Results 231 to 240 of about 1,047,980 (279)

Window-Presum Parametric Discrete Fourier Transform

2018 IEEE East-West Design & Test Symposium (EWDTS), 2018
The article gives an analysis of the advantages and disadvantages of the original method for implementing a practical spectrum analyzer based on the discrete Fourier transform (DFT). There are two names used for this method: the weighted overlap-add structure, and the window-presum FFT method.
Olga Ponomareva, Alexey Ponomarev, Natalia Ponomareva   +2 more
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Optimum binary windows for discrete Fourier transforms

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
A class of windows, called binary windows, for the frequency-domain implementation of the discrete Fourier transform is proposed. While the conventional time-domain windowing requires N/2 stored values of the data window and N multiplications, the binary windows do not require multiplications or stored constants; rather, they are replaced by shift and ...
K. M. M. Prabhu, H. Renganathan
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On the effects of windowing on the discretization of the fractional Fourier transform

2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017
The eigenvalue degeneracy problem inherent in the discrete Fourier transform (DFT) matrix operator and the development of a full basis of orthogonal eigenvectors have been addressed via a commuting matrix, devoid of the aforementioned eigenvalue degeneracy problem, that also serves as a discrete version of the Gauss-Hermite (G-H) differential operator.
Balu Santhanam, Thalanayar S. Santhanam, Satish Mandai   +2 more
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Moving-window discrete Fourier transform

Journal of Real-Time Image Processing, 2006
The moving-window discrete Fourier transform (MWDFT) is a dynamic spectrum analysis in which the next analysis interval differs from the previous one by including the next signal sample and excluding the first one from the previous analysis interval (Dillard in IEEE Trans Inform Theory 13:2–6, 1967, Comput Elect Eng 1:143–152, 1973, USA Patent 4023028,
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2D Discrete Fourier Transform on Sliding Windows

IEEE Transactions on Image Processing, 2015
Discrete Fourier transform (DFT) is the most widely used method for determining the frequency spectra of digital signals. In this paper, a 2D sliding DFT (2D SDFT) algorithm is proposed for fast implementation of the DFT on 2D sliding windows. The proposed 2D SDFT algorithm directly computes the DFT bins of the current window using the precalculated ...
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Fibonacci Fourier Transform and Sliding Window Filtering

2007 IEEE International Conference on System of Systems Engineering, 2007
This paper presents the new Fibonacci Fourier like transform algorithms. The proposed transforms render the relationship between Fibonacci numbers and the conventional discrete Fourier transform. An application, de-noising images, is demonstrated with the idea of the proposed transforms by sliding window filtering technique.
Sos S. Agaian, C. L. Philip Chen, Mei-Ching Chen   +2 more
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Windowed Fourier Transform

2019
This chapter presents the time–frequency analysis theory by introducing two variants of Fourier transform, i.e., short-time Fourier transform and Gabor filters. The chapter first analyzes the limitation of FT in capturing time and spatial info from a signal or image. It then introduces a naive windowed FT or STFT to overcome the limitation.
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The Windowed Fourier Transform

2002
Fourier analysis, well as wavelet analysis have an intrinsic limitation, which is contained in the uncertainty principle. In order to state this result, we need a definition of the “width” of a function. Here is the one that suits our purpose.
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Windowed Fourier transform profilometry based on improved S-transform

Optics Letters, 2012
A novel method for windowed Fourier transform (WFT) profilometry is presented. This method is based on improved S-transform. The impact of the second order derivative of the phase (φ''(b)) to the ridge of S-transform is derived, and how to estimate this deviation is discussed.
F, Da, F, Dong
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Windowed special affine Fourier transform

Journal of Pseudo-Differential Operators and Applications, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Firdous A. Shah, Aajaz A. Teali, Azhar Y. Tantary   +2 more
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