• 제목/요약/키워드: 2 Dimensional Fourier transform

검색결과 104건 처리시간 0.033초

HEAT EQUATION IN WHITE NOISE ANALYSIS

  • KimLee, Jung-Soon
    • 대한수학회지
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    • 제33권3호
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    • pp.541-555
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    • 1996
  • The Fourier transform plays a central role in the theory of distribution on Euclidean spaces. Although Lebesgue measure does not exist in infinite dimensional spaces, the Fourier transform can be introduced in the space $(S)^*$ of generalized white noise functionals. This has been done in the series of paper by H.-H. Kuo [1, 2, 3], [4] and [5]. The Fourier transform $F$ has many properties similar to the finite dimensional case; e.g., the Fourier transform carries coordinate differentiation into multiplication and vice versa. It plays an essential role in the theory of differential equations in infinite dimensional spaces.

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이차원 퓨리에 변환의 크기와 위상을 이용한 커버곡 검색 (Cover song search based on magnitude and phase of the 2D Fourier transform)

  • 서진수
    • 한국음향학회지
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    • 제37권6호
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    • pp.518-524
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    • 2018
  • 라이브 음악 또는 리메이크를 통해서 재발매된 음악을 원곡의 커버곡이라 부른다. 본 논문은 고속 커버곡 검색을 위한 특징 축약을 위해 2차원 퓨리에 변환을 이용하는 방법을 연구하였다. 이차원 퓨리에 변환은 조변화에 대해서 불변성을 가지고 있으므로, 커버곡 검색을 위한 특징 축약 방법으로 적합하다. 기존 퓨리에 변환 방법에서는 크기값 만을 활용하였으나, 본 논문에서는 인접한 크로마 블록은 같은 조변화를 가진다는 가정하에 위상 정보를 추가로 활용하는 방법을 제안하였다. 두 가지 커버곡 실험 데이터셋에서 성능 비교를 수행하였으며, 제안된 방법이 기존 방법에 비해서 우수한 커버곡 검색 정확도를 보임을 확인하였다.

임의의 1 차원 신호의 최소 위상 신호화와 2차원 위상복원문제에의 응용 (Enforcing minimum-phase conditions on an arbitrry one-dimensional signal and its application ot two-dimensional phase retrieval problem)

  • 김우식
    • 전자공학회논문지S
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    • 제34S권1호
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    • pp.105-114
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    • 1997
  • The phase retrieval problem is concerned with the reconstruction of a signal or its fourier transform phase form the fourier transform magnitude of the signal. This problem does not have a unique solution, in general. If, however, the desired signal is minimum-phase, then it can be decided uniquely. This paper shows that we can make a minimum-phase signal by adding a delta function having a large value at the origin of an arbitrary one-dimensional signal, and a two-dimensional signal can be uniquely specified from its fourier transform magnitude if it is added by a delta function having a large value at the origin, and finally we can solve a two-dimensional phase retrieval problem by decomposing it into several ine-dimensional phase retrieval problems.

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Numerical Inversion Technique for the One and Two-Dimensional L2-Transform Using the Fourier Series and Its Application to Fractional Partial Differential Equations

  • Aghili, Arman;Ansari, Alireza
    • Kyungpook Mathematical Journal
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    • 제52권4호
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    • pp.383-395
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    • 2012
  • In this paper, we use a computational algorithm for the inversion of the one and two-dimensional $\mathcal{L}_2$-transform based on the Bromwich's integral and the Fourier series. The new inversion formula can evaluate the inverse of the $\mathcal{L}_2$-transform with considerable accuracy over a wide range of values of the independent variable and can be devised for the functions which are not Laplace transformable and have damping motion in small interval near origin.

2차원 푸리에변환과 주성분분석을 기반한 초음파 용접검사의 신호분류기법 (Classification Technique for Ultrasonic Weld Inspection Signals using a Neural Network based on 2-dimensional fourier Transform and Principle Component Analysis)

  • 김재준
    • 비파괴검사학회지
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    • 제24권6호
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    • pp.590-596
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    • 2004
  • 신경망 기반의 신호 분류 시스템은 비파괴 검사 시 추출되는 많은 양의 데이터를 처리하기 위한 방법으로 꾸준히 이용되고 있다. 비파괴검사 방법 중, 초음파 탐상법은 용접 지역에서 결함들을 찾기 위하여 비파괴 검사에서 일반적으로 사용되고 있는 추세다. 초음파 탐상법의 중요한 특징은 특정 신호에서 발생하는 불연속성을 판별해내는 능력이다. 지금까지의 보편화되어 있는 기술은 신호를 분류하기 위해 각각의 A-scan 신호를 처리하는 반면 본 논문에서는 이웃하는 A-scan 신호의 정보를 기반으로 하는 2차원 푸리에 변환(Fourier transform)과 주성분 분석(principal component analysis) 기법을 이용하여 특징 벡터를 추출, 분류하는 방법을 제시하고자 한다.

