• Title/Summary/Keyword: 퓨리에변환

Search Result 161, Processing Time 0.024 seconds

Analusis of Strain Rate Distribution using Fourier Transform Grid Method (퓨리에 변환 격자법을 이용한 스트레인 속도분포의 해석)

  • 양인홍
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.10 no.4
    • /
    • pp.135-141
    • /
    • 1993
  • 고속으로 변형을 받는 재료의 변형 강도는 정적인 부하를 받는 경우와는 다르며 이 고속 현상을 해석하기 위해서는 시간적, 공간적 변화를 조사할 필요가 있다. 일반적으로 스트레인 속도를 구하는 데는 스트레인 게이지를 이용하고 있지만, 고무와 같은 대변형을 하는 물체에서는 정확한 데이터를 얻기가 곤란 하므로 스플라인 함수를 이용해서 보간 작업을 해야 한다. 그래서, 최근에는 스트레인 속도를 구하는 방법 으로 격자법, 모아레법, 광탄성법 등이 이용되고 있다. 재료의 변위 분포를 구하는 데는 격자법이 잘 이용 되어지고 있지만 스트레인 속도 분포의 해석의 정도에 문제가 되고 있다. 이러한 문제를 해결하기 위하여 본 논문에서는, 고속으로 변형하는 물체의 형상을 역학적으로 해석하기 위해 고속도 카메라로 촬영을 하고 그 때 얻어진 격자 화상을 퓨리에 변환 격자법을 이용해서 위상을 구하고 스트레인 속도 분포를 해석했다.

  • PDF

Classification of Fingerprints using Fast Fourier Transform (고속 퓨리에 변환을 이용한 지문의 분류)

  • Lee, Jung-Moon;Park, Sin-Jae;Kwon, Yong-Ho
    • Journal of Industrial Technology
    • /
    • v.18
    • /
    • pp.295-302
    • /
    • 1998
  • Classification of fingerprints is one of the major subjects on which many researchers have been studying for efficient identification. But fingerprints should be preprocessed in various ways prior to being classified. Factors such as the accuracy and the processing time should be considered in classification of fingerprints. In this paper, we propose a method for classifying fingerprints into several frequent patterns. This method consists of two stages. A fingerprint image is first converted to a skeleton form to find out the center. Then it is identified as a member of one of preclassified pattern by the frequency domain feature. Experiments show that the proposed method is quite useful in classifying fingerprints into typical patterns.

  • PDF

Use of a grating and a plane parallel glass plate for determinimg the refractive index of a lens (회절격자와 층밀리기 간섭기술을 이용한 렌즈 굴절률 측정)

  • 이윤우;조현모;이인원
    • Korean Journal of Optics and Photonics
    • /
    • v.3 no.1
    • /
    • pp.16-19
    • /
    • 1992
  • The Fourier transform spectra of a grating have been employed to determine the refractive index of a simple lens. The shearing interferometric technique is used for collimation testing of the expanded laser beam and for determining the exact focal plane. The slit attached to micro X-Y translator has been used to measure the distance between two sucessive diffraction orders in the back focal plane of the test lens. The experimental equipment is described and results are presented.

  • PDF

Range estimation of underwater acoustic moving source using Doppler frequency map (도플러 주파수 맵을 이용한 수중 이동 음원의 거리 추정)

  • Park, Woong-Jin;Kim, Ki-Man;Han, Min su;Choi, Jae-Yong
    • The Journal of the Acoustical Society of Korea
    • /
    • v.36 no.6
    • /
    • pp.413-418
    • /
    • 2017
  • When measuring the radiated noise of an underwater vehicle, range information between acoustic source and receiver is an important evaluating factor, but it cannot use GPS. There is a method of using the cross correlation for finding the range of the acoustic source instead of the GPS. However, this method has heavy computational loads. This paper proposes a fast Fourier transform based method with a relatively small amount of computation to estimate the range of a source. The proposed method estimates Doppler frequencies of CW signals received at multiple receivers by fast Fourier transform and estimates the source range by comparing theoretical Doppler frequencies map previously calculated by a receiver position and source depth information. Simulation and lake trial were performed to verify the performance.

