Showing 1 - 20 results of 26 for search '"discrete Fourier transform"', query time: 0.07s Refine Results
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    Algorithm and Architecture Optimization for 2D Discrete Fourier Transforms with Simultaneous Edge Artifact Removal by Faisal Mahmood, Märt Toots, Lars-Göran Öfverstedt, Ulf Skoglund

    Published 2018-01-01
    “…Two-dimensional discrete Fourier transform (DFT) is an extensively used and computationally intensive algorithm, with a plethora of applications. 2D images are, in general, nonperiodic but are assumed to be periodic while calculating their DFTs. …”
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    Digitalization of Spectral Measurements in the Fourier Basis – Development Trends and Problems by O. V. Ponomareva, A. V. Ponomarev, N. V. Smirnova

    Published 2019-09-01
    “…An analysis of digital methods for measuring spectra showed that methods based on Discrete Fourier Transform (DFT) retain their leading role and are effective in almost all subject areas. …”
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    Research on Palmprint Identification Method Based on Quantum Algorithms by Hui Li, Zhanzhan Zhang

    Published 2014-01-01
    “…The proposed algorithm exhibits an exponential speed-up compared with discrete Fourier transform in the feature extraction. Finally, quantum set operations and Grover algorithm are used in palmprint matching. …”
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    Gait Correlation Analysis Based Human Identification by Jinyan Chen

    Published 2014-01-01
    “…The correlation result between the original silhouette and the new one can be used as the raw feature of human gait. Discrete Fourier transform is used to extract features from this correlation result. …”
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    Article
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    Non-uniform Fourier transform based image classification in single-particle Cryo-EM by ZiJian Bai, Jian Huang

    Published 2025-06-01
    “…Leveraging the capabilities of the non-uniform discrete Fourier transform (NUDFT), we have developed an algorithm for the rotation-invariant classification. …”
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    Article
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    An Analysis Method for Time-, Frequency-, and Energy-Domain Characteristics of Downhole Microseismic Signals and Its Application by Xiao-xu Gao, Xiang-xu Pan, Guang-an Zhu

    Published 2021-01-01
    “…Based on SOS microseismic (MS) monitoring system of a certain mine, time-, frequency-, and energy-domain characteristics of MS signals are analyzed by comprehensively applying one-dimensional discrete Fourier transform (DFT) and one-dimensional discrete wavelet transform (DWT). …”
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    Robotic Vision with the Conformal Camera: Modeling Perisaccadic Perception by Jacek Turski

    Published 2010-01-01
    “…Second, the shift of RFs in retinotopic (logarithmic) coordinates is modeled by the shift property of discrete Fourier transform. The perisaccadic mislocalization observed by human subjects in laboratory experiments is the consequence of the fact that RFs' shifts are in logarithmic coordinates.…”
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    Eddy Heat Conduction and Nonlinear Stability of a Darcy Lapwood System Analysed by the Finite Spectral Method by Jónas Elíasson

    Published 2014-01-01
    “…They are called the flak amplitudes. A discrete Fourier transform is used for numerical simulations and here frequency combinations appear that the traditional cut-off infinite transforms do not have. …”
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    60GHz Reverse Modulation Fiber-Wireless System with Two Jointed DSP Algorithms by Long Chen, Ziwei He, Lv Zhao, Bin Zhong

    Published 2018-01-01
    “…In order to improve transmission of this system, the discrete Fourier transform spread (DFT-Spread) technology and the averaging of the channel frequency response (H-averaging) technology are applied. …”
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    Bias Errors due to Leakage Effects When Estimating Frequency Response Functions by Andreas Josefsson, Kjell Ahlin, Göran Broman

    Published 2012-01-01
    “…With Welch's method, the discrete Fourier transform is used and the data is segmented into smaller blocks so that averaging can be performed when estimating the spectrum. …”
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    Combined DFT and Fuzzy Based Faulty Phase Selection and Classification in a Series Compensated Transmission Line by Praveen Kumar Mishra, Anamika Yadav

    Published 2019-01-01
    “…In order to mitigate this problem, a combined discrete Fourier transform and fuzzy (CDFTF) based algorithm has been proposed in this paper. …”
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    Investigation of Range Profiles from a Simplified Ship on Rough Sea Surface and Its Multipath Imaging Mechanisms by Siyuan He, Fan Zhang, Weidong Hu, Lei Zhuang, Xingbin Ye, Guoqiang Zhu

    Published 2012-01-01
    “…The range profiles of a two-dimension (2 D) perfect electric conductor (PEC) ship on a wind-driven rough sea surface are derived by performing an inverse discrete Fourier transform (IDFT) on the wide band backscattered field. …”
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    Sensing Fractional Power Spectrum of Nonstationary Signals with Coprime Filter Banks by Xiaomin Li, Huali Wang, Wanghan Lv, Haichao Luo

    Published 2020-01-01
    “…The coprime discrete Fourier transform (DFT) filter banks provide an effective scheme of spectral sensing for wide-sense stationary (WSS) signals in case that the sampling rate is far lower than the Nyquist sampling rate. …”
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    Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data by Qingwen Xue, Ke Wang, Jian John Lu, Yujie Liu

    Published 2019-01-01
    “…Then, the driving style recognition model’s inputs are extracted from vehicle trajectory features, including acceleration, relative speed, and relative distance, using Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT), and statistical method to facilitate the driving style recognition. …”
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    A Next-Generation Codebook Evolution Strategy for Massive Arrays Using Deep Neurals Networks by Minwoo Choi, Wonjin Sung

    Published 2022-01-01
    “…The discrete Fourier transform (DFT)-based codebook is currently among the mostly commonly adopted codebooks for beamforming using arrays of different shapes and sizes, including the large-scale two-dimensional uniform planar array (UPA). …”
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    Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment by Arunit Maity, P. Prakasam, Sarthak Bhargava

    Published 2025-01-01
    “…The features required for training the proposed KNN classifier are extracted using Goertzel's algorithm that estimates the absolute discrete Fourier transform (DFT) coefficient values for the fundamental DTMF frequencies with or without considering their second harmonic frequencies. …”
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