Results 11 to 20 of about 17,052 (308)
The WaveD Transform in R: Performs Fast Translation-Invariant Wavelet Deconvolution
This paper provides an introduction to a software package called waved making available all code necessary for reproducing the figures in the recently published articles on the WaveD transform for wavelet deconvolution of noisy signals. The forward WaveD
Marc Raimondo, Michael Stewart
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Polar Formed Histogram of Fast Fourier Transform Feature for Time-series Classification Problems [PDF]
Background and Objectives: Time series classification (TSC) means classifying the data over time and based on their behavior. TSC is one of the main machine learning tasks related to time series.
K. Kiaei, H. Omranpour
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Fast Computation of Singular Oscillatory Fourier Transforms
We consider the problem of the numerical evaluation of singular oscillatory Fourier transforms ∫abx-aαb-xβf(x)eiωxdx, where α>-1 and β>-1. Based on substituting the original interval of integration by the paths of steepest descent, if f is analytic ...
Hongchao Kang, Xinping Shao
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The Future Fast Fourier Transform? [PDF]
The authors propose that an inexact discrete Fourier transform such as an approximate matrix-vector approach based on singular values or a variation of the fast-multipole-based algorithm of \textit{A. Dutt} and \textit{V. Rokhlin} [Appl. Comput. Harmon. Anal. 2, No.
Alan Edelman +2 more
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Fourier transforming a trapped Bose-Einstein condensate by waiting a quarter of the trap period: simulation and applications [PDF]
We investigate the property of isotropic harmonic traps to Fourier transform a weakly interacting Bose–Einstein condensate (BEC) every quarter of a trap period.
Ohberg, Patrik; id_orcid +5 more
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A novel secondary code acquisition algorithm for the BDS‐3 B1C signal
The BDS‐3 recently started broadcasting a new civil B1C signal to provide open services for global users, which brings benefits to GNSS‐based applications.
Tongsheng Qiu +4 more
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Fast Partial Fourier Transform
Given a time series vector, how can we efficiently compute a specified part of Fourier coefficients? Fast Fourier transform (FFT) is a widely used algorithm that computes the discrete Fourier transform in many machine learning applications. Despite its pervasive use, all known FFT algorithms do not provide a fine-tuning option for the user to specify ...
Yong-chan Park, Jun-Gi Jang, U Kang
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Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier–Mellin Transform [PDF]
In this paper we focus on extended Euclidean registration of a set of noisy images. We provide an appropriate statistical model for this kind of registration problems, and a new criterion based on Fourier-type transforms is proposed to estimate the ...
Gamboa, Fabrice +2 more
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A Fast Mellin and Scale Transform
A fast algorithm for the discrete-scale (and β-Mellin) transform is proposed. It performs a discrete-time discrete-scale approximation of the continuous-time transform, with subquadratic asymptotic complexity.
Davide Rocchesso, Antonio De Sena
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An Improved Antenna Array Pattern Synthesis Method Using Fast Fourier Transforms
An improved antenna array pattern synthesis method using fast Fourier transform is proposed, which can be effectively applied to the synthesis of large planar arrays with periodic structure.
Xucun Wang, Yiguo Zhou, Yanfei Wang
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