• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.145-145
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• 2000

In this paper, we propose a hybrid d-step predictor which is composed of an adaptive predictor and a Kalman predictor. We prove the performance limit of the proposed predictor. Simulation is conducted to examine the performance of the proposed predictor. Simulation results show that the proposed combined predictor is superior to the adaptive predictor and the Kalman predictor. Proposed predictor is used for prediction of gun tip vibration of k1 tank. The result is compared with that of conventional adaptive predictor.

• 대한전자공학회논문지
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• 제25권2호
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• pp.119-124
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• 1988

Real-time adaptive lattice predictor was implemented on the TMS32020 DSP chip for digital signal processing. The implemented system was composed of Input-Output units and centrla processing-control unit and its supporting assembly soft ware. The performance of hardware realization was verified by comparing input signal and one-step prediction signal which are calcualted by the real-time adaptive lattice predictor. As a result, for 4 stage lattice structure, the maximum running frequency was obtained as 6.41 KHz in this experiment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3295-3311
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• 2020

With the wide application of hyperspectral images, it becomes more and more important to compress hyperspectral images. Conventional recursive least squares (CRLS) algorithm has great potentiality in lossless compression for hyperspectral images. The prediction accuracy of CRLS is closely related to the correlations between the reference bands and the current band, and the similarity between pixels in prediction context. According to this characteristic, we present an improved CRLS with adaptive band selection and adaptive predictor selection (CRLS-ABS-APS). Firstly, a spectral vector correlation coefficient-based k-means clustering algorithm is employed to generate clustering map. Afterwards, an adaptive band selection strategy based on inter-spectral correlation coefficient is adopted to select the reference bands for each band. Then, an adaptive predictor selection strategy based on clustering map is adopted to select the optimal CRLS predictor for each pixel. In addition, a double snake scan mode is used to further improve the similarity of prediction context, and a recursive average estimation method is used to accelerate the local average calculation. Finally, the prediction residuals are entropy encoded by arithmetic encoder. Experiments on the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) 2006 data set show that the CRLS-ABS-APS achieves average bit rates of 3.28 bpp, 5.55 bpp and 2.39 bpp on the three subsets, respectively. The results indicate that the CRLS-ABS-APS effectively improves the compression effect with lower computation complexity, and outperforms to the current state-of-the-art methods.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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• pp.1422-1426
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• 1987

In this paper, an adaptive DPCM scheme is presented for encoding monochrome images with easy hardware implementation at a transmission rate of exactly 1 bit/pel. The system is mainly composed of a compensated mean predictor and an adaptive two-level quantizer with backward estimation. In this system, the predictor is a sort of two-dimensional ARMA predictor in which a moving-average part is added to the conventional mean predictor. The quantizer adapts to the local statistics of its input without overhead information. To reduce annoying granular noise in the reconstructed image, Lee filter is used after reconstruction in the receiver.

• 전기전자학회논문지
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• 제13권1호
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• pp.36-40
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• 2009

시간지연 시스템 제어에서 시스템 모델과 외란에 대한 정보를 정확히 구할 수 있으면 스미스 예측제어기를 이용하여 이상적인 출력 특성을 얻을 수 있다. 따라서 본 논문에서는 모델링 오차 및 외란이 존재하는 시간지연 시스템을 효과적으로 제어할 수 있는 적응제어 알고리즘을 제시하였다. 이를 위하여 시스템 모델과 외란을 검출 할 수 있는 적응관측자 및 적응 알고리즘을 제안하였으며 이 신호들을 이용한 스미스 예측제어기를 구성하였다. 그 결과 모델링 오차 및 외란의 영향을 소거할 수 있는 제어기를 설계 할 수 있었다. 이렇게 구성된 제어기에 대하여 컴퓨터 시뮬레이션을 행하여 제안된 시스템의 효용성 및 우수성을 입증하였다.

• 한국정보전자통신기술학회논문지
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• 제10권5호
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• pp.435-441
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• 2017

중간고조파는 주파수가 기본주파수의 정수배가 아니며 크기가 고조파에 비해 작으므로 중간고조파의 정확한 검출은 쉽지 않다. 본 논문에서는 필터뱅크 시스템과 적응 예측기를 이용하는 중간 고조파 검출 기법을 제안한다. 필터 뱅크 시스템에서는 입력신호를 부밴드로 분해한다. 적응 예측기에서는 분해된 부밴드 신호를 입력신호로, 오차신호를 출력으로 하여 중간고조파를 검출한다. 이럴 경우 적응예측기의 입출력 특성이 노치필터특성을 가지므로, 예측된 고조파신호가 오차신호에서 제거되므로 중간고조파 검출이 가능하다. 검출된 중간고조파의 크기와 주파수는 순환기법을 이용하여 추정한다. 제안 기법의 성능은 고조파와 중간고조파를 정현모델로 합성한 신호를 입력으로 사용하고, 시뮬레이션을 통해 중간고조파 검출결과를 평가한다. 그리고 중간고조파 검출 결과를 MUSIC, ESPRIT와 비교하여 제안기법의 타당성을 입증한다.

• 한국산학기술학회논문지
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• 제11권1호
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• pp.209-213
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• 2010

본 논문에서 엔트로피 코딩을 위한 효과적인 예측기를 제안한다. 제안하는 예측기는 MED(median edge detector)와 GAP(gradient adaptive prediction)의 예측 에러 중의 하나를 적응적으로 선택한다. 감소한 에러는 기존의 엔트로피 코딩 방법을 이용하여 부호화한다. 실험 결과, 제안하는 알고리즘이 기존 예측 방법보다 향상된 압축이 가능함을 보인다.

• 전기학회논문지
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• 제56권9호
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• pp.1676-1679
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• 2007

In control of the time delay systems, if the disturbance information can be estimated exactly, the ideal response for the disturbance can be achieved. Therefore, in this paper, a new adaptive disturbance observer for the time delay system control is proposed. The disturbance observer is designed and adaptive laws for adjusting the observer are proposed. The new Smith predictor controller to eliminate the effects of the disturbance can be achieved by adding an estimated disturbance to the Smith model. The improved performances of the proposed system and the adaptive disturbance observer are verified by computer simulation.

• 대한전기학회논문지
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• 제39권2호
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• pp.210-217
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• 1990

For the failure detection of dynamic systems, processing the residuals from the observer of the estimator is the most general method. A failure detection method which use an adaptive predictor to separate the effect of sensor failure from the additive noise in the residuals of a Kalman filter that is employed as an estimator of a dynamic system is addressed here. In the method, the property of the residuals of an optimal Kalman estimator is exploited. The simulation results of this method shows that the proposed method is superior to the sequential probability ratio test for a small failure magnitude.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.143-144
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• 2006

This paper presents an adaptive OFDM system with multistep predictor to effectively compensate multiple feedback delays. The proposed scheme adaptively changes the modulation order per subcarrier based on the predicted CSI to improve data capacity and system performance.