Effect of Window Function for Measurement of Ultrasonic Nonlinear Parameter Using Fast Fourier Transform of Tone-Burst Signal (톤버스트 신호의 퓨리에 변환을 이용한 초음파 비선형 파라미터 측정에서 창함수가 미치는 영향)

  • Lee, Kyoung-Jun;Kim, Jongbeom;Song, Dong-Gi;Jhang, Kyung-Young
    • Journal of the Korean Society for Nondestructive Testing
    • /
    • v.35 no.4
    • /
    • pp.251-257
    • /
    • 2015
  • In ultrasonic nonlinear parameter measurement using the fast Fourier transform(FFT) of tone-burst signals, the side lobe and leakage on spectrum because of finite time and non-periodicity of signals makes it difficult to measure the harmonic magnitudes accurately. The window function made it possible to resolve this problem. In this study, the effect of the Hanning and Turkey window functions on the experimental measurement of nonlinear parameters was analyzed. In addition, the effect of changes in tone burst signal number with changes in the window function on the experimental measurement was analyzed. The result for both window functions were similar and showed that they enabled reliable nonlinear parameter measurement. However, in order to restore original signal amplitude, the amplitude compensation coefficient should be considered for each window function. On a separate note, the larger number of tone bursts was advantageous for stable nonlinear parameter measurement, but this effect was more advantageous in the case of the Hanning window than the Tukey window.

Analysis of Flow Visualization Results Using Fourier Transform (퓨리에 변환을 활용한 유동 가시화 비교 분석)

  • Koo, Bon-guk;Park, Jun-mo;Kang, Yong-Duck
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.20 no.4
    • /
    • pp.199-204
    • /
    • 2019
  • In the boundary layer, vortical system has been analyzed by the statistical methods to identify the vortex interaction. However, there are the limitations in explaining vortices by the mean velocity or the standard deviation. This paper proposed a method to establish a frequency analysis by Fourier transform in order to simultaneously investigate various scale vortices. For this purpose, the flow visualization conducted to reveal a standing vortex, a hairpin vortex and a wake region around a hemisphere attached on a flat plate in a water channel. In addition, the velocity where the hairpin vortex was being generated in the wake region was measured by a hot-film anemometer. To observe changes in the vortex interaction, suction was applied through a hole in front of the hemisphere. For the evaluation of the proposed frequency analysis, the existing statistical results were compared to the frequency analysis that corresponds to the qualitative results of the flow visualization.

Design of the fast adaptive digital filter for canceling the noise in the frequency domain (주파수 영역에서 잡음 제거를 위한 고속 적응 디지털 필터 설계)

  • 이재경;윤달환
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.41 no.3
    • /
    • pp.231-238
    • /
    • 2004
  • This paper presents the high speed noise reduction processing system using the modified discrete fourier transform(MDFT) on the frequency domain. The proposed filter uses the linear prediction coefficients of the adaptive line enhance(ALE) method based on the Sign algorithm The signals with a random noise tracking performance are examined through computer simulations. It is confirmed that the fast adaptive digital filter is realized by the high speed adaptive noise reduction(HANR) algorithm with rapid convergence on the frequency domain(FD).

Volume holographic correlator for fingerprint recognition (지문 인식을 위한 체적 홀로그래픽 광상관기)

  • 이승현;김은수
    • Korean Journal of Optics and Photonics
    • /
    • v.9 no.6
    • /
    • pp.385-389
    • /
    • 1998
  • In this paper, we propose an optical correlator system using volume holograms for database of matched filters. Optical correlator has high speed and parallel processing characteristics of optics. Matched filters are recorded into a volume hologram that can store data with high density, transfer them with high speed, and select a randomly chosen data element. The multiple reference images of database are prerecorded in a photorefractive crystal in the form of Fourier transform images, simply by passing the image displayed in a spatial light modulator through a Fourier transform lens. The angular multiplexing method for multiple holograms of database can be achieved by rotating the crystal by use of a step motor. Experimental results show that the proposed system can be used for the fingerprint recognition.

  • PDF

Robust Speech Endpoint Detection in Noisy Environments for HRI (Human-Robot Interface) (인간로봇 상호작용을 위한 잡음환경에 강인한 음성 끝점 검출 기법)

  • Park, Jin-Soo;Ko, Han-Seok
    • The Journal of the Acoustical Society of Korea
    • /
    • v.32 no.2
    • /
    • pp.147-156
    • /
    • 2013
  • In this paper, a new speech endpoint detection method in noisy environments for moving robot platforms is proposed. In the conventional method, the endpoint of speech is obtained by applying an edge detection filter that finds abrupt changes in the feature domain. However, since the feature of the frame energy is unstable in such noisy environments, it is difficult to accurately find the endpoint of speech. Therefore, a novel feature extraction method based on the twice-iterated fast fourier transform (TIFFT) and statistical models of speech is proposed. The proposed feature extraction method was applied to an edge detection filter for effective detection of the endpoint of speech. Representative experiments claim that there was a substantial improvement over the conventional method.