• 제목/요약/키워드: Correlation Noise Modeling

검색결과 26건 처리시간 0.022초

GPS 이동측위를 위한 프로세스 잡음 모델링 (Modeling of Stochastic Process Noises for Kinematic GPS Positioning)

  • 홍창기
    • 한국측량학회지
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    • 제33권2호
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    • pp.123-129
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    • 2015
  • 알고리즘의 유연성 및 효율성으로 인해 GPS 이동측위 시 칼만필터가 주로 사용되어 왔으며 동시에 다양한 계통오차의 제거가 가능한 상대측위 기법이 널리 사용되어 왔다. 하지만 기선의 길이가 길어지게 되면 상대측위 기법을 사용하더라도 대기효과를 충분히 제거하기 어렵기 때문에 이 경우 제거되지 않고 남아 있는 대기효과를 상태벡터에 추가하여 추정을 하기도 한다. 칼만필터를 이용하는 경우 일반적으로 대기효과는 랜덤워크 혹은 일차가우스-마르코프 프로세스로 모델링하게 되는데 이때 프로세스 잡음에 대한 정확한 모델링이 필수적이다. 본 연구에서는 대기효과에 해당되는 프로세스 잡음 모델링을 위해 필요한 매개변수를 결정하였다. 이를 위해 이중차분 전리층 지연값과 천정방향 습윤지연값을 이용하여 실험적 자기상관함수를 계산하였으며 이를 통해 프로세스 잡음 모델링에 필요한 매개변수를 계산하였다. 결정된 매개변수값들은 유사한 대기환경에서 취득된 데이터에 대한 프로세스 잡음 모델링 시 직접 사용될 수 있으며 유사한 대기환경이 아닌 경우일 지라도 초기 근사값으로 활용될 수 있을 것이다.

Image Denoising for Metal MRI Exploiting Sparsity and Low Rank Priors

  • Choi, Sangcheon;Park, Jun-Sik;Kim, Hahnsung;Park, Jaeseok
    • Investigative Magnetic Resonance Imaging
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    • 제20권4호
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    • pp.215-223
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    • 2016
  • Purpose: The management of metal-induced field inhomogeneities is one of the major concerns of distortion-free magnetic resonance images near metallic implants. The recently proposed method called "Slice Encoding for Metal Artifact Correction (SEMAC)" is an effective spin echo pulse sequence of magnetic resonance imaging (MRI) near metallic implants. However, as SEMAC uses the noisy resolved data elements, SEMAC images can have a major problem for improving the signal-to-noise ratio (SNR) without compromising the correction of metal artifacts. To address that issue, this paper presents a novel reconstruction technique for providing an improvement of the SNR in SEMAC images without sacrificing the correction of metal artifacts. Materials and Methods: Low-rank approximation in each coil image is first performed to suppress the noise in the slice direction, because the signal is highly correlated between SEMAC-encoded slices. Secondly, SEMAC images are reconstructed by the best linear unbiased estimator (BLUE), also known as Gauss-Markov or weighted least squares. Noise levels and correlation in the receiver channels are considered for the sake of SNR optimization. To this end, since distorted excitation profiles are sparse, $l_1$ minimization performs well in recovering the sparse distorted excitation profiles and the sparse modeling of our approach offers excellent correction of metal-induced distortions. Results: Three images reconstructed using SEMAC, SEMAC with the conventional two-step noise reduction, and the proposed image denoising for metal MRI exploiting sparsity and low rank approximation algorithm were compared. The proposed algorithm outperformed two methods and produced 119% SNR better than SEMAC and 89% SNR better than SEMAC with the conventional two-step noise reduction. Conclusion: We successfully demonstrated that the proposed, novel algorithm for SEMAC, if compared with conventional de-noising methods, substantially improves SNR and reduces artifacts.

Similarity analysis of pixelated CdTe semiconductor gamma camera image using a quadrant bar phantom for nuclear medicine: Monte Carlo simulation study

