier법은 샘플링 간격이 일정하지 않는 중합필터를 사용한 신속한 Abel 변환과 고속 Fourier 변환으로 작성될 때, 종래의 디지탈 선형필터법보다 계산시간면에서 유리하다. 그러나, Abel-Fourier법은 일반적으로 잘 설계된 디지탈 필터보다 정확하지는 않다. 전기탐사 문제에 이들 방법을 적용할 때, 디지탈 필터법이 Abel-Fourier 법보다 더 융통성이 많은 것으로 생각된다.

• 한국정보처리학회논문지
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• 제2권1호
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• pp.106-118
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• 1995

본 연구에서는 스케쥴링과 하드웨어 할당에 관련된 상위단계합성에서 최적설계 방법론을 효과적으로 변형된 시뮬레이티드 어닐링 기법을 사용하여 정립한다. 또한 정립된 기법을 디지탈필터(DF : digital filter)의 설계에 적용하여 파이프라인 DF 의 경우 최적설계시에 속도와 하드웨어의 최적의 절충 문제와 어레이 DF에서의 해석 에 관련된 문제점을 검토한다. 이러한 적용사례를 통해 제안된 방법이 보다 빠른 시간 에 향상된 비용함수값을 줄 수 있음이 확인되고 복잡한 디지탈필터 설계에 이용될 수 있음이 입증된다.

• Nuclear Engineering and Technology
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• 제4권3호
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• pp.181-185
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• 1972

원자로의 전달함수의 측정 data의 처리를 위하여 digital bandpass filter 방법을 고안하였다. 이 방법에 의한 처리는 외부잡음을 제거하는데 대단히 유효하다는 것이 판명되었다. 이 방법에 의한 계산 코드를 작성하였으며 계산기를 사용하여 수치휠러 의 주파수반응 및 수치처리를 삼각파형과 구형파형에 대하여 계산하였으며 그결과를 표시하였다. 이 방법의 오차와 제한사항에 대하여서도 언급하였다.

• ETRI Journal
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• 제26권6호
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• pp.545-554
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• 2004

In this paper, we propose an efficient design method for area optimization in a digital filter. The conventional methods to reduce the number of adders in a filter have the problem of a long critical path delay caused by the deep logic depth of the filter due to adder sharing. Furthermore, there is such a disadvantage that they use the transposed direct form (TDF) filter which needs more registers than those of the direct form (DF) filter. In this paper, we present a hybrid structure of a TDF and DF based on the flattened coefficients method so that it can reduce the number of flip-flops and full-adders without additional critical path delay. We also propose a resource sharing method and sharing-pattern searching algorithm to reduce the number of adders without deepening the logic depth. Simulation results show that the proposed structure can save the number of adders and registers by 22 and 26%, respectively, compared to the best one used in the past.

• Nuclear Engineering and Technology
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• 제26권2호
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• pp.205-211
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• 1994

로듐 자기출력형 중성자계측기에 대하여 3가지 디지탈 동적 보상방법을 개발 및 적용하여 가장 우수한 방법을 제시하였다. 3가지 디지탈 동적 보상방법은 기존 COLSS의 Dominant POL Tustin 방법과 Direct Inversion 방법 및 Kalman Filter 방법이다. 이 논문에서는 D. Hoppe와 R. Maletti의 Direct Inversion 방법을 개선하였으며 Kalman Filter를 이용한 방법을 개발하였다. 3가지 방법론을 비교한 결과 같은 Noise 중가 조건하에서 Step 중성자속 입력에 대한 90% 도달 시간이 각각 28.1초, 17.2초 및 6.5초로 나타나 Kalman Filter 방법이 가장 우수함을 알 수 있었다.

• 디지털산업정보학회논문지
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• 제8권3호
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• pp.41-48
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• 2012

In this paper, we propose a method of edge detection for noisy image. The proposed method uses a progressive filter for noise reduction and a Sobel operator for edge detection. The progressive filter combines a median filter and a modified rational filter. The proposed method for noise reduction adjusts rational filter direction according to an edge in the image which is obtained by median filtering. Our method effectively attenuates the noise while preserving the image details. Edge detection is performed by a Sobel operator. This operator can be implemented by integer operation and is therefore relatively fast. Our proposed method not only preserves edge, but also reduces noise in uniform region. Thus, edge detection is well performed. Our proposed method could improve results using further developed Sobel operator. Experimental results show that our proposed method has better edge detection with correct positions than those by existing median and rational filtering methods for noisy image.