• Title/Summary/Keyword: Bandpass sampling

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Study of equivalent circuit modeling for microstrip structure using passive component (수동소자를 이용한 마이크로스트립 구조의 등가회로 모델링에 관한 연구)

  • Paek, Hyun;Kim, Kun-Tae;Kwon, So-Hyun;Kahng, Sung-Tek;Kim, Hyeong-Seok
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1434-1435
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    • 2008
  • In this paper, we propose a method that applies Vector Fitting(VF) and Adaptive Frequency Sampling(ASF) technique to the equivalent circuit model for RF passive components. VF and ASF schemes are implemented to obtain the rational functions. S parameters of the equivalent circuit model is compared to those of EM simulation in case of the microstrip structure with coupled bandpass filter.

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Measurement of Optical Wavelength Using a $LiNbO_3$ Mach-Zehnder Modulator ($LiNbO_3$ 마하젠더 광변조기를 이용한 광파장 측정)

  • 정형기;오현호;정윤철;신상영
    • Proceedings of the Optical Society of Korea Conference
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    • 2000.08a
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    • pp.148-149
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    • 2000
  • 파장분할다중(WDM) 광통신시스템에서 광원의 파장을 정확하게 측정하는 것은 매우 중요하다. 지금까지 광파장측정기는 격자나 Fabry-Perot 에탈론을 사용한 광대역 필터(optical bandpass filter) 및 파장에 따라 삽입손실이 다른 파장판별기(wavelength discriminator)등으로 구현되었지만 빛의 간섭 현상을 이용한 마이켈슨 간섭계가 가장 많이 사용되었다. 특히 푸리에 변환 마이켈슨 간섭계 파장측정기$^{(1)}$ 는 동시에 각각 다른 파장의 광원들이 입사되더라도 각각의 파장을 측정할 수 있는 장점이 있다. 즉 마이켈슨 간섭계에서 주기적인 간섭무늬에 의한 광검출기의 출력은 입력된 광파장에 따라 다른 주기를 가진다. 따라서 서로 다른 파장을 가진 빛이 입사했을 때 검출되는 각각의 광전력의 합을 표본화(sampling)한 뒤 FFT를 거치면 광파장과 광검출기로 수신한 신호의 중심 주파수의 관계를 알 수 있으므로, 서로 다른 파장을 가진 빛이 입사하더라도 각각의 파장을 측정할 수 있는 것이다. 본 논문에서는 푸리에 변환을 이용하되 마이켈슨 간섭계 대신 마하젠더 간섭계형 광변조기를 이용하여 광파장을 측정에 관한 실험적 구현과 개선 방안에 대해 제시한다. (중략)

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Shear-wave elasticity imaging with axial sub-Nyquist sampling (축방향 서브 나이퀴스트 샘플링 기반의 횡탄성 영상 기법)

  • Woojin Oh;Heechul Yoon
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.5
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    • pp.403-411
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    • 2023
  • Functional ultrasound imaging, such as elasticity imaging and micro-blood flow Doppler imaging, enhances diagnostic capability by providing useful mechanical and functional information about tissues. However, the implementation of functional ultrasound imaging poses limitations such as the storage of vast amounts of data in Radio Frequency (RF) data acquisition and processing. In this paper, we propose a sub-Nyquist approach that reduces the amount of acquired axial samples for efficient shear-wave elasticity imaging. The proposed method acquires data at a sampling rate one-third lower than the conventional Nyquist sampling rate and tracks shear-wave signals through RF signals reconstructed using band-pass filtering-based interpolation. In this approach, the RF signal is assumed to have a fractional bandwidth of 67 %. To validate the approach, we reconstruct the shear-wave velocity images using shear-wave tracking data obtained by conventional and proposed approaches, and compare the group velocity, contrast-to-noise ratio, and structural similarity index measurement. We qualitatively and quantitatively demonstrate the potential of sub-Nyquist sampling-based shear-wave elasticity imaging, indicating that our approach could be practically useful in three-dimensional shear-wave elasticity imaging, where a massive amount of ultrasound data is required.

