• Title/Summary/Keyword: Error Reduction

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Implementation of Adaptive Noise Canceller with Instantaneous Gain (순시 이득을 이용한 적응잡음제거기 구현)

  • Lee, Jae-Kyun;Kim, Chun-Sik;Lee, Chae-Wook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.8C
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    • pp.756-763
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    • 2009
  • The Least Mean Square (LMS) algorithm is often used to restore signal corrupted by additive noise. A major defect of this algorithm is that the excess Mean Square Error (EMSE) increases linearly according to speech signal power. This result reduces the efficiency of performance significantly due to the large EMSE around the optimum value. Choosing a small step size solves this defect but causes a slow rate of convergence. The step size must be optimized to satisfy a fast rate of convergence and minimize EMSE. In this paper, the Instantaneous Gain Control (IGC) algorithm is proposed to deal with the situation as it exists in speech signals. Simulations were carried out using a real speech signal combined with Gaussian white noise. Results demonstrate the superiority of the proposed IGC algorithm over the LMS algorithm in rate of convergence, noise reduction and EMSE.

A Study of f-${\theta}$ Lens Design for Axisymmetric Spherical Surface for RGB Laser Display and its applications (RGB 레이저 가시화를 위한 축대칭 구면 f-${\theta}$ 렌즈 설계 및 프로젝션응용)

  • Lee, Y.M.;Choi, H.W.
    • Laser Solutions
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    • v.14 no.2
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    • pp.24-29
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    • 2011
  • The design of a telecentric f-${\theta}$ lens with a field of view (FOV) $30^{\circ}$ and an effective focal length of 1000mm is presented. The optical stop is placed at the front plane and the design is based on a geometric ray tracing technique, and the designed system consists of a series of convex and concave lenses. The designed f-${\theta}$ lens showed a considerable reduction in weight with a simplified structure and resulted in a good performance in the designated FOV. Detail analysis of rays is also presented. 653nm (red laser), 586nm (green laser), and 468nm (blue laser) were simulated as a light source and image illuminating source. The developed optical design requires 7 pieces of lenses made of SF1, N-FK56, N-LAK33, and BK7 glass materials. With optimal parametric design, the effective focal length was calculated to be 974.839mm which is very close to the initial design target. For the manufacturing purpose, the dimensions of lens curvature and thickness were truncated with error ranging 0.1% to 3.2%. As a result, the overall error was calculated to be 3.2% which can be still tolerable for display, laser material, and machining processing.

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Ground Experiment of Spacecraft Attitude Control Using Hardware Testbed

  • Oh, Choong-Suk;Bang, Hyo-Choong
    • International Journal of Aeronautical and Space Sciences
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    • v.4 no.1
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    • pp.75-87
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    • 2003
  • The primary objective of this study is to demonstrate ground-based experiment for the attitude control of spacecraft. A two-axis rotational simulator with a flexible ann is constructed with on-off air thrusters as actuators. The simulator is also equipped with payload pointing capability by simultaneous thruster and DC servo motor actuation. The azimuth angle is controlled by on-off thruster command while the payload elevation angle is controlled by a servo-motor. A thruster modulation technique PWM(Pulse Width Modulation) employing a time-optimal switching function plus integral error control is proposed. An optical camera is used for the purpose of pointing as well as on-board rate sensor calibration. Attitude control performance based upon the new closed-loop control law is demonstrated by ground experiment. The modified switching function turns out to be effective with improved pointing performance under external disturbance. The rate sensor calibration technique by Kalman Filter algorithm led to reduction of attitude error caused by the bias in the rate sensor output.

Calibration Techniques for Low-Level Current Measurement in the Characteristic Analysis System for Semiconductor Devices (저전류 측정을 위한 반도체 소자 특성 분석 시스템에서의 보상 기법)

  • Choi, In-Kyu;Park, Jong-Sik
    • Journal of Sensor Science and Technology
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    • v.11 no.2
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    • pp.111-117
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    • 2002
  • In this paper, we proposed calibration techniques to improve measurement accuracy in the characteristic analysis system for semiconductor devices. Systematic errors can be reduced using proposed calibration techniques. Also, error current reduction procedures including leakage current and offset current are proposed to measure low-level current in pA level. Calibration parameters are calculated and stored by microprocessor using least-square fitting with measured sample data. During measurement time microprocessor corrects measured data using stored calibration parameters. Experimental results show that current measurement error above nA level is less than 0.02%. And they also show that current measurement in pA level can be performed with about 0.2% accuracy.

Reduction of Computing Time through FDM using Implicit Method and Latent Heat Treatment in Solidification Analysis (FDM에 의한 응고해석시 계산시간 단축을 위한 음적해법의 적용과 잠열처리방법)

  • Kim, Tae-Gyu;Choi, Jung-Kil;Hong, Jun-Pyo;Lee, Zin-Hyoung
    • Journal of Korea Foundry Society
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    • v.13 no.4
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    • pp.323-332
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    • 1993
  • An implicit finite difference formulation with three methods of latent heat treatment, such as equivalent specific heat method, temperature recovery method and enthalpy method, was applied to solidification analysis. The Neumann problem was solved to compare the numerical results with the exact solution. The implicit solutions with the equivalent specific heat method and the temperature recovery method were comparatively consistent with the Neumann exact solution for smaller time steps, but its error increased with increasing time step, especially in predicting the solidification beginning time. Although the computing time to solve energy equation using temperature recovery method was shorter than using enthalpy method, the method of releasing latent heat is not realistic and causes error. The implicit formulation of phase change problem requires enthalpy method to treat the release of latent heat reasonably. We have modified the enthalpy formulation in such a way that the enthalpy gradient term is not needed, and as a result of this modification, the computation stability and the computing time were improved.

