• Title/Summary/Keyword: 푸리에 스펙트럼

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Speech and Noise Recognition System by Neural Network (신경회로망에 의한 음성 및 잡음 인식 시스템)

  • Choi, Jae-Sung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.4
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    • pp.357-362
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    • 2010
  • This paper proposes the speech and noise recognition system by using a neural network in order to detect the speech and noise sections at each frame. The proposed neural network consists of a layered neural network training by back-propagation algorithm. First, a power spectrum obtained by fast Fourier transform and linear predictive coefficients are used as the input to the neural network for each frame, then the neural network is trained using these power spectrum and linear predictive coefficients. Therefore, the proposed neural network can train using clean speech and noise. The performance of the proposed recognition system was evaluated based on the recognition rate using various speeches and white, printer, road, and car noises. In this experiment, the recognition rates were 92% or more for such speech and noise when training data and evaluation data were the different.

Development of Ultrasound Sector B-Scanner(III)-Pulsed Ultrasonic Doppler System- (초음파 섹터 B-스캐너의 개발(III)-초음파 펄스 도플러 장치-)

  • 백광렬;안영복
    • Journal of Biomedical Engineering Research
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    • v.7 no.2
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    • pp.139-146
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    • 1986
  • Pulsed ultrasonic Doppler system is a useful diagnostic instrument to measure blood-flow-velocity, velocity profile, and volume-blood-flow. This system is more powerful compare with 2-dimensional B-scan tissue image. A system has been deve- loped and ii being evaluated using TMS 32010 DSP. We use this DSP for the purpose of real-time spectrum analyzer to obtain spectrogram in singlegate pulsed Doppler system and for the serial comb filter to cancel clutter and zero crossing counter to estimate Doppler mean frequency in multigate pulsed Doppler system. The Doppler shift of the backscattered signals is sensed in a phase detector. This Doppler signal corresponds to the mean velocity over a some region in space defined by the ultrasonic beam dimensions, transmitted pulse duration, and transducer ban(iwidth. Multi- gate pulsed Doppler system enable the transcutaneous and simultaneous assessment of the velocities in a number of adjacent sample volumes as a continuous function of time. A multigate pulsed Doppler system processing the information originating from presented.

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On the Perceptually Important Phase Information in Acoustic Signal (인지에 중요한 음향신호의 위상에 대해)

    • The Journal of the Acoustical Society of Korea
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    • v.19 no.7
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    • pp.28-33
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    • 2000
  • For efficient quantization of speech representation, it is common to incorporate Perceptual characteristics of human hearing. However, the focus has been confined only to the magnitude information of speech, and little attention has been paid to phase information. This paper presents a novel approach, termed perceptually irrelevant phase elimination (PIPE), to find out irrelevant phase information of acoustic signals in terms of perception. The proposed method, which is based on the observation that the relative phase relationship within a critical band is perceptually important, is derived not only for stationary Fourier signal but also for harmonic signal. The proposed method is incorporated into the analysis/synthesis system based on harmonic representation of speech, and subjective test results demonstrate the effectiveness of proposed method.

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$CO_5C_{95}$ 나노미립상 합금의 구조와 자기적 성질