EXTRACTION OF INTERPRETIVE WAVELETS BY MODIFIED WIENER FILTER METHOD - TEST AND EVALUATION WITH MARINE SESMIIC DATA- (修正 위너필터 方法에 依한 解釋波의 抽出 -海洋彈性波 探査資料에 依한 實驗 및 評價)

  • Youn, Oong Koo;Han, Sang-Joon;Park, Byung Kwon
    • 한국해양학회지
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    • v.18 no.2
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    • pp.117-124
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    • 1983
  • Pizza's synthetic model, a modified Wiener filter method, was tested to establish the procedure of desirable interpretive wavelet extraction and its application to the marine seismic exploration using several approaches with a real offshore seismic data of the southeast Asia. Noise spectrum acquisition is difficult and any assumptions for it do not produce interpretive wavelets as good as synthetic model result by Piazza (1979). however the resolution could be improved with spiking deconvoultion and following zero phase bandpass filter, and the testing procedure and evaluatttion of results can hopefully contribute in future study and practical evaluation of Piazza's method.

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A Study on the Detection of Small Cavity Located in the Hard Rock by Crosswell Seismic Survey (경암 내 소규모 공동 탐지를 위한 시추공간 탄성파탐사 기법의 적용성 연구)

  • Ko, Kwang-Beom;Lee, Doo-Sung
    • Geophysics and Geophysical Exploration
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    • v.6 no.2
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    • pp.57-63
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    • 2003
  • For the dectection of small cavity in the hard rock, we investigated the feasibility of crosswell travel-time tomography and Kirchhoff migration technique. In travel-time tomography, first arrival anomaly caused by small cavity was investigated by numerical modeling based on the knowledge of actual field information. First arrival delay was very small (<0.125 msec) and detectable receiver offset range was limited to 4m with respect to $1\%$ normalized first arrival anomaly. As a consequence, it was turned out that carefully designed survey array with both sufficient narrow spatial spacing and temporal (<0.03125 msec) sampling were required for small cavity detection. Also, crosswell Kirchhoff migration technique was investigated with both numerical and real data. Stack section obtained by numerical data shows the good cavity image. In crosswell seismic data, various unwanted seismic events such as direct wave and various mode converted waves were alto recorded. To remove these noises und to enhance the diffraction signal, combination of median and bandpass filtering was applied and prestack and stacked migration images were created. From this, we viewed the crosswell migration technique as one of the adoptable method for small cavity detection.

Low-cost Prosthetic Hand Model using Machine Learning and 3D Printing (머신러닝과 3D 프린팅을 이용한 저비용 인공의수 모형)

  • Donguk Shin;Hojun Yeom;Sangsoo Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.19-23
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    • 2024
  • Patients with amputations of both hands need prosthetic hands that serve both cosmetic and functional purposes, and research on prosthetic hands using electromyography of remaining muscles is active, but there is still the problem of high cost. In this study, an artificial prosthetic hand was manufactured and its performance was evaluated using low-cost parts and software such as a surface electromyography sensor, machine learning software Edge Impulse, Arduino Nano 33 BLE, and 3D printing. Using signals acquired with surface electromyography sensors and subjected to digital signal processing through Edge Impulse, the flexing movement signals of each finger were transmitted to the fingers of the prosthetic hand model through training to determine the type of finger movement using machine learning. When the digital signal processing conditions were set to a notch filter of 60 Hz, a bandpass filter of 10-300 Hz, and a sampling frequency of 1,000 Hz, the accuracy of machine learning was the highest at 82.1%. The possibility of being confused between each finger flexion movement was highest for the ring finger, with a 44.7% chance of being confused with the movement of the index finger. More research is needed to successfully develop a low-cost prosthetic hand.