  • Park, Chan Rok;Kang, Seong-Hyeon;Lee, Youngjin
    • Nuclear Engineering and Technology
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    • 제53권6호
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    • pp.1947-1954
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    • 2021
  • In the nuclear medicine imaging, quality control (QC) process using quadrant bar phantom is fundamental aspect of evaluating the spatial resolution. In addition, QC process of gamma camera is performed by daily or weekly. Recently, Monte Carlo simulation using the Geant4 application for tomographic emission (GATE) is widely applied in the pre-clinical nuclear medicine field for modeling gamma cameras with pixelated cadmium telluride (CdTe) semiconductor detector. In this study, we modeled a pixelated CdTe semiconductor detector and quadrant bar phantom (0.5, 1.0, 1.5, and 2.0 mm bar thicknesses) using the GATE tool. Similarity analysis based on correlation coefficients and peak signal-to-noise ratios was performed to compare image qualities for various source to collimator distances (0, 2, 4, 6, and 8 cm) and collimator lengths (0.2, 0.4, 0.6, 0.8, and 1.0 cm). To this end, we selected reference images based on collimator length and source to collimator distance settings. The results demonstrate that as the collimator length increases and the source to collimator distance decreases, the similarity to reference images improves. Therefore, our simulation results represent valuable information for the modeling of CdTe-based semiconductor gamma imaging systems and QC phantoms in the field of nuclear medicine.

합산 차등 상관 방식을 활용하는 초기 동기 획득 시의 오율 성능 분석 (Error Probability Analysis for the Initial Acquisition Using Sum Differential Correlation Methods)

  • 김상태;김재원;장대익;김판수;성원진
    • 한국통신학회논문지
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    • 제33권12C호
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    • pp.983-990
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    • 2008
  • 통신 시스템에서 초기 동기 획득은 안정적인 송수신 성능을 위해 필수적이며, 특히 신호 대 잡음 비의 변화를 포함하는 다양한 통신 환경에서 동기 획득 성능의 분석은 시스템 설계를 위해 중요한 역할을 한다. 주파수 오차가 존재하는 경우 초기 동기에서 차등 상관 방식의 활용이 바람직하며, 기존 상관 방식의 적절한 변형을 통해 추가적인 성능 향상이 가능하다. 본 논문에서는 차등 상관기 출력 값의 분포를 확률적으로 모델링함으로써 초기 동기 시의 오율을 Marcum Q-function의 형태로 유도하며, 출력 값의 복소 합 또는 크기 합을 이용하는 확장된 차등 상관 방식의 초기 동기 획득 시의 오율 결정으로 일반화한다. 제시된 결과는 DVB-S2 (Digital Video Broadcasting - via Satellite, Second Generation) 표준을 포함하는 다양한 통신 시스템의 동기 성능 검증을 위해 활용될 수 있다.

유발이음향 방사현상을 이용한 와우각 특성 해석 (Analysis of Cochlear Characteristics Using Evoked Otoacoustic Emission)

  • 이남호;최진영;조진호;이건일
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1992년도 춘계학술대회
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    • pp.133-138
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    • 1992
  • Evoked otoacoustic emission (e-OAE) signals are measured from adult and analyzed by computer. Stimulation and detection are repeated and averaged 1000 times for noise cancellation. e-OAE signals are analyzed on frequency domain and time domain. The frequency domain analysis reveals that frequency of stimulus and emission has lineal relationship in 50 dB input sound amplitude. This result altos the cross correlation method to be applied for latency calculation. As the stimulus frequency grows higher, the latency tine is shorter and the gain or emission signal becomes greater. We introduced two mathmatical functions to identify these latecy and gain. These results can be utilized for cochlear modeling.

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발성 평가를 위한 영어 음성인식기의 개발 (Development of English Speech Recognizer for Pronunciation Evaluation)

  • 박전규;이준조;김영창;허용수;이석재;이종현
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2003년도 10월 학술대회지
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    • pp.37-40
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    • 2003
  • This paper presents the preliminary result of the automatic pronunciation scoring for non-native English speakers, and shows the developmental process for an English speech recognizer for the educational and evaluational purposes. The proposed speech recognizer, featuring two refined acoustic model sets, implements the noise-robust data compensation, phonetic alignment, highly reliable rejection, key-word and phrase detection, easy-to-use language modeling toolkit, etc., The developed speech recognizer achieves 0.725 as the average correlation between the human raters and the machine scores, based on the speech database YOUTH for training and K-SEC for test.

