• Title/Summary/Keyword: Lowpass

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Volume Pulse Wave Detection System for Oriental Medicine (한방용 용적맥파 시스템)

  • Kim, H.T.;Han, S.C.;Choi, T.J.;Kim, J.K.;Huh, W.;Park, Y.B.
    • Proceedings of the IEEK Conference
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    • 2001.06e
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    • pp.77-80
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    • 2001
  • In this paper, we devised volume pulse detection system which can quantitatively represent a artery elasticity for oriental clinic. Volume pulse wave detecter system consist of transducer which has IRLED-photodiode detecter, temperature sensor and filter and preprocessing circuits, data conversion and serial communication parts, and computer system. The high-pass filter are detect volume pulse wave and lowpass filter detect tissue thickness. The detected volume pulse wave are normalized by tissue thickness value with a division process. As the result of experiment, we can detect normalized volume pulse wave with effectively.

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Fundamental Frequency Estimation based on Time-Frequency Analysis (시주파수 분석법을 이용한 음성의 기본주파수 검출)

  • Iem Byeong-Gwan
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.1
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    • pp.31-34
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    • 2006
  • A simple robust fundamental frequency estimator on the time-frequency domain is proposed. Combined with the appropriately designed low-pass filter, the instantaneous frequency estimator based on the Teager-Kaiser energy function can detect the fundamental frequency of speech signal. The Teager-Kaiser function can be obtained through real computation and show the change of frequency as time goes. And when a speech block with N samples is processed with a lowpass fille. with length of L, it requires $O(N{\cdot}(L+5))operations,$ compared to $O(N{\cdot}2log_2N+L))operations$ in the recently introduced wavelet and conventional instantaneous frequency method. The computer simulation confirms the usefulness of the proposed fundamental frequency estimation method.

Face Data Clustering Method for Face Recognition Using Self Organizing Feature Map (자기 조직화 지도 모형을 이용한 인종별 얼굴 영상 군집화 기법)

  • 권혜련;고병철;변혜란;이일병
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10b
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    • pp.577-579
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    • 2003
  • 본 논문에서는 생체인식 분야 중 얼굴인식의 검색 정확성 향상 및 검색 시간을 단축하기 위한 단계로 인종별 얼굴영상 데이터베이스에 대한 군집화 기법을 연구하였다. 우선, 일반적으로 얼굴 및 이미지 검색에 사용되는 다양한 특징을 추출하고, 추출한 다차원의 특징 데이터들로부터 다 인종 얼굴 데이터를 유사한 인종별로 정확하게 군집화 하기 위해 최적의 특징벡터를 자동으로 선택 할 수 있는 방법을 제안하였다. 군집결과 분석을 위해 자기 조직화 지도 모형을 이용하였는데, 이는 2차원 분석 및 가시화에 유용하며, 학습 후 코드북벡터를 사용하여 유사한 의미간의 거리부터 검색할 수 있는 특징을 가지고 있다. 특징추출에 관한 실험결과 인종별 구분을 위한 특징벡터로는 웨이블릿 주파수 성분(lowpass 성분)과 CbCr 특징벡터가 인종별 군집화에 가장 유용한 특징으로 선택되었으며. 추출된 특징을 바탕으로 semantic map을 구성하여 제안방법의 효율성을 제시하였다.

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A Personal Identification Algorithm Utilizing Finger Crease Pattern (손가락 마디지문 패턴을 이용한 개인식별 알고리즘)

  • Chang, Seok-Won;Jung, Hee-Cheol;Choi, Hwan-Soo
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.2891-2894
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    • 1999
  • This paper proposes an alternative personal identification algorithm using finger crease pattern which is assumed to overcome the disadvantages of the existing biometrics system. We used a CED camera with LED lighting as the input device. The original images were treated by employing a lowpass and highpass Jilter to get the reinforced finger boundaries and finger crease patterns, thereby threshold is applied. We tracked the boundaries of the finger and extracted the Images of the index, middle, and ring finger, thereafter applied noise reduction operation. In the last step, we performed the verifications of a person by matching one dimensional profiles of finger crease patterns. This algorithm shows the possibility of an alternative biometrics identification system to the current ones. Lastly, the comparative evaluation on our system and the other algorithm is presented.

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The Design of A CMOS Gm-C Lowpass Filter with Variable Cutoff Frequency for Direct Conversion Receiver (직접변환 수신기용 가변 차단주파수특성을 갖는 CMOS Gm-C 저역통과필터 설계)

  • Bang, Jun-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.8
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    • pp.1464-1469
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    • 2008
  • A CMOS Gm-C filter with variable cutoff frequency applicable for using in the direct conversion receiver is designed. The designed filter comprises the CMOS differential transconductors, and the gm of the transconductor is controlled by the bias voltage. This configuration can compensate variant of the cutoff frequency which could be generated by external noises, and also be used in multiband receiver. As a results of HSPICE simulation, the control range of the cutoff frequency is $1.5MHz{\sim}3.5MHz$ and the gain control range is $-2.8dB{\sim}2.6dB$. The layout of the designed 5th-order Elliptic low-pass filter is performed to fabricate a chip using $2.5V-0.25{\mu}m$ CMOS processing parameter.