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A 18-Mbp/s, 8-State, High-Speed Turbo Decoder

  • Jung Ji-Won;Kim Min-Hyuk;Jeong Jin-Hee
    • Journal of electromagnetic engineering and science
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    • v.6 no.3
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    • pp.147-154
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    • 2006
  • In this paper, we propose and present implementation results of a high-speed turbo decoding algorithm. The latency caused by (de) interleaving and iterative decoding in a conventional maximum a posteriori(MAP) turbo decoder can be dramatically reduced with the proposed design. The source of the latency reduction is come from the combination of the radix-4, dual-path processing, parallel decoding, and rearly-stop algorithms. This reduced latency enables the use of the turbo decoder as a forward error correction scheme in real-time wireless communication services. The proposed scheme results in a slight degradation in bit-error rate(BER) performance for large block sizes because the effective interleaver size in a radix-4 implementation is reduced to half, relative to the conventional method. Fixed on the parameters of N=212, iteration=3, 8-states, 3 iterations, and QPSK modulation scheme, we designed the adaptive high-speed turbo decoder using the Xilinx chip (VIRTEX2P (XC2VP30-5FG676)) with the speed of 17.78 Mb/s. From the results, we confirmed that the decoding speed of the proposed decoder is faster than conventional algorithms by 8 times.

A Comprehensive Performance Evaluation in Collaborative Filtering (협업필터링에서 포괄적 성능평가 모델)

  • Yu, Seok-Jong
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.4
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    • pp.83-90
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    • 2012
  • In e-commerce systems that deal with a large number of items, the function of personalized recommendation is essential. Collaborative filtering that is a successful recommendation algorithm, suffers from the sparsity, cold-start, and scalability restrictions. Additionally, this work raises a new flaw of the algorithm, inconsistent performance of recommendation. This is also not measurable by the current MAE-based evaluation that does not consider the deviation of prediction error, and furthermore is performed independently of precision and recall measurement. To evaluate the collaborative filtering comprehensively, this work proposes an extended evaluation model that includes the current criteria such as MAE, Precision, Recall, deviation, and applies it to cluster-based combined collaborative filtering.

Design of a Neuro Observer for Reduction of Estimate Error (추정오차 저감을 위한 뉴로 관측기 설계)

  • Nam Moon-Hyon;Yoon Kwang-Ho
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.5
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    • pp.285-290
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    • 2005
  • The state observer is being used widely because it has the advantage of the guarantee of reliability on financial problem, over heating, and physical shock. However, an Luenberger observer and a Sliding observer have such problems that an experimenter needs to know dynamics and parameters of the system. And also, the high gain observer has such a problem that it has transient state at the beginning of the observation. In this paper, the Neuro observer is proposed to improve these problems. The proposed Neuro observer complement a problem that occur from increase of gain of High-gain observer in proportion to the square number of observable state variables. And also, the proposed Neuro observer can tune the gain obtained by differentiating observational error at transient state automatically by using the backpropagation training method to stabilize the observational speed. To prove a performance of the proposed observer, it is simulated that the comparison between the state estimate performance of the proposed observer and that of Sliding, High gain observer is made by using a sinusoidal input to the observer which consists of four layers in stable 2nd order system.

Quantitative Evaluation of Sparse-view CT Images Obtained with Iterative Image Reconstruction Methods (반복적 연산으로 얻은 Sparse-view CT 영상에 대한 정량적 평가)

  • Kim, H.S.;Gao, Jie;Cho, M.H.;Lee, S.Y.
    • Journal of Biomedical Engineering Research
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    • v.32 no.3
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    • pp.257-263
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    • 2011
  • Sparse-view CT imaging is considered to be a solution to reduce x-ray dose of CT. Sparse-view CT imaging may have severe streak artifacts that could compromise the image qualities. We have compared quality of sparseview images reconstructed with two representative iterative reconstruction techniques, SIRT and TV-minimization, in terms of image error and edge preservation. In the comparison study, we have used the Shepp-Logan phantom image and real CT images obtained with a micro-CT. In both phantom image and real CT image tests, TV-minimization technique shows the best performance in error reduction and preserving edges. However, the excessive computation time of TV-minimization is a technical challenge for the practical use.

Efficient FIR Upsample Circuit (효율적인 FIR Upsample 회로)

  • Kim, Yong-Eun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.2
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    • pp.108-113
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    • 2009
  • FIR upsampling circuit generates output data L times faster than input data. For efficient implementation of upsampler, FT filter stages Noble identity theory. In this paper, we propose a method that one of the divided filter stages is removed by making Phase delay to integer number. 192taps 2-times upsampler used in CDtoDAT is designed using proposed method. The designed circuit is synthesized using Hynix 0.18um process. By the simulation results, it is shown that the proposed method leads to up to 48%, 43% and 99.9% and 68% reduction in area, power consumption and maximum phase delay error and maximum ripple error compared with conventional method.