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LAP 구조물 결합부의 설계치 확보를 위한 동역학적 해석 (Dynamic Analysis of Design Data for Structural Lap Joint)

  • 윤성호
    • 소음진동
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    • 제8권1호
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    • pp.57-74
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    • 1998
  • 구조체의 연결부위에서 미지의 결합강성으로 인하여, 실험과 유한 요소법으로 구한 모달 매개변수들은 종종 일치하지 않는다. 본 논문은 실험으로 추출된 동특성 데이타에 근거하여, 해석적인 방법을 통해 새로운 모델링 방법을 제시하고 있다. 대표적인 연결방법으로 리벳을 이용한 Lap이음보에서 동강성을 측정하기 위한 비선형 진동실험이 제안 되었으며, 이를 Lap 이음판에 적용하기 위하여 동강성에 해당하는 설계변수로서 빔요소를 도입하였다. 이 유한요소 모델링은 범용 패키지인 PATRAN과 ABAQUS를 사용하였으며, 빔요소의 직경을 실험치의 고유진동수와 일치하도록 조절함으로써 직경의 최적치 경향을 관찰하였다. 제시된 모델링 기법과 기존의 모델링 기법으로 얻은 결과치들을 실험치와 비교하였다.

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유연한 기구의 틈새관절 모델링 및 해석방법에 관한 연구 (Dynamic Modeling and Analysis of Flexible Mechanism With Joint Clearance)

  • 홍지수;김호룡
    • 대한기계학회논문집
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    • 제18권12호
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    • pp.3109-3117
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    • 1994
  • To operate a flexible mechanism in high speed its weight must be reduced as far as the structural strength does not decrease too much, but a light-weighted mechanism causes undesirable elastodynamic responses deteriorating the system performance. Besides, clearance within the connections of mechanisms causes rapid wear, increased noise and vibration. Even if the problems described above must be considered in the initial design stage, there has been no effective design process which takes account of the correlation between dynamic characteristics of flexible mechanism and the clearance effect at the joint. In this study, the generalized elastodynamic governing equations which include dynamic characteristics and boundary conditions of flexible mechanism are derived by variational calculus and solved by using FFM theory. To take the clearance effect at joint into account a new dynamic model is presented and also the method of modified stiffness/damping matrix is proposed to activate the dynamic clearance model, which cooperates with the developed governing equation very easily. As the results of this study, the proposed method(modified stiffness/damping matrix) to calculate clearance effect was proved to be superior to the existing one(force reaction method) in solution convergency and calculation performance. Besides this method can be easily adopted to the complex shape joint without calculation of reaction force direction.

Investigations on the Optimal Support Vector Machine Classifiers for Predicting Design Feasibility in Analog Circuit Optimization

  • Lee, Jiho;Kim, Jaeha
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제15권5호
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    • pp.437-444
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    • 2015
  • In simulation-based circuit optimization, many simulation runs may be wasted while evaluating infeasible designs, i.e. the designs that do not meet the constraints. To avoid such a waste, this paper investigates the use of support vector machine (SVM) classifiers in predicting the design's feasibility prior to simulation and the optimal selection of the SVM parameters, namely, the Gaussian kernel shape parameter ${\gamma}$ and the misclassification penalty parameter C. These parameters affect the complexity as well as the accuracy of the model that SVM represents. For instance, the higher ${\gamma}$ is good for detailed modeling and the higher C is good for rejecting noise in the training set. However, our empirical study shows that a low ${\gamma}$ value is preferable due to the high spatial correlation among the circuit design candidates while C has negligible impacts due to the smooth and clean constraint boundaries of most circuit designs. The experimental results with an LC-tank oscillator example show that an optimal selection of these parameters can improve the prediction accuracy from 80 to 98% and model complexity by $10{\times}$.

잠재디리클레할당을 이용한 한국학술지인용색인의 풍력에너지 문헌검토 (Review of Wind Energy Publications in Korea Citation Index using Latent Dirichlet Allocation)

  • 김현구;이제현;오명찬
    • 신재생에너지
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    • 제16권4호
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    • pp.33-40
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    • 2020
  • The research topics of more than 1,900 wind energy papers registered in the Korean Journal Citation Index (KCI) were modeled into 25 topics using latent directory allocation (LDA), and their consistency was cross-validated through principal component analysis (PCA) of the document word matrix. Key research topics in the wind energy field were identified as "offshore, wind farm," "blade, design," "generator, voltage, control," 'dynamic, load, noise," and "performance test." As a new method to determine the similarity between research topics in journals, a systematic evaluation method was proposed to analyze the correlation between topics by constructing a journal-topic matrix (JTM) and clustering them based on topic similarity between journals. By evaluating 24 journals that published more than 20 wind energy papers, it was confirmed that they were classified into meaningful clusters of mechanical engineering, electrical engineering, marine engineering, and renewable energy. It is expected that the proposed systematic method can be applied to the evaluation of the specificity of subsequent journals.