  • Bingzhi Jiang;Yang, Dong-Seok;Yu, Seong-Cho
    • Proceedings of the Korea Crystallographic Association Conference
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    • 2003.05a
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    • pp.9-9
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    • 2003
  • 최근에 Fe-CU, Fe-Si 등과 같이 자성금속과 비자성금속화합물에 대한 연구가 활발히 진행되고 있다. 본 연구에서는 기계적 합금법으로 제작한 Co/sub 5/C/sub 95/ 나노미립상 합금의 구조와 자기적 성질을 조사하였다. 그림(1)은 EXAFS 스펙트럼의 푸리에변환이다. 이로부터 합금화시간에 따라 Co-Co 결합은 점차적으로 작아지며 Co-C 결합이 진행됨에 알수 있다. 그림(2)은 합금화시간에 따른 포화자화값과 보자력의 크기이다. 포화자화는 합금화 시간에 따라 연속적으로 작아졌으며 보자력은 커지다가 작아지는 경향을 보였다. 포화자화가 작아지는 것은 Co-C 결합이 생기면서 Co의 쌍을 이루지 않은 전자가 C의 전자와 쌍을 이루면서 상쇄되기 때문인 것으로 보인다. 보자력의 거동은 Co 미립자가 다자구영역으로부터 단자구영역으로 전환되기 때문인 것으로 해석될수 있다. Co 미립자는 C의 캡슐형에 싸여있으며 60시간과 100시간에서 Co 미립자의 크기는 X-ray 회절선의 넓어짐으로부터 Scherrerr 공식을 이용하여 계산한 결과 18nm 와 15nm 정도가 됨을 알 수 있었다. 연구를 통하여 Co/sub 5/C/sub 95/ 나노미립상합금을 기계적합금법으로 만들 수 있음을 알 수 있었다. 이론적인 계산에 의하면 초상자성 Co 입자의 크기는 8.2nm 정도가 되었으며 본 실험에서 최종 입자의 크기는 15nm까지 작아졌다.

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Intrusion Sensor Using Fiber-Optic Mach-Zehnder Interferometer (광섬유 마하젠더 간섭계를 이용한 침입자 감지 센서)

  • Park, Hyoung-Jun;Song, Min-Ho
    • Journal of the Korean Society for Nondestructive Testing
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    • v.26 no.4
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    • pp.255-259
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    • 2006
  • For the intruder detection, a buried fiber-optic sensor based on fiber-optic Mach-Zehnder interferometer is demonstrated. We buried the sensor arm in a styrene board and exerted pressure on it. The pressure-induced deformation speed has almost linear relationship with the output frequencies of the interference signals, and about 4.25 Hz frequency change per 0.01m/s was obtained. Also it has been shown that the amplitude of frequency component increases according to the weight of mass.

An Investigation of Acoustic Signal Characteristics in Turning of Aluminum (알루미늄 선삭공정에서 발생되는 음향 신호 특성)

  • Kim, Yong-Yun;Lee, Chang-Hee
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.17 no.6 s.123
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    • pp.507-514
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    • 2007
  • This paper reports on the research which investigates acoustic signals acquired in turning with rough and finish simultaneously. The material is aluminum thin pipe. Two acousto-ultrasonic sensors were set on the finish and the rough bite of the CNC machine. It was first evaluated that one source was affected by the other. It was found that two signals were little affected each other, and that the acoustic signal from the finish bite was more related to the surface defects. Signals from the finish bite only were then analyzed in order to observe several types of surface defects. Second the fundamental experiments were accomplished to study the effects of machine vibration and material state. The signal characteristics due to surface defects were studied from the collected acoustic signals. The analysis was based on real time data, root mean squared average and frequency spectrum by fast fourier transform. As a result, the acoustic signals were made effects by machine condition, material structure. The acoustic signal from the finish bite was closely correlated with surface quality. Two types surface micro defects were then evaluated by the signal characteristics.

Aerodynamic Noise Characteristics of High-speed Trains by the Beamforming Method (빔형성 기법을 이용한 고속철도차량의 공력소음특성 도출 연구)

  • Noh, Hee-Min;Choi, Sung-Hoon;Koh, Hyo-In;Hong, Suk-Yoon
    • Journal of the Korean Society for Railway
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    • v.15 no.3
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    • pp.231-236
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    • 2012
  • In this paper, aerodynamic noise characteristics of high-speed trains were deduced from the beamforming method. First, pass-by noise of high-speed trains was measured by a microphone array system. This measurement suggested that the majority of the aerodynamic noise produced came from the bogie area, the pantograph and its cover, and inter-coach gaps. Then, beampower outputs of a position in high-speed trains were obtained from the beamforming method. By Fourier transform, sound characteristics of the position in the frequency domain were deduced from the beamforming power spectrum. From this study, aerodynamic noise characteristics from the major sources of high-speed trains were drawn.