Fractal dimension과 2차원 푸리에변환을 이용한 수질골의 특성화에 관한 실험적 연구 (Characterization of Trabecular Bone Structure using 2D Fourier Transform and Fractal Analysis)

  • 이건일
    • 치과방사선
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    • 제28권2호
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    • pp.339-353
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    • 1998
  • The purpose of this study was to investigate whether a radiographic estimate of osseous fractal dimension and power spectrum of 2D discrete Fourier transform is useful in the characterization of structural changes in bone. Ten specimens of bone were decalcified in fresh 50 ml solutions of 0.1 N hydrochloric acid solution at cummulative timed periods of 0 and 90 minutes. and radiographed from 0 degree projection angle controlled by intraoral parelleling device. I performed one-dimensional variance. fractal analysis of bony profiles and 2D discrete Fourier transform. The results of this study indicate that variance and fractal dimension of scan line pixel intensities decreased significantly in decalcified groups but Fourier spectral analysis didn't discriminate well between control and decalcified specimens.

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Polynomial 변환을 이용한 고속 2 차원 FFT (Two dimensional FFT by Polynomial Transform)

  • 최환석;김원하;한승수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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    • pp.473-476
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    • 2003
  • We suggest 2 dimensional Fast Fourier Transform using Polynomial Transform and integer Fast Fourier Transform. Unlike conventional 2D-FFT using the direct quantization of twiddle factor, the suggested 2D-FFT adopts implemented by the lifting so that the suggested 2D-FFT is power adaptable and reversible. Since the suggested FFT performg integer-to-integer mapping, the transform can be implemented by only bit shifts and auditions without multiplications. In addition. polynomial transform severely reduces the multiplications of 2D-FFT. While preserving the reversibility, complexity of this algorithm is shown to be much lower than that of any other algorithms in terms of the numbers of additions and shifts.

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Robust Digital Watermarking for High-definition Video using Steerable Pyramid Transform, Two Dimensional Fast Fourier Transform and Ensemble Position-based Error Correcting

  • Jin, Xun;Kim, JongWeon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권7호
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    • pp.3438-3454
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    • 2018
  • In this paper, we propose a robust blind watermarking scheme for high-definition video. In the embedding process, luminance component of each frame is transformed by 2-dimensional fast Fourier transform (2D FFT). A secret key is used to generate a matrix of random numbers for the security of watermark information. The matrix is transformed by inverse steerable pyramid transform (SPT). We embed the watermark into the low and mid-frequency of 2D FFT coefficients with the transformed matrix. In the extraction process, the 2D FFT coefficients of each frame and the transformed matrix are transformed by SPT respectively, to produce two oriented sub-bands. We extract the watermark from each frame by cross-correlating two oriented sub-bands. If a video is degraded by some attacks, the watermarks of frames contain some errors. Thus, we use an ensemble position-based error correcting algorithm to estimate the errors and correct them. The experimental results show that the proposed watermarking algorithm is imperceptible and moreover is robust against various attacks. After embedding 64 bits of watermark into each frame, the average peak signal-to-noise ratio between original frames and embedded frames is 45.7 dB.

2차원 전기비저항 모델링에서 후리에역변환의 수치구적법 (Numerical Quadrature Techniques for Inverse Fourier Transform in Two-Dimensional Resistivity Modeling)

  • 김희준
    • 자원환경지질
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    • 제25권1호
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    • pp.73-77
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    • 1992
  • 본 논문에서는 2차원 전기비저항 모델링에서 후리에역변환을 계산하는 수치구적법을 비교하였다. 지수함수 및 큐빅스프라인 보간을 사용한 구적법을 균질대지 모델에 대하여 검토하였다. 이들 기술적용시, ${\lambda}_{min}$을 최소의 샘플링파수라고 할 때 0에서 ${\lambda}_{min}$까지 간격에 대한 적분은 후리에변환된 포텐샬을 대수 함수로 근사함으로써 계산하였다. 이러한 방법은 ${\lambda}=0$에서의 대수적인 불연속성에 기인한 후리에역변환의 오차를 크게 줄일 수 있다. 수치계산 결과, 샘플링간격이 적당하다면 큐빅스프라인 보간법이 지수함수 보간법보다 더 정확함을 알았다.

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THE HEISENBERG INEQUALITY ON ABSTRACT WIENER SPACES

  • Lee, Yuh-Jia
    • 대한수학회지
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    • 제38권2호
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    • pp.283-296
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    • 2001
  • The Heisenberg inequality associated with the uncertainty principle is extended to an infinite dimensional abstract Wiener space (H, B) with an abstract Wiener measure p$_1$. For $\phi$ $\in$ L$^2$(p$_1$) and T$\in$L(B, H), it is shown that (※Equations, See Full-text), where F(sub)$\phi$ is the Fourier-Wiener transform of $\phi$. The conditions when the equality holds also discussed.

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