• Title/Summary/Keyword: 짧은 시간 푸리에 변환

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Fractional Fourier Domains and the Shift-Invariance Characteristics of Linear Time-Frequency Distributions (부분 푸리에 영역과 선형 시간-주파수 분포의 옮김 불변 특성)

  • Durak Lutfiye;Kang Hyun Gu;Yoon Seokho;Lee Jumi;Kwon Hyoungmoon;Choi Sang Won;Song Iickho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.11C
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    • pp.1060-1067
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    • 2005
  • In this paper, we generalize the shift-invariance properties of linear time-frequency distributions to the fractional Fourier domains that interpolate between the time and frequency domains. Magnitude-wise shift invariance in arbitrary fractional Fourier domains distinguishes the short-time Fourier transform (STFT) among all linear time-frequency distributions and simplifies the interpretation of the resultant distribution. We prove that the STFT is the only linear distribution that satisfies the magnitude-wise shift-invariance property in the fractional Fourier domains.

Speech Feature Extraction based on Spikegram for Phoneme Recognition (음소 인식을 위한 스파이크그램 기반의 음성 특성 추출 기술)

  • Han, Seokhyeon;Kim, Jaewon;An, Soonho;Shin, Seonghyeon;Park, Hochong
    • Journal of Broadcast Engineering
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    • v.24 no.5
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    • pp.735-742
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    • 2019
  • In this paper, we propose a method of extracting speech features for phoneme recognition based on spikegram. The Fourier-transform-based features are widely used in phoneme recognition, but they are not extracted in a biologically plausible way and cannot have high temporal resolution due to the frame-based operation. For better phoneme recognition, therefore, it is desirable to have a new method of extracting speech features, which analyzes speech signal in high temporal resolution following the model of human auditory system. In this paper, we analyze speech signal based on a spikegram that models feature extraction and transmission in auditory system, and then propose a method of feature extraction from the spikegram for phoneme recognition. We evaluate the performance of proposed features by using a DNN-based phoneme recognizer and confirm that the proposed features provide better performance than the Fourier-transform-based features for short-length phonemes. From this result, we can verify the feasibility of new speech features extracted based on auditory model for phoneme recognition.

Selective Extraction of a Single Optical Frequency Component from an Optical Frequency Comb (광 주파수 빗으로부터 단일 광 주파수 성분의 선택적 추출)

  • Han Seb Moon
    • Korean Journal of Optics and Photonics
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    • v.34 no.6
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    • pp.225-234
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    • 2023
  • Mode-locked pulse lasers have a temporal periodicity up over a short period of time. However, in the time-frequency domain, a pulsed laser with temporal periodicity is described as an optical frequency comb with constant frequency spacing. Each frequency component of the optical frequency comb in the frequency domain is then a continuous-wave (CW) laser with hundreds of thousands of single-frequency-component CW lasers in the time domain. This optical frequency comb was developed approximately 20 years ago, enabling the development of the world's most precise atomic clocks and precise transmission of highly stable optical frequency references. In this review, research on the selective extraction of the single-frequency components of optical frequency combs and the control of the frequency components of optical combs is introduced. By presenting the concepts and principles of these optical frequency combs in a tutorial format, we hope to help readers understand the properties of light in the time-frequency domain and develop various applications using optical frequency combs.

A Study on the Improvement of Fault Detection Capability for Fault Indicator using Fuzzy Clustering and Neural Network (퍼지클러스터링 기법과 신경회로망을 이용한 고장표시기의 고장검출 능력 개선에 관한 연구)

  • Hong, Dae-Seung;Yim, Hwa-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.3
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    • pp.374-379
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    • 2007
  • This paper focuses on the improvement of fault detection algorithm in FRTU(feeder remote terminal unit) on the feeder of distribution power system. FRTU is applied to fault detection schemes for phase fault and ground fault. Especially, cold load pickup and inrush restraint functions distinguish the fault current from the normal load current. FRTU shows FI(Fault Indicator) when the fault current is over pickup value or inrush current. STFT(Short Time Fourier Transform) analysis provides the frequency and time Information. FCM(Fuzzy C-Mean clustering) algorithm extracts characteristics of harmonics. The neural network system as a fault detector was trained to distinguish the inruih current from the fault status by a gradient descent method. In this paper, fault detection is improved by using FCM and neural network. The result data were measured in actual 22.9kV distribution power system.

Baleen Whale Sound Synthesis using a Modified Spectral Modeling (수정된 스펙트럴 모델링을 이용한 수염고래 소리 합성)

  • Jun, Hee-Sung;Dhar, Pranab K.;Kim, Cheol-Hong;Kim, Jong-Myon
    • The KIPS Transactions:PartB
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    • v.17B no.1
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    • pp.69-78
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    • 2010
  • Spectral modeling synthesis (SMS) has been used as a powerful tool for musical sound modeling. This technique considers a sound as a combination of a deterministic plus a stochastic component. The deterministic component is represented by the series of sinusoids that are described by amplitude, frequency, and phase functions and the stochastic component is represented by a series of magnitude spectrum envelopes that functions as a time varying filter excited by white noise. These representations make it possible for a synthesized sound to attain all the perceptual characteristics of the original sound. However, sometimes considerable phase variations occur in the deterministic component by using the conventional SMS for the complex sound such as whale sounds when the partial frequencies in successive frames differ. This is because it utilizes the calculated phase to synthesize deterministic component of the sound. As a result, it does not provide a good spectrum matching between original and synthesized spectrum in higher frequency region. To overcome this problem, we propose a modified SMS that provides good spectrum matching of original and synthesized sound by calculating complex residual spectrum in frequency domain and utilizing original phase information to synthesize the deterministic component of the sound. Analysis and simulation results for synthesizing whale sounds suggest that the proposed method is comparable to the conventional SMS in both time and frequency domain. However, the proposed method outperforms the SMS in better spectrum matching.