Design and Construction of a FFT Analyzer Using a Microcomputer (마이크로컴퓨터를 이용한 FFT 분석기의 설계 및 제작)

  • Lee, Hyeun Tae;Kim, Jung Gyu;Lee, Sang Bae
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.6
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    • pp.944-949
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    • 1986
  • By improving the ability of arithmatic processing with an arithmatic processor in a microcomputer and realizing the data input system for real time analysis, an FFT analyzer that is usable within the range of audio frequency is designed and constructed. The input signal passes through a gain programmable pre-amplifier and anti-aliasing lowpass filter into an analogditital converter to be converted into digital form. The converted input data is processed by an Apple II microcomputer. The results of the processing are displayed using a microcomputer display unit and can be copied on a printer or stored in a floppy disk.

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Content Analysis-based Adaptive Filtering in The Compressed Satellite Images (위성영상에서의 적응적 압축잡음 제거 알고리즘)

  • Choi, Tae-Hyeon;Ji, Jeong-Min;Park, Joon-Hoon;Choi, Myung-Jin;Lee, Sang-Keun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.5
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    • pp.84-95
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    • 2011
  • In this paper, we present a deblocking algorithm that removes grid and staircase noises, which are called "blocking artifacts", occurred in the compressed satellite images. Particularly, the given satellite images are compressed with equal quantization coefficients in row according to region complexity, and more complicated regions are compressed more. However, this approach has a problem that relatively less complicated regions within the same row of complicated regions have blocking artifacts. Removing these artifacts with a general deblocking algorithm can blur complex and undesired regions as well. Additionally, the general filter lacks in preserving the curved edges. Therefore, the proposed algorithm presents an adaptive filtering scheme for removing blocking artifacts while preserving the image details including curved edges using the given quantization step size and content analysis. Particularly, WLFPCA (weighted lowpass filter using principle component analysis) is employed to reduce the artifacts around edges. Experimental results showed that the proposed method outperforms SA-DCT in terms of subjective image quality.

Future Projections on the Spatial Distribution of Onset Date and Duration of Natural Seasons Using SRES A1B Data in South Korea (A1B 시나리오 자료를 이용한 우리나라 자연 계절 시작일 및 지속기간의 공간 분포 변화 전망)

  • Kwon, Young-Ah;Kwon, Won-Tae;Boo, Kyung-On
    • Journal of the Korean Geographical Society
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    • v.43 no.1
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    • pp.36-51
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    • 2008
  • As the global warming has influenced on various sectors including agriculture, forestry, fisheries and health, it is essential to project more accurate future climate for an assessment of climate change impact and adaptation strategy. This study examines spatial distribution of onset dates and durations of season decomposed by applying a lowpass filtering using observed 30-year (1971-2000) data and projected 2090s data based on the IPCC SRES A1B emission scenario in South Korea. In general, the distributions of spring and winter onset date are affected by latitudes, topography and proximity to oceans. However, onset dates of summer and autumn are a little affected by proximity to oceans and topography than by latitudes. In the 2090s (2091-2100), the onset dates of spring begin about 40 days earlier and the onset dates of summer begin 25-30 days earlier as compare with present time. On the other hand, the onset dates of winter begin about 50 days later in the southern and eastern coastal area and in the southern inland. The onset dates of autumn begin about 20 days later. In the 2090s, summer duration is longer and winter duration is shorter as compare with present time at southern and eastern coastal area.

Analysis of Endcap Effect for MRI Birdcage RF Coil by FDTD Method (FDTD 방법을 이용한 MRI Birdcage RF Coil의 Endcap 효과 분석)

  • Chung Sung-Taek;Park Bu-Sik;Shin Yoon-Mi;Kwak June-Sik;Cho Jong-Woon;Kim Kyoung-Nam
    • Investigative Magnetic Resonance Imaging
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    • v.7 no.2
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    • pp.137-143
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    • 2003
  • Purpose : B1 field of birdcage RF (radiofrequency) coil that is used most for brain imaging in magnetic resonance imaging (MRI) decreases toward endring from the coil center. We investigated how much RE B1 homogeneity effect the endcap shield brings form the coil center as it towards to endcap region. Materials and Methods : We compared RF B1 field distribution by each finite difference time domain (EDTD) simulations for lowpass, highpass and hybrid birdcage RF coils. We selected the highpass birdcage RF coil that was the highest RF B1 field condition as simulation result, and studied how much RF B1 homogeneity effect was occurred when endcap shield was applied to endring area. Results : B1 field of the highpass birdcage RF coil was higher than other birdcage RF coil types as simulation result. However, the RF B1 homogeneity was lower than other coil types. RE B1 field of highpass birdcage RF coil with endcap shield is similar with RF B1 field of hybrid birdcage RF coil and the overall RE B1 homogeneity in sagittal direction was better. Conclusion In this paper, proposed method can apply improving RF B1 homogeneity of RF coil in clinical examination.

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