Analysis of Low Altitude Wind Profile Data from Wind Lidar for Drone Aviation Safety (드론의 안전 비행을 위한 윈드라이다 저고도 바람 분석 방법 제시)

  • Kim, Je-Won;Ryu, Jung-Hee;Na, Seong-Jun;Seong, Seong-Cheol
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.12
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    • pp.899-907
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    • 2022
  • According to the Unmanned aircraft system Traffic Management (UTM), drones are permitted to fly up to 150m above ground, which is located in the atmospheric boundary layer where there is considerable wind fluctuation due to turbulence. Although it is difficult to predict when turbulence will occur drone aviation safety could be enhanced by having a better understanding of the characteristics of vertical profile of wind in the flight area. We used wind lidar (WIndMast 350M) to observe vertical profiles of wind at the test site for aviation meteorological observation equipment located near Incheon International Airport in July and September, 2022. In this study, we utilized the observed wind profile data to propose a technique for obtaining information that could help improve the drone aviation safety. The Fourier transform analysis is used to evaluate the temporal characteristics of the horizontal wind speed at various vertical levels up to 350m. We also examined the relative contribution of the variance of wind having scales of less than an hour, a crucial scale for drone flight, to the variance of wind having all scales at each vertical altitude for days with and without precipitation.

Development of Parallel Signal Processing Algorithm for FMCW LiDAR based on FPGA (FPGA 고속병렬처리 구조의 FMCW LiDAR 신호처리 알고리즘 개발)

  • Jong-Heon Lee;Ji-Eun Choi;Jong-Pil La
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.2
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    • pp.335-343
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    • 2024
  • Real-time target signal processing techniques for FMCW LiDAR are described in this paper. FMCW LiDAR is gaining attention as the next-generation LiDAR for self-driving cars because of its detection robustness even in adverse environmental conditions such as rain, snow and fog etc. in addition to its long range measurement capability. The hardware architecture which is required for high-speed data acquisition, data transfer, and parallel signal processing for frequency-domain signal processing is described in this article. Fourier transformation of the acquired time-domain signal is implemented on FPGA in real time. The paper also details the C-FAR algorithm for ensuring robust target detection from the transformed target spectrum. This paper elaborates on enhancing frequency measurement resolution from the target spectrum and converting them into range and velocity data. The 3D image was generated and displayed using the 2D scanner position and target distance data. Real-time target signal processing and high-resolution image acquisition capability of FMCW LiDAR by using the proposed parallel signal processing algorithms based on FPGA architecture are verified in this paper.

Study on Applicability of Frequency Domain-Based Fatigue Analysis for Wide Band Gaussian Process I : Rayleigh PDF (광대역 정규 프로세스에 대한 주파수 영역 기반 피로해석법의 적용성에 관한 연구 I : 레일리 PDF)

  • Choung, Joon-Mo;Kim, Kyung-Su;Nam, Ji-Myung;Koo, Jeong-Bon;Kim, Min-Soo;Shim, Yong-Lae;Urm, Hang-Sub
    • Journal of the Society of Naval Architects of Korea
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    • v.49 no.4
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    • pp.350-358
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    • 2012
  • This paper deals with accuracy of accumulated fatigue damage estimation using stochastic fatigue analysis method based on Rayleigh PDF. From full scale measurement data on an 8100TEU container vessel, zero-order spectral moments for wave- and vibration-induced energy spectral densities are determined on the probability level of 99%. 80 simulation cases in total are prepared according to the variation of ratio of zero-order spectral moments and center frequency of vibration ESD. By using inverse Fourier transformation and rainflow cycle counting for the combined ESD of wave and vibration, exact fatigue damages are derived. Fatigue damages in frequency domain based on Rayleigh PDF show large conservativeness compared to exact fatigue damages in times domain. The main cause of the excessive conservativeness is analyzed by two aspects: ratio of zero crossing and peak frequencies and ratio of initial zero order spectral moments and zero order spectral moments from rainflow stress range distributions. Finally, a guideline of applicability of Rayleigh PDF is proposed for wide band processes.