Impact of Group Delay in RF BPF on Impulse Radio Systems (임펄스 라디오 시스템에서 RF 대역 통과 필터의 군지연 영향 분석)

  • Myoung Seong-Sik;Kwon Bong-Su;Kim Young-Hwan;Yook Jong-Gwan
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.16 no.4 s.95
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    • pp.380-388
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    • 2005
  • This paper presents analysis results of the effects of RF filter characteristics on the system performance of impulse radio. The impulse radio system transmits modulated pulses having very short time duration and information can be extracted in receiver side based on cross-correlation between received and transmitted pulses. Accordingly, the pulse distortion due to in-band group delay variation can cause serious system performance degradation. In general, RF bandpass filters inevitably cause group delay difference to the signal passing through the filter which is proportional to its skirt characteristic due to its resonance phenomenon. For time as well as frequency domain analysis, small signal scattering parameter $S_{21}$ and its Fourier transform are used to characterize output pulse waveform under the condition that the input and output ports are matched. The output pulse waveform of the filter is predicted based on convolution integral between input pulse and filter transfer function, and resulting BER performances in the BPM and PPM based impulse radio system are calculated.

중력이상을 이용한 한반도 모호면 추출에 관한 연구

  • 김정우;조진동;김원균;민경덕;황재하;이윤수;박찬홍;황종선
    • Proceedings of the KSEEG Conference
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    • 2003.04a
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    • pp.258-264
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    • 2003
  • 중력이상 및 수치고도모델을 이용하여 한반도 모호면 심도를 추출하였다 중력이상값은 인공위성고도레이더 관폭값을 주로 이용한 전지구 모델을 이용하여 데이터영역 뿐 만 아니라 주파수영역에서도 자료의 균질성을 확보하였다. 모호면 추출은 Kim et al. [2000a]에 의해 제안된 스펙트럼 대비법 및 후리에급수를 이용한 파워스펙트럼분석법을 이용하였다. 전자는 지각근형을 전제로, 지형에 의한 중력효과와 후리에어 중력이상을 파동수영역에서 대비하여 모호면의 심도를 계산하는 방법이고, 후자는 완전부우게 중력이상으로부터 푸리에변환을 이용하여 지하 밀도 변화층의 심도를 계산하는 방법이다. 이 두 모호면은 서로 0.53의 상관관계를 갖고 있으며, 이는 모호면 산출의 방법론적인 차이 및 계산상의 오차인 것으로 사료된다. 이렇게 두 가지 독립적인 방법으로 추출된 모호면을 하나로 통합하기 위한 한 방법으로, 두 모호면의 차이를 계산한 후, 이를 최소자승법을 이용, 두 모호면을 보정하였다. 결과적으로 한반도의 최종 모호면의 평균심도는 32.0km, 표준편차는 2.5km 이며, 최소, 최대 심도는 20.3, 36.6km으로 나타났다. 이 경우 지형에 의한 중력효과는 스펙트럼대비법에 의해 제거된 결과이나, 한반도의 지각이 완전한 지각판 내에 놓여 있어서 Airy-Heiskanin 지각균형설의 가정이 타당성이 있는가, 혹은 국부적인 응력장에 의해 한반도의 지각이 과연 얼마나 지지되고 있는가 하는 것에 대한 추가적인 연구가 필요하며, 이에 앞서, 일정한 밀도차를 갖는 연속적인 밀도변화층이 존재한다는 가정이 반드시 필요하다.에는 관련성을 갖고 있으며, 이는 유류 분해정도를 파악하는 지시자로써 특정 무기 오염물질을 이용할 수 있을 가능성이 있으므로 좀더 이들 관계성에 대한 연구가 진행될 필요성이 있다고 판단된다.고 과학적으로 분석할 수 있는 방법이 될 수 있을 것으로 기대된다. 의미를 되새기는 것으로 짧은 연구를 시작하겠다. 등은 활성 값이 70% 이상으로 퇴적물 독성이 상대적으로 낮았다. 이중나선 DNA 함량은 28.4 % - 49%로 대조군에 비해서 감소가 크다. 대부분의 정점이 대조군의 30% 내외로 정점 간의 차이는 크지는 않다. 그러나 다른 측정자료와 같이 정점 22에서 18%로 최소치를 나타내고, 정점 2, 12에서 20% 내외의 값을 보인다. 종합적으로 볼 때 오염물질의 유입이 크고, 광양제철 인근 정점 들이 모두 다른 정점에 비해서 낮아서, 퇴적물 독성이 높은 정점으로 조사되었다.hiwo의 광합성 능력은 낮은 농도들에서는 대조구와 유사하였으나, 5 $\mu\textrm{g}$/l의 높은 농도에서는 초기에 매우 낮은 광합성 능력을 보이다가 시간이 경과하면서 대조군보다 더 높은 경향을 나타냈다. 이러한 결과는 식물플랑크톤이 benso[a]pyrene의 낮은 농도에서 노출될 때는 이 물질을 탄소원으로 사용할 가능성이 있음을 시사한다. 본 연구의 결과들은 연안해역에 benso[a]pyrene과 같은 지속성 유기오염물질이 유입되었을 때 내정여부에 따라 식물플랑크톤 군집내 종 천이와 일차생산력에 크게 영향을 미칠 수 있음을 시사한다.TEX>5.2개)였으며, 등급별 회수율은 각각 GI(8.5